diff --git a/README.md b/README.md index 00c38ad..ce8ccfb 100644 --- a/README.md +++ b/README.md @@ -41,6 +41,10 @@ The Material Point Method is a numerical technique used to simulate the behavior 8. **Results Processing (`results.py`)**: - Handles saving simulation data to CSV files +9. **Particle Shapes (`particle_shapes.py`)**: + - Defines different particle shapes (e.g., Disk, Block) + - Generates particles for each shape + ## Key Features - Simulation of two colliding elastic disks @@ -49,6 +53,7 @@ The Material Point Method is a numerical technique used to simulate the behavior - Background grid for computation - Visualization of particle positions, velocities, and stresses - Energy tracking (kinetic, elastic, and total) +- Flexible particle shape generation (currently supports Disk and Block) ## Usage @@ -62,6 +67,7 @@ The Material Point Method is a numerical technique used to simulate the behavior - Modify grid size and resolution in `main.py` - Implement new material models in `material.py` - Add boundary conditions in `solver.py` +- Create new particle shapes in `particle_shapes.py` ## Output @@ -88,6 +94,7 @@ The `results_vis.py` script provides an animated visualization of: - The current implementation focuses on 2D simulations - Only linear elastic materials are implemented, but the structure allows for easy addition of other material models - The simulation uses an explicit time integration scheme +- Particle shapes can be easily extended by subclassing the `ParticleShape` class ## Future Improvements @@ -96,6 +103,7 @@ The `results_vis.py` script provides an animated visualization of: - Implement adaptive time-stepping - Optimize performance for larger simulations - Add more boundary condition options +- Implement additional particle shapes ## Dependencies @@ -107,4 +115,8 @@ The `results_vis.py` script provides an animated visualization of: 1. Ensure all dependencies are installed 2. Run `python main.py` to start the simulation -3. After the simulation completes, run `python results_vis.py` to visualize the results \ No newline at end of file +3. After the simulation completes, run `python results_vis.py ` to visualize the results + +## Visualization Options + +The `results_vis.py` script now accepts command-line arguments for specifying the data directory. Use it as follows: \ No newline at end of file diff --git a/main.py b/main.py index c819faa..5a851fb 100644 --- a/main.py +++ b/main.py @@ -11,7 +11,7 @@ # import projections # Setup grid parameters -grid_size = (0.15, 0.2) # Adjust as needed +grid_size = (0.5, 0.5) # Adjust as needed cell_size = 0.01 # Adjust based on your simulation scale # Initialize the grid @@ -27,87 +27,86 @@ # For example, to access the node at position (i, j): # node = grid.get_node(i, j) -# Initialize Material Points +object_ids = [1,2] + +# Initialize Material Points +# Define material properties +material_properties = { + object_ids[0]: { # Object ID 1 + "type": "LinearElastic", + "density": 1000, # kg/m^3 + "youngs_modulus": 1e8, # Pa + "poisson_ratio": 0.3 + }, + object_ids[1]: { # Object ID 2 + "type": "LinearElastic", + "density": 1000, # kg/m^3 + "youngs_modulus": 1e8, # Pa + "poisson_ratio": 0.3 + } +} # Define disk parameters -disk1_radius = 2*cell_size -disk1_center = (0.05, 0.1) +disk1_radius = 6*cell_size +disk1_center = (0.25, 0.25) disk1_object_id = 1 -disk2_radius = 0*cell_size +disk2_radius = 6*cell_size # Calculate the center of the second disk # It should be 2 cells from the edge of the first disk -disk2_x = disk1_center[0] + disk1_radius + cell_size + disk2_radius +disk2_x = disk1_center[0] + disk1_radius + 3*cell_size + disk2_radius disk2_center = (disk2_x, disk1_center[1]) disk2_object_id = 2 # Create Disk objects -disk1 = Disk(cell_size, disk1_radius, disk1_center, disk1_object_id) -disk2 = Disk(cell_size, disk2_radius, disk2_center, disk2_object_id) +disk1 = Disk(cell_size, disk1_radius, disk1_center, object_ids[0], material_properties[object_ids[0]]["density"]) +disk2 = Disk(cell_size, disk2_radius, disk2_center, object_ids[1], material_properties[object_ids[1]]["density"]) # Generate particles for both disks particles1 = disk1.generate_particles() particles2 = disk2.generate_particles() combined_particles = particles1 + particles2 -# Define material properties -material_properties = { - 1: { # Object ID 1 - "type": "LinearElastic", - "density": 1000, # kg/m^3 - "youngs_modulus": 1e7, # Pa - "poisson_ratio": 0.3 - }, - 2: { # Object ID 2 - "type": "LinearElastic", - "density": 1000, # kg/m^3 - "youngs_modulus": 1e7, # Pa - "poisson_ratio": 0.3 - } -} + # Create Particles object -particles = Particles(combined_particles, material_properties) +particles = Particles(combined_particles, material_properties,cell_size) # Set initial velocities for each object -particles.set_object_velocity(object_id=1, velocity=[1.0, 0.0]) # Object 1 moving right -particles.set_object_velocity(object_id=2, velocity=[-1.0, 0.0]) # Object 2 moving left +particles.set_object_velocity(object_id=object_ids[0], velocity=[1.0, 0.0]) # Object 1 moving right +particles.set_object_velocity(object_id=object_ids[1], velocity=[-1.0, 0.0]) # Object 2 moving left print(f"Generated {len(particles1)} particles for disk 1") print(f"Generated {len(particles2)} particles for disk 2") print(f"Total particles: {particles.get_particle_count()}") -# # Call the visualization function -visualize_particles_and_grid(particles, grid, 0) +# # # Call the visualization function +# visualize_particles_and_grid(particles, grid, 0) -# Wait for keyboard input to continue or exit -while True: - user_input = input("Press Enter to continue or '0' to exit: ") - if user_input == '0': - print("Exiting simulation...") - exit() - elif user_input == '': - print("Continuing simulation...") - break - else: - print("Invalid input. Please press Enter to continue or '0' to exit.") +# # Wait for keyboard input to continue or exit +# while True: +# user_input = input("Press Enter to continue or '0' to exit: ") +# if user_input == '0': +# print("Exiting simulation...") +# exit() +# elif user_input == '': +# print("Continuing simulation...") +# break +# else: +# print("Invalid input. Please press Enter to continue or '0' to exit.") -dt = 1e-9#particles.compute_dt() +dt = particles.compute_dt(cfl_factor=0.2) print(f"dt: {dt}") # Create MPM solver solver = MPMSolver(particles, grid, dt) - - -num_steps = 100000 # TODO: Adjust as needed - - +num_steps = 10000 # Create an output directory if it doesn't exist -output_dir = "simulation_output_low_res" +output_dir = "simulation_output" os.makedirs(output_dir, exist_ok=True) # Main simulation loop @@ -115,9 +114,9 @@ solver.step() # Save outputs every 100 steps - if step % 1000 == 0: + if step % 100 == 0: output_file = os.path.join(output_dir, f"step_{step:05d}.csv") - save_particles_to_csv(particles, output_file) + save_particles_to_csv(particles,output_file) print(f"Saved output for step {step} to {output_file}") print("Simulation completed successfully!") diff --git a/nodes.py b/nodes.py index 588d58b..78a6618 100644 --- a/nodes.py +++ b/nodes.py @@ -1,58 +1,170 @@ import numpy as np class Grid: - def __init__(self, physical_size, cell_size): - self.physical_size = np.array(physical_size) + def __init__(self, grid_size, cell_size): + self.grid_size = grid_size self.cell_size = cell_size - self.node_count = np.ceil(self.physical_size / self.cell_size).astype(int) + 1 - self.nodes = self.initialize_grid() - self.total_nodes = np.prod(self.node_count) + self.node_count = (int(grid_size[0] / cell_size), int(grid_size[1] / cell_size)) + self.total_nodes = self.node_count[0] * self.node_count[1] + + # Initialize body_id with the correct size + self.body_id = np.full((2 * self.total_nodes,), -1, dtype=int) + + self.physical_size = (grid_size[0], grid_size[1]) + self.position = np.zeros((self.node_count[0], self.node_count[1], 2)) + self.mass = np.zeros((self.node_count[0], self.node_count[1])) + self.mass_body1 = np.zeros((self.node_count[0], self.node_count[1])) + self.mass_body2 = np.zeros((self.node_count[0], self.node_count[1])) + self.velocity = np.zeros((self.node_count[0], self.node_count[1], 2)) + self.velocity_body1 = np.zeros((self.node_count[0], self.node_count[1], 2)) + self.velocity_body2 = np.zeros((self.node_count[0], self.node_count[1], 2)) + self.momentum = np.zeros((self.node_count[0], self.node_count[1], 2)) + self.momentum_body1 = np.zeros((self.node_count[0], self.node_count[1], 2)) + self.momentum_body2 = np.zeros((self.node_count[0], self.node_count[1], 2)) + self.force = np.zeros((self.node_count[0], self.node_count[1], 2)) + self.force_body1 = np.zeros((self.node_count[0], self.node_count[1], 2)) + self.force_body2 = np.zeros((self.node_count[0], self.node_count[1], 2)) + self.acceleration_body1 = np.zeros((self.node_count[0], self.node_count[1], 2)) + self.acceleration_body2 = np.zeros((self.node_count[0], self.node_count[1], 2)) + self.acceleration = np.zeros((self.node_count[0], self.node_count[1], 2)) + self.normals_body1 = np.zeros((self.node_count[0], self.node_count[1], 2)) + self.normals_body2 = np.zeros((self.node_count[0], self.node_count[1], 2)) + self.initialize_grid() def initialize_grid(self): - grid = np.empty(self.node_count, dtype=object) for i in range(self.node_count[0]): for j in range(self.node_count[1]): x = i * self.cell_size y = j * self.cell_size - grid[i, j] = Node(position=np.array([x, y])) - return grid + self.position[i, j] = [x, y] def reset_nodes(self): - for i in range(self.node_count[0]): - for j in range(self.node_count[1]): - self.nodes[i, j].reset() + self.mass.fill(0) + self.mass_body1.fill(0) + self.mass_body2.fill(0) + self.velocity.fill(0) + self.velocity_body1.fill(0) + self.velocity_body2.fill(0) + self.body_id.fill(-1) # Reset to -1 instead of 0 + self.momentum.fill(0) + self.momentum_body1.fill(0) + self.momentum_body2.fill(0) + self.force.fill(0) + self.force_body1.fill(0) + self.force_body2.fill(0) + self.acceleration.fill(0) + self.acceleration_body1.fill(0) + self.acceleration_body2.fill(0) + self.normals_body1.fill(0) + self.normals_body2.fill(0) def get_node(self, i, j): - return self.nodes[i, j] + cell_ID = i + j * self.node_count[0] + return { + 'position': self.position[i, j], + 'mass': self.mass[i, j], + 'mass_body1': self.mass_body1[i, j], + 'mass_body2': self.mass_body2[i, j], + 'velocity': self.velocity[i, j], + 'velocity_body1': self.velocity_body1[i, j], + 'velocity_body2': self.velocity_body2[i, j], + 'momentum': self.momentum[i, j], + 'momentum_body1': self.momentum_body1[i, j], + 'momentum_body2': self.momentum_body2[i, j], + 'force': self.force[i, j], + 'acceleration': self.acceleration[i, j], + 'acceleration_body1': self.acceleration_body1[i, j], + 'acceleration_body2': self.acceleration_body2[i, j], + 'normals_body1': self.normals_body1[i, j], + 'normals_body2': self.normals_body2[i, j], + 'body_id': self.body_id[2*cell_ID:2*cell_ID+2] # Access the correct slice of the 1D array + } def set_node(self, i, j, node): - self.nodes[i, j] = node - + cell_ID = i + j * self.node_count[0] + self.body_id[2 * cell_ID] = node['body_id'][0] + self.body_id[2 * cell_ID + 1] = node['body_id'][1] + self.mass[i, j] = node['mass'] + self.mass_body1[i, j] = node['mass_body1'] + self.mass_body2[i, j] = node['mass_body2'] + self.velocity[i, j] = node['velocity'] + self.velocity_body1[i, j] = node['velocity_body1'] + self.velocity_body2[i, j] = node['velocity_body2'] + self.momentum[i, j] = node['momentum'] + self.momentum_body1[i, j] = node['momentum_body1'] + self.momentum_body2[i, j] = node['momentum_body2'] + self.force[i, j] = node['force'] + self.force_body1[i, j] = node['force_body1'] + self.force_body2[i, j] = node['force_body2'] + self.acceleration[i, j] = node['acceleration'] + self.acceleration_body1[i, j] = node['acceleration_body1'] + self.acceleration_body2[i, j] = node['acceleration_body2'] + self.normals_body1[i, j] = node['normals_body1'] + self.normals_body2[i, j] = node['normals_body2'] + def get_nearby_nodes(self, particle_position): i = int(particle_position[0] / self.cell_size) j = int(particle_position[1] / self.cell_size) nearby_nodes = [] - for di in range(-1, 2): - for dj in range(-1, 2): + for di in range(-2, 3): + for dj in range(-2, 3): if 0 <= i + di < self.node_count[0] and 0 <= j + dj < self.node_count[1]: - nearby_nodes.append(self.nodes[i + di, j + dj]) + nearby_nodes.append(self.get_node(i + di, j + dj)) return nearby_nodes - @property - def node_count_total(self): - return self.total_nodes + def get_surrounding_nodes(self, particle_position, psep): + index_x = int((particle_position[0] - (psep / 2) - self.position[0, 0, 0]) / self.cell_size) + index_y = int((particle_position[1] - (psep / 2) - self.position[0, 0, 1]) / self.cell_size) + surrounding_nodes = [] + for j in range(3): + for i in range(3): + ni = index_x + i + nj = index_y + j + if 0 <= ni < self.node_count[0] and 0 <= nj < self.node_count[1]: + surrounding_nodes.append(self.get_node(ni, nj)) + else: + surrounding_nodes.append(self.get_node(0, 0)) # Default to (0, 0) if out of bounds + return surrounding_nodes class Node: def __init__(self, position): self.position = position self.mass = 0.0 + self.mass_body1 = 0.0 + self.mass_body2 = 0.0 self.velocity = np.zeros(2) + self.velocity_body1 = np.zeros(2) + self.velocity_body2 = np.zeros(2) self.momentum = np.zeros(2) + self.momentum_body1 = np.zeros(2) + self.momentum_body2 = np.zeros(2) self.force = np.zeros(2) + self.force_body1 = np.zeros(2) + self.force_body2 = np.zeros(2) + self.acceleration = np.zeros(2) + self.acceleration_body1 = np.zeros(2) + self.acceleration_body2 = np.zeros(2) + self.normals_body1 = np.zeros(2) + self.normals_body2 = np.zeros(2) + self.body_id = np.full((2,), -1, dtype=int) def reset(self): self.mass = 0.0 - self.momentum.fill(0) + self.mass_body1 = 0.0 + self.mass_body2 = 0.0 self.velocity.fill(0) + self.velocity_body1.fill(0) + self.velocity_body2.fill(0) + self.momentum.fill(0) + self.momentum_body1.fill(0) + self.momentum_body2.fill(0) self.force.fill(0) + self.force_body1.fill(0) + self.force_body2.fill(0) + self.acceleration.fill(0) + self.acceleration_body1.fill(0) + self.acceleration_body2.fill(0) + self.normals_body1.fill(0) + self.normals_body2.fill(0) + self.body_id.fill(-1) # Reset other properties as needed \ No newline at end of file diff --git a/particle_shapes.py b/particle_shapes.py index f58db89..c0ce25e 100644 --- a/particle_shapes.py +++ b/particle_shapes.py @@ -55,36 +55,40 @@ def _is_inside(self, x, y): return (0 <= x < self.width) and (0 <= y < self.height) class Disk(ParticleShape): - def __init__(self, cell_size, radius, center, object_id): + def __init__(self, cell_size, radius, center, object_id, material_density): super().__init__(cell_size, object_id) self.radius = radius self.center = np.array(center) + self.material_density = material_density # Added material density print(f"Disk created with radius={radius}, center={center}") def generate_particles(self): particles = [] x_min, x_max = self.center[0] - self.radius, self.center[0] + self.radius y_min, y_max = self.center[1] - self.radius, self.center[1] + self.radius - + + # Determine the area per particle + area_per_particle = (self.cell_size ** 2) / self.particles_per_cell + mass_per_particle = self.material_density * area_per_particle + for i in range(int(x_min / self.cell_size), int(x_max / self.cell_size) + 1): for j in range(int(y_min / self.cell_size), int(y_max / self.cell_size) + 1): for px in range(2): for py in range(2): - # Place particles at the center of each quadrant (1/4 and 3/4 of the cell) x = (i + (px + 0.5) / 2) * self.cell_size y = (j + (py + 0.5) / 2) * self.cell_size if self._is_inside(x, y): particle = { 'position': np.array([x, y]), 'velocity': np.zeros(2), - 'mass': 1.0 , - 'volume': 1.0, + 'mass': mass_per_particle, + 'volume': area_per_particle, 'stress': np.zeros((2, 2)), 'strain': np.zeros((2, 2)), - 'object_id': self.object_id, # Add object_id to the particle + 'object_id': max(0, self.object_id), } particles.append(particle) - + print(f"Disk generated {len(particles)} particles") if len(particles) == 0: print(f"Warning: No particles generated. Check disk parameters.") diff --git a/particles.py b/particles.py index 5ac8f3e..1f9f45b 100644 --- a/particles.py +++ b/particles.py @@ -2,12 +2,31 @@ from material import LinearElastic # Import your material models class Particles: - def __init__(self, particle_data, material_properties): - self.particles = [] + def __init__(self, particle_data, material_properties,cell_size): self.material_properties = material_properties - print(f"Initializing Particles with {len(particle_data)} particle data") + self.num_particles = len(particle_data) + self.cell_size = cell_size + + # Initialize numpy arrays for particle properties + self.position = np.zeros((self.num_particles, 2)) + self.velocity = np.zeros((self.num_particles, 2)) + self.Gvelocity = np.zeros((self.num_particles, 2)) + self.acceleration = np.zeros((self.num_particles, 2)) + self.strain_rate = np.zeros((self.num_particles, 2, 2)) + self.density = np.zeros(self.num_particles) + self.mass = np.zeros(self.num_particles) + self.volume = np.zeros(self.num_particles) + self.density_rate = np.zeros((self.num_particles)) + self.stress = np.zeros((self.num_particles, 2, 2)) + self.strain = np.zeros((self.num_particles, 2, 2)) + self.ids = np.zeros(self.num_particles, dtype=int) + self.object_id = np.zeros(self.num_particles, dtype=int) + self.normals = np.zeros((self.num_particles, 2)) + self.materials = [None] * self.num_particles + + print(f"Initializing Particles with {self.num_particles} particle data") self.create_particles(particle_data) - print(f"Finished creating {len(self.particles)} particles") + print(f"Finished creating {self.num_particles} particles") def create_particles(self, particle_data): for i, data in enumerate(particle_data): @@ -24,23 +43,15 @@ def create_particles(self, particle_data): object_id = data['object_id'] material_props = self.material_properties[object_id] - particle = { - 'position': position, - 'velocity': velocity, - 'Gvelocity': np.zeros(2), - 'acceleration': np.zeros(2), - 'strain_rate': np.zeros((2, 2)), - 'density': material_props['density'], - 'mass': data['mass'], - 'volume': data['mass']/material_props['density'], - 'density_rate': np.zeros(2), - 'stress': np.zeros((2, 2)), - 'strain': np.zeros((2, 2)), - 'id': data.get('id', len(self.particles)), - 'object_id': object_id, - 'material': self.create_material(material_props) - } - self.particles.append(particle) + self.position[i] = position + self.velocity[i] = velocity + self.density[i] = material_props['density'] + self.mass[i] = data['mass'] + self.volume[i] = data['mass'] / material_props['density'] + self.ids[i] = data.get('id', i) + self.normals[i] = data.get('normals', [0.0, 0.0]) + self.object_id[i] = object_id + self.materials[i] = self.create_material(material_props) except Exception as e: print(f"Error creating particle {i}: {str(e)}") print(f"Particle data: {data}") @@ -57,44 +68,63 @@ def create_material(self, properties): raise ValueError(f"Unknown material type: {properties['type']}") def get_particle_count(self): - return len(self.particles) + return self.num_particles - def assign_material(self, material_type, properties): - material = { - "type": material_type, - "properties": properties + def get_particles(self): + return { + 'position': self.position, + 'velocity': self.velocity, + 'Gvelocity': self.Gvelocity, + 'accelerations': self.accelerations, + 'strain_rate': self.strain_rate, + 'densities': self.densities, + 'masses': self.masses, + 'volume': self.volume, + 'density_rate': self.density_rate, + 'stress': self.stress, + 'strain': self.strain, + 'normals': self.normals, + 'ids': self.ids, + 'object_id': self.object_id, + 'materials': self.materials } - return material - def get_particles(self): - return self.particles - def get_particle(self, index): - return self.particles[index] - - def compute_dt(self): + return { + 'position': self.position[index], + 'velocity': self.velocity[index], + 'Gvelocity': self.Gvelocity[index], + 'acceleration': self.acceleration[index], + 'strain_rate': self.strain_rate[index], + 'density': self.density[index], + 'mass': self.mass[index], + 'volume': self.volume[index], + 'density_rate': self.density_rate[index], + 'stress': self.stress[index], + 'strain': self.strain[index], + 'normals': self.normals[index], + 'id': self.ids[index], + 'object_id': self.object_id[index], + 'material': self.materials[index] + } + + def compute_dt(self,cfl_factor=0.2): # Compute the time step using CFL condition with stiffness - cfl_factor = 0.2 max_wave_speed = 0.0 min_cell_size = float('inf') - for particle in self.particles: - # Calculate the wave speed for each particle - if 'material' in particle and 'properties' in particle['material']: - properties = particle['material']['properties'] - if 'youngs_modulus' in properties and 'density' in properties: - E = properties['youngs_modulus'] - rho = properties['density'] - wave_speed = np.sqrt(E / rho) - max_wave_speed = max(max_wave_speed, wave_speed) + for i in range(self.num_particles): + material = self.materials[i] + if material: + E = material.youngs_modulus + rho = material.density + wave_speed = np.sqrt(E / rho) + max_wave_speed = max(max_wave_speed, wave_speed) # Find the minimum cell size - if 'cell_size' in particle: - min_cell_size = min(min_cell_size, particle['cell_size']) - - # If cell_size is not available in particle data, use a default value - if min_cell_size == float('inf'): - min_cell_size = 0.05 # Default value, adjust as needed + # Assuming cell_size is a property of the particle, which is not defined in the original code + # Replace with actual logic to determine cell size if available + min_cell_size = min(min_cell_size, self.cell_size) # Compute dt using CFL condition with stiffness if max_wave_speed > 0: @@ -104,16 +134,23 @@ def compute_dt(self): dt = cfl_factor * min_cell_size return dt - - def set_object_velocity(particles, object_id, velocity): - for particle in particles.particles: - if particle['object_id'] == object_id: - particle['velocity'] = np.array(velocity) + + def set_object_velocity(self, object_id, velocity): + for i in range(self.num_particles): + if self.object_id[i] == object_id: + self.velocity[i] = np.array(velocity) def assign_material_properties(self, material, object_id): - for particle in self.particles: - if particle['object_id'] == object_id: - particle['material'] = self.create_material(material) - particle['density'] = material['density'] - particle['volume'] = particle['mass'] / particle['density'] + for i in range(self.num_particles): + if self.object_id[i] == object_id: + self.materials[i] = self.create_material(material) + self.density[i] = material['density'] + self.volume[i] = self.mass[i] / self.density[i] + + + def reset_particles(self): + self.acceleration = np.zeros((self.num_particles, 2)) + self.strain_rate = np.zeros((self.num_particles, 2, 2)) + self.density_rate = np.zeros((self.num_particles)) + # self.normals = np.zeros((self.num_particles, 2)) diff --git a/plotting.py b/plotting.py index dd77a81..09438eb 100644 --- a/plotting.py +++ b/plotting.py @@ -6,8 +6,8 @@ def visualize_particles_and_grid(particles, grid, step): fig, ax = plt.subplots(figsize=(5, 5)) # Extract positions and velocities - positions = np.array([p['position'] for p in particles.get_particles()]) - velocities = np.array([p['velocity'] for p in particles.get_particles()]) + positions = particles.position + velocities = particles.velocity # Ensure velocities is 2D if velocities.ndim == 1: @@ -52,45 +52,26 @@ def visualize_particles_and_grid(particles, grid, step): plt.show() def visualize_particles_with_object_id(particles, grid): - fig, ax = plt.subplots(figsize=(5, 5)) - # Extract positions and object IDs - positions = np.array([p['position'] for p in particles.get_particles()]) - object_ids = np.array([p['object_id'] for p in particles.get_particles()]) - - print(f"Total particles: {len(positions)}") - print(f"Unique object IDs: {np.unique(object_ids)}") - # print(f"Position range: x({positions[:, 0].min()}, {positions[:, 0].max()}), y({positions[:, 1].min()}, {positions[:, 1].max()})") - - # Create a color map for different object IDs - unique_ids = np.unique(object_ids) - colors = plt.cm.rainbow(np.linspace(0, 1, len(unique_ids))) - color_map = dict(zip(unique_ids, colors)) - - # Draw particles as squares - square_size = grid.cell_size / 2 - for pos, obj_id in zip(positions, object_ids): - color = color_map[obj_id] - square = patches.Rectangle((pos[0] - square_size/2, pos[1] - square_size/2), - square_size, square_size, - facecolor=color, edgecolor='none', alpha=0.8) - ax.add_patch(square) + fig, ax = plt.subplots() + unique_ids = np.unique(particles.object_ids) + color_map = plt.cm.get_cmap('tab20', len(unique_ids)) - # Draw MPM grid - for i in range(grid.node_count[0] + 1): - ax.axvline(x=i * grid.cell_size, color='gray', linestyle=':', alpha=0.5) - for j in range(grid.node_count[1] + 1): - ax.axhline(y=j * grid.cell_size, color='gray', linestyle=':', alpha=0.5) + for obj_id in unique_ids: + mask = particles.object_ids == obj_id + ax.scatter(particles.positions[mask, 0], particles.positions[mask, 1], + label=f'Object {obj_id}', color=color_map(obj_id)) - # Set plot properties - ax.set_aspect('equal') ax.set_xlim(0, grid.physical_size[0]) ax.set_ylim(0, grid.physical_size[1]) ax.set_xlabel('X (m)') ax.set_ylabel('Y (m)') ax.set_title('Particles with Object ID') + # Add grid lines + ax.grid(True) + # Add legend - legend_elements = [patches.Patch(facecolor=color_map[id], edgecolor='none', label=f'Object {id}') + legend_elements = [patches.Patch(facecolor=color_map(id), edgecolor='none', label=f'Object {id}') for id in unique_ids] ax.legend(handles=legend_elements, loc='upper right') diff --git a/results_vis.py b/results_vis.py index 8e34d81..9b7cb97 100644 --- a/results_vis.py +++ b/results_vis.py @@ -56,8 +56,8 @@ def read_csv(filename): ax2 = fig.add_subplot(gs[0, 1]) ax3 = fig.add_subplot(gs[1, :]) -scatter1 = ax1.scatter([], [], s=50, c=[], cmap='viridis', marker='s') -scatter2 = ax2.scatter([], [], s=50, c=[], cmap='plasma', marker='s') +scatter1 = ax1.scatter([], [], s=60, c=[], cmap='viridis', marker='s') +scatter2 = ax2.scatter([], [], s=60, c=[], cmap='plasma', marker='s') line1, = ax3.plot([], [], label='Kinetic Energy') line2, = ax3.plot([], [], label='Elastic Energy') line3, = ax3.plot([], [], label='Total Energy') @@ -133,10 +133,10 @@ def update(frame): stress_max = max(stress_max, von_mises.max()) # Update color normalizations - norm1.autoscale(vel_mag) + # norm1.autoscale(vel_mag) # norm1.autoscale(velocities[:, 0]) - # norm1.vmin = -2.0#vel_mag.min() - # norm1.vmax = 2.0 + norm1.vmin = -1.0#vel_mag.min() + norm1.vmax = 1.0 norm2.autoscale(von_mises) # norm2.vmin = 0.0#stress_min # norm2.vmax = 1.0e5#stress_max @@ -154,7 +154,7 @@ def update(frame): # Calculate and store energies youngs_modulus = float(csv_files[frame].split('_')[-1].split('.')[0]) # Extract Young's modulus from filename ke = calculate_kinetic_energy(velocities, masses) - ee = 1e-8*calculate_elastic_energy(stress, volumes, youngs_modulus) + ee = calculate_elastic_energy(stress, volumes, youngs_modulus) te = ke + ee kinetic_energy.append(ke) elastic_energy.append(ee) diff --git a/simulation_output/step_00000.csv b/simulation_output/step_00000.csv index 6189299..49101ea 100644 --- a/simulation_output/step_00000.csv +++ b/simulation_output/step_00000.csv @@ -1,1609 +1,897 @@ particle_id,object_id,pos_x,pos_y,vel_x,vel_y,stress_xx,stress_xy,stress_yx,stress_yy,strain_xx,strain_xy,strain_yx,strain_yy,volume,mass,density,youngs_modulus,poisson_ratio -0,1,0.12666716666666664,0.07333333333333333,0.4999999999999998,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1000.0,100000000.0,0.3 -1,1,0.12666716666666664,0.07666666666666667,0.49999999999999983,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1000.0,100000000.0,0.3 -2,1,0.12333383333333334,0.08333333333333334,0.4999999999999998,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1000.0,100000000.0,0.3 -3,1,0.12333383333333334,0.08666666666666666,0.4999999999999998,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1000.0,100000000.0,0.3 -4,1,0.12666716666666664,0.08333333333333334,0.4999999999999998,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1000.0,100000000.0,0.3 -5,1,0.12666716666666664,0.08666666666666666,0.4999999999999998,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1000.0,100000000.0,0.3 -6,1,0.12333383333333334,0.09333333333333334,0.4999999999999991,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1000.0,100000000.0,0.3 -7,1,0.12333383333333334,0.09666666666666666,0.4999999999999991,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1000.0,100000000.0,0.3 -8,1,0.12666716666666664,0.09333333333333334,0.4999999999999991,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1000.0,100000000.0,0.3 -9,1,0.12666716666666664,0.09666666666666666,0.4999999999999991,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1000.0,100000000.0,0.3 -10,1,0.12333383333333334,0.10333333333333335,0.4999999999999998,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1000.0,100000000.0,0.3 -11,1,0.12333383333333334,0.10666666666666666,0.4999999999999998,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1000.0,100000000.0,0.3 -12,1,0.12666716666666664,0.10333333333333335,0.4999999999999998,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1000.0,100000000.0,0.3 -13,1,0.12666716666666664,0.10666666666666666,0.4999999999999998,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1000.0,100000000.0,0.3 -14,1,0.12333383333333334,0.11333333333333334,0.4999999999999998,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1000.0,100000000.0,0.3 -15,1,0.12333383333333334,0.11666666666666667,0.4999999999999998,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1000.0,100000000.0,0.3 -16,1,0.12666716666666664,0.11333333333333334,0.4999999999999998,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1000.0,100000000.0,0.3 -17,1,0.12666716666666664,0.11666666666666667,0.49999999999999983,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1000.0,100000000.0,0.3 -18,1,0.12666716666666664,0.12333333333333334,0.4999999999999991,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1000.0,100000000.0,0.3 -19,1,0.12666716666666664,0.12666666666666665,0.4999999999999991,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1000.0,100000000.0,0.3 -20,1,0.13333383333333332,0.05666666666666667,0.49999999999999983,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1000.0,100000000.0,0.3 -21,1,0.13666716666666665,0.05333333333333333,0.4999999999999998,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1000.0,100000000.0,0.3 -22,1,0.13666716666666665,0.05666666666666667,0.49999999999999983,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1000.0,100000000.0,0.3 -23,1,0.13333383333333332,0.06333333333333332,0.4999999999999991,0.0,-4.782499183000674e-13,0.0,0.0,-2.0496425070002888e-13,0.0,0.0,0.0,0.0,1.0,1.0,1000.0,100000000.0,0.3 -24,1,0.13333383333333332,0.06666666666666667,0.4999999999999991,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1000.0,100000000.0,0.3 -25,1,0.13666716666666665,0.06333333333333332,0.4999999999999991,0.0,-4.782499183000674e-13,0.0,0.0,-2.0496425070002888e-13,0.0,0.0,0.0,0.0,1.0,1.0,1000.0,100000000.0,0.3 -26,1,0.13666716666666665,0.06666666666666667,0.4999999999999991,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1000.0,100000000.0,0.3 -27,1,0.13333383333333332,0.07333333333333333,0.49999999999999983,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1000.0,100000000.0,0.3 -28,1,0.13333383333333332,0.07666666666666667,0.49999999999999983,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1000.0,100000000.0,0.3 -29,1,0.13666716666666665,0.07333333333333333,0.4999999999999998,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1000.0,100000000.0,0.3 -30,1,0.13666716666666665,0.07666666666666667,0.49999999999999983,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1000.0,100000000.0,0.3 -31,1,0.13333383333333332,0.08333333333333334,0.49999999999999983,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1000.0,100000000.0,0.3 -32,1,0.13333383333333332,0.08666666666666666,0.4999999999999998,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1000.0,100000000.0,0.3 -33,1,0.13666716666666665,0.08333333333333334,0.4999999999999998,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1000.0,100000000.0,0.3 -34,1,0.13666716666666665,0.08666666666666666,0.4999999999999998,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1000.0,100000000.0,0.3 -35,1,0.13333383333333332,0.09333333333333334,0.49999999999999917,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1000.0,100000000.0,0.3 -36,1,0.13333383333333332,0.09666666666666666,0.4999999999999991,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1000.0,100000000.0,0.3 -37,1,0.13666716666666665,0.09333333333333334,0.4999999999999991,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1000.0,100000000.0,0.3 -38,1,0.13666716666666665,0.09666666666666666,0.4999999999999991,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1000.0,100000000.0,0.3 -39,1,0.13333383333333332,0.10333333333333335,0.49999999999999983,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1000.0,100000000.0,0.3 -40,1,0.13333383333333332,0.10666666666666666,0.4999999999999998,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1000.0,100000000.0,0.3 -41,1,0.13666716666666665,0.10333333333333335,0.4999999999999998,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1000.0,100000000.0,0.3 -42,1,0.13666716666666665,0.10666666666666666,0.4999999999999998,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1000.0,100000000.0,0.3 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-37,1,0.05759903753306268,0.10750001268669962,1.0014469250308742,0.00048536140617361353,-2667.233264999209,8.898487115002036,8.898487115002036,-1918.816283091375,0.0,0.0,0.0,0.0,0.001,1.0,1000,10000000.0,0.3 -38,1,0.05259902379932055,0.11250004782706113,1.0008730439756568,0.0018402938589401232,351.056624279005,7.208611704241925,7.208611704241925,350.841423866857,0.0,0.0,0.0,0.0,0.001,1.0,1000,10000000.0,0.3 -39,1,0.05259903833514434,0.11750012690097585,1.0014189350528693,0.004782711418488076,377.4006888553393,5.580676501285043,5.580676501285043,370.45634370951626,0.0,0.0,0.0,0.0,0.001,1.0,1000,10000000.0,0.3 -40,1,0.057599070518619816,0.11250006002356701,1.0026896078462668,0.002277262561207491,-2617.678535902851,10.075413052870909,10.075413052870909,-1864.9022091627296,0.0,0.0,0.0,0.0,0.001,1.0,1000,10000000.0,0.3 -41,1,0.05759911421454949,0.1175001462392349,1.0043314510422057,0.0055374717219924055,-2592.7355663248495,8.254555102457473,8.254555102457473,-1846.331130356134,0.0,0.0,0.0,0.0,0.001,1.0,1000,10000000.0,0.3 -42,1,0.06259910356855358,0.08749991387201207,1.003911495975215,-0.0032335795305051197,248.06378028288123,-9.132766674038754,-9.132766674038754,245.8225904184483,0.0,0.0,0.0,0.0,0.001,1.0,1000,10000000.0,0.3 -43,1,0.0625990840536137,0.09249994889994408,1.0032038551281377,-0.0019555399233715455,334.4894340364356,-13.120044584557995,-13.120044584557995,332.3144328339343,0.0,0.0,0.0,0.0,0.001,1.0,1000,10000000.0,0.3 -44,1,0.0625990667526436,0.09749998296662421,1.0025638661770913,-0.0006518483491898919,366.09844803128664,-7.028405382013965,-7.028405382013965,355.8531386275254,0.0,0.0,0.0,0.0,0.001,1.0,1000,10000000.0,0.3 -45,1,0.06759915141219444,0.09249988002533477,1.0056879256936067,-0.004614304099952347,-2593.963563623273,-8.553379764175373,-8.553379764175373,-1827.2034526025855,0.0,0.0,0.0,0.0,0.001,1.0,1000,10000000.0,0.3 -46,1,0.06759915803798293,0.09749996000876752,1.0059762750842625,-0.0015380791776288532,-2563.0503471196466,-2.816501059365044,-2.816501059365044,-1804.181944700208,0.0,0.0,0.0,0.0,0.001,1.0,1000,10000000.0,0.3 -47,1,0.06259906675300068,0.10250001703331083,1.0025638910184782,0.000651843833183628,366.0989575912614,7.029243696108958,7.029243696108958,355.8534971516316,0.0,0.0,0.0,0.0,0.001,1.0,1000,10000000.0,0.3 -48,1,0.06259908405468487,0.1075000511001163,1.003203929652498,0.001955544494051301,334.4898065869337,13.040499708238507,13.040499708238507,332.31395589019064,0.0,0.0,0.0,0.0,0.001,1.0,1000,10000000.0,0.3 -49,1,0.06759915803863854,0.10250003999263746,1.0059763208561556,0.0015381767056565454,-2563.0496944085276,2.817461364830987,2.817461364830987,-1804.181374491859,0.0,0.0,0.0,0.0,0.001,1.0,1000,10000000.0,0.3 -50,1,0.06759915141416407,0.10750011997691633,1.0056880630091813,0.0046144608561785,-2593.9643718262037,8.366022080891973,8.366022080891973,-1827.205456848357,0.0,0.0,0.0,0.0,0.001,1.0,1000,10000000.0,0.3 -51,1,0.06259910356961684,0.11250008612807354,1.003911569703743,0.0032335858471595697,248.06512291038246,9.133088936811054,9.133088936811054,245.8230933678787,0.0,0.0,0.0,0.0,0.001,1.0,1000,10000000.0,0.3 diff --git a/solver.py b/solver.py index 55399d6..a35dc64 100644 --- a/solver.py +++ b/solver.py @@ -3,20 +3,12 @@ from nodes import Grid from shape_function import shape_function, gradient_shape_function - class MPMSolver: def __init__(self, particles: Particles, grid: Grid, dt: float): self.particles = particles self.grid = grid self.dt = dt self.time = 0.0 - - # Initialize initial_volume and initial_density for each particle - for particle in self.particles.particles: - if 'initial_volume' not in particle: - particle['initial_volume'] = particle['volume'] - if 'initial_density' not in particle: - particle['initial_density'] = particle['density'] def step(self): self.prepare_step() @@ -24,142 +16,325 @@ def step(self): self.update_grid() self.grid_to_particle() self.update_particles() - # self.apply_boundary_conditions() self.time += self.dt def prepare_step(self): self.grid.reset_nodes() - - # Initialize node_particle_map as a 2D list of lists - self.grid.node_particle_map = [[[] for _ in range(self.grid.node_count[1])] - for _ in range(self.grid.node_count[0])] + self.particles.reset_particles() - for p_idx in range(len(self.particles.particles)): - particle_pos = self.particles.particles[p_idx]['position'] + def particle_to_grid(self): + for p_idx in range(self.particles.num_particles): + particle_pos = self.particles.position[p_idx] i = int(particle_pos[0] / self.grid.cell_size) j = int(particle_pos[1] / self.grid.cell_size) - node_range = 2 # Influence radius + for di in range(-2, 3): + for dj in range(-2, 3): + cell_i = i + di + cell_j = j + dj + + # Ensure cell_i and cell_j are within valid bounds + if 0 <= cell_i < self.grid.node_count[0] and 0 <= cell_j < self.grid.node_count[1]: + cell_ID = cell_i + cell_j * self.grid.node_count[0] - for di in range(-node_range, node_range + 1): - for dj in range(-node_range, node_range + 1): - node_i = i + di - node_j = j + dj + # Debug statements to trace the values + # if cell_ID >= self.grid.total_nodes or cell_ID < 0: + # print(f"Debug: cell_i={cell_i}, cell_j={cell_j}, cell_ID={cell_ID}, total_nodes={self.grid.total_nodes}") + # continue + + node_pos = self.grid.position[cell_i, cell_j] - if 0 <= node_i < self.grid.node_count[0] and 0 <= node_j < self.grid.node_count[1]: - node_pos = np.array([node_i * self.grid.cell_size, node_j * self.grid.cell_size]) shape_x, shape_y = shape_function(particle_pos, node_pos, self.grid.cell_size) + grad_shape_x, grad_shape_y = gradient_shape_function(particle_pos, node_pos, self.grid.cell_size) - if shape_x * shape_y > 0: - self.grid.node_particle_map[node_i][node_j].append(p_idx) + shape_value = shape_x * shape_y + mp_mass = self.particles.mass[p_idx] + mp_density = self.particles.density[p_idx] + mp_obj_id = self.particles.object_id[p_idx] + # print(f"Debug: mp_obj_id={mp_obj_id}, self.grid.body_id[2*cell_ID]={self.grid.body_id[2*cell_ID]}, self.grid.body_id[2*cell_ID + 1]={self.grid.body_id[2*cell_ID + 1]}") - def particle_to_grid(self): + # Contact/Multibody handling + if self.grid.body_id[2*cell_ID] == -1: + self.grid.body_id[2*cell_ID] = mp_obj_id + elif self.grid.body_id[2*cell_ID + 1] == -1 and self.grid.body_id[2*cell_ID] != mp_obj_id: + self.grid.body_id[2*cell_ID + 1] = mp_obj_id + + # Update node properties for center of mass + self.grid.mass[cell_i, cell_j] += mp_mass * shape_value + self.grid.momentum[cell_i, cell_j] += mp_mass * self.particles.velocity[p_idx] * shape_value + + force_x = -(mp_mass / mp_density) * ( + grad_shape_x * shape_y * self.particles.stress[p_idx, 0, 0] + + grad_shape_y * shape_x * self.particles.stress[p_idx, 0, 1] + ) + force_y = -(mp_mass / mp_density) * ( + grad_shape_x * shape_y * self.particles.stress[p_idx, 1, 0] + + grad_shape_y * shape_x * self.particles.stress[p_idx, 1, 1] + ) + + self.grid.force[cell_i, cell_j][0] += force_x + self.grid.force[cell_i, cell_j][1] += force_y + + # Update body1 properties + if self.grid.body_id[2*cell_ID] == mp_obj_id: + # print(f"Debug: mp_obj_id={mp_obj_id}, self.grid.body_id[2*cell_ID]={self.grid.body_id[2*cell_ID]}") + self.grid.mass_body1[cell_i, cell_j] += mp_mass * shape_value + self.grid.momentum_body1[cell_i, cell_j] += mp_mass * self.particles.velocity[p_idx] * shape_value + self.grid.force_body1[cell_i, cell_j][0] += force_x + self.grid.force_body1[cell_i, cell_j][1] += force_y + self.grid.normals_body1[cell_i, cell_j][0] += grad_shape_x * shape_y * self.particles.volume[p_idx] + self.grid.normals_body1[cell_i, cell_j][1] += shape_x * grad_shape_y * self.particles.volume[p_idx] + + # Update body2 properties + elif self.grid.body_id[2*cell_ID + 1] == mp_obj_id: + # print(f"Debug: mp_obj_id={mp_obj_id}, self.grid.body_id[2*cell_ID + 1]={self.grid.body_id[2*cell_ID + 1]}") + self.grid.mass_body2[cell_i, cell_j] += mp_mass * shape_value + self.grid.momentum_body2[cell_i, cell_j] += mp_mass * self.particles.velocity[p_idx] * shape_value + self.grid.force_body2[cell_i, cell_j][0] += force_x + self.grid.force_body2[cell_i, cell_j][1] += force_y + self.grid.normals_body2[cell_i, cell_j][0] += grad_shape_x * shape_y * self.particles.volume[p_idx] + self.grid.normals_body2[cell_i, cell_j][1] += shape_x * grad_shape_y * self.particles.volume[p_idx] + + def update_grid(self): + dt = self.dt / 2 if self.time <= self.dt else self.dt + gravity = np.array([0, 0]) # Gravity is off for now for i in range(self.grid.node_count[0]): for j in range(self.grid.node_count[1]): - node = self.grid.nodes[i, j] - node_pos = np.array([i * self.grid.cell_size, j * self.grid.cell_size]) + cell_ID = i + j * self.grid.node_count[0] + + if self.grid.mass[i, j] > 1e-9: + # Calculate center of mass velocity + self.grid.velocity[i, j] = self.grid.momentum[i, j] / self.grid.mass[i, j] - node.force = np.zeros(2) - node.mass = 0 - node.momentum = np.zeros(2) + # Normalize normal vectors + mag1 = np.sqrt(self.grid.normals_body1[i, j, 0]**2 + self.grid.normals_body1[i, j, 1]**2) + mag2 = np.sqrt(self.grid.normals_body2[i, j, 0]**2 + self.grid.normals_body2[i, j, 1]**2) - particle_indices = self.grid.node_particle_map[i][j] + if mag1 > 1e-8: + self.grid.normals_body1[i, j] /= mag1 + else: + self.grid.normals_body1[i, j] = [0.0, 0.0] - for p_idx in particle_indices: - particle = self.particles.get_particle(p_idx) - particle_pos = particle['position'] + if mag2 > 1e-8: + self.grid.normals_body2[i, j] /= mag2 + else: + self.grid.normals_body2[i, j] = [0.0, 0.0] - shape_x, shape_y = shape_function(particle_pos, node_pos, self.grid.cell_size) - grad_shape_x, grad_shape_y = gradient_shape_function(particle_pos, node_pos, self.grid.cell_size) + # Contact Detection + if self.grid.body_id[2*cell_ID+1] != -1: # only perform when two bodies are detected at a node + approach1 = approach2 = 0.0 + rel_vel_body1 = [0.0, 0.0] + rel_vel_body2 = [0.0, 0.0] - shape_value = shape_x * shape_y - # Update node properties - node.mass += particle['mass'] * shape_value - node.momentum += particle['mass'] * particle['velocity'] * shape_value + if self.grid.mass_body1[i, j] != 0.0: + rel_vel_body1 = [ + self.grid.momentum_body1[i, j, 0] / self.grid.mass_body1[i, j] - self.grid.velocity[i, j, 0], + self.grid.momentum_body1[i, j, 1] / self.grid.mass_body1[i, j] - self.grid.velocity[i, j, 1] + ] + approach1 = (rel_vel_body1[0] * self.grid.normals_body1[i, j, 0] + + rel_vel_body1[1] * self.grid.normals_body1[i, j, 1]) - force_x = -(particle['mass'] / particle['density']) * ( - grad_shape_x * shape_y * particle['stress'][0, 0] + - grad_shape_y * shape_x * particle['stress'][0, 1] - ) - force_y = -(particle['mass'] / particle['density']) * ( - grad_shape_x * shape_y * particle['stress'][1, 0] + - grad_shape_y * shape_x * particle['stress'][1, 1] - ) + if self.grid.mass_body2[i, j] != 0.0: + rel_vel_body2 = [ + self.grid.momentum_body2[i, j, 0] / self.grid.mass_body2[i, j] - self.grid.velocity[i, j, 0], + self.grid.momentum_body2[i, j, 1] / self.grid.mass_body2[i, j] - self.grid.velocity[i, j, 1] + ] + approach2 = (rel_vel_body2[0] * self.grid.normals_body2[i, j, 0] + + rel_vel_body2[1] * self.grid.normals_body2[i, j, 1]) - node.force[0] += force_x - node.force[1] += force_y + is_approach = (approach1 > 0.01) or (approach2 > 0.01) - def update_grid(self): - dt = self.dt / 2 if self.time <= self.dt else self.dt - gravity = np.array([0, 0]) # Gravity is off for now - for node in self.grid.nodes.flat: - if node.mass > 1e-9: - node.force += node.mass * gravity - node.momentum += node.force * dt - node.velocity = node.momentum / node.mass + if is_approach: # two bodies are moving toward each other + # print(f"Debug: approach1={approach1}, approach2={approach2}") + # Update body1 + if self.grid.mass_body1[i, j] != 0.0: + # Placeholder for Coulomb friction calculation + contact_normals = self.grid.normals_body1[i, j] + # contact_normals = self.grid.normals_body1[i, j] + friction_normals = [0.0, 0.0] + mu_prime = 0.0 + # Replace the above with actual implementation + + self.grid.velocity_body1[i, j] = [ + self.grid.momentum_body1[i, j, 0] / self.grid.mass_body1[i, j] - approach1 * contact_normals[0], + self.grid.momentum_body1[i, j, 1] / self.grid.mass_body1[i, j] - approach1 * contact_normals[1] + ] + self.grid.acceleration_body1[i, j] = [ + self.grid.force_body1[i, j, 0] / self.grid.mass_body1[i, j] - (approach1 * contact_normals[0]) / dt, + self.grid.force_body1[i, j, 1] / self.grid.mass_body1[i, j] - (approach1 * contact_normals[1]) / dt + ] + + if self.time <= self.dt: + self.grid.velocity_body1[i, j, 0] += self.grid.acceleration_body1[i, j, 0] * 0.5 * dt + self.grid.velocity_body1[i, j, 1] += self.grid.acceleration_body1[i, j, 1] * 0.5 * dt + else: + self.grid.velocity_body1[i, j, 0] += self.grid.acceleration_body1[i, j, 0] * dt + self.grid.velocity_body1[i, j, 1] += self.grid.acceleration_body1[i, j, 1] * dt - # Clear forces for the next step - # for node in self.grid.nodes.flat: - # node.force = np.zeros(2) + # Update body2 + if self.grid.mass_body2[i, j] != 0.0: + # Placeholder for Coulomb friction calculation + contact_normals = self.grid.normals_body2[i, j] + # contact_normals = self.grid.normals_body2[i, j] + friction_normals = [0.0, 0.0] + mu_prime = 0.0 + # Replace the above with actual implementation + + self.grid.velocity_body2[i, j] = [ + self.grid.momentum_body2[i, j, 0] / self.grid.mass_body2[i, j] - approach2 * contact_normals[0], + self.grid.momentum_body2[i, j, 1] / self.grid.mass_body2[i, j] - approach2 * contact_normals[1] + ] + self.grid.acceleration_body2[i, j] = [ + self.grid.force_body2[i, j, 0] / self.grid.mass_body2[i, j] - (approach2 * contact_normals[0]) / dt, + self.grid.force_body2[i, j, 1] / self.grid.mass_body2[i, j] - (approach2 * contact_normals[1]) / dt + ] + + if self.time <= self.dt: + self.grid.velocity_body2[i, j, 0] += self.grid.acceleration_body2[i, j, 0] * 0.5 * dt + self.grid.velocity_body2[i, j, 1] += self.grid.acceleration_body2[i, j, 1] * 0.5 * dt + else: + self.grid.velocity_body2[i, j, 0] += self.grid.acceleration_body2[i, j, 0] * dt + self.grid.velocity_body2[i, j, 1] += self.grid.acceleration_body2[i, j, 1] * dt + + else: # Bodies aren't approaching, so they can be updated separately + # Update body1 + if self.grid.mass_body1[i, j] != 0.0: + self.grid.velocity_body1[i, j] = [ + self.grid.momentum_body1[i, j, 0] / self.grid.mass_body1[i, j], + self.grid.momentum_body1[i, j, 1] / self.grid.mass_body1[i, j] + ] + self.grid.acceleration_body1[i, j] = [ + self.grid.force_body1[i, j, 0] / self.grid.mass_body1[i, j], + self.grid.force_body1[i, j, 1] / self.grid.mass_body1[i, j] + ] + + if self.time <= self.dt: + self.grid.velocity_body1[i, j, 0] += self.grid.acceleration_body1[i, j, 0] * 0.5 * dt + self.grid.velocity_body1[i, j, 1] += self.grid.acceleration_body1[i, j, 1] * 0.5 * dt + else: + self.grid.velocity_body1[i, j, 0] += self.grid.acceleration_body1[i, j, 0] * dt + self.grid.velocity_body1[i, j, 1] += self.grid.acceleration_body1[i, j, 1] * dt + + # Update body2 + if self.grid.mass_body2[i, j] != 0.0: + self.grid.velocity_body2[i, j] = [ + self.grid.momentum_body2[i, j, 0] / self.grid.mass_body2[i, j], + self.grid.momentum_body2[i, j, 1] / self.grid.mass_body2[i, j] + ] + self.grid.acceleration_body2[i, j] = [ + self.grid.force_body2[i, j, 0] / self.grid.mass_body2[i, j], + self.grid.force_body2[i, j, 1] / self.grid.mass_body2[i, j] + ] + + if self.time <= self.dt: + self.grid.velocity_body2[i, j, 0] += self.grid.acceleration_body2[i, j, 0] * 0.5 * dt + self.grid.velocity_body2[i, j, 1] += self.grid.acceleration_body2[i, j, 1] * 0.5 * dt + else: + self.grid.velocity_body2[i, j, 0] += self.grid.acceleration_body2[i, j, 0] * dt + self.grid.velocity_body2[i, j, 1] += self.grid.acceleration_body2[i, j, 1] * dt + + else: # only one body detected at this node + if self.grid.mass_body1[i, j] != 0.0: + self.grid.velocity_body1[i, j] = [ + self.grid.momentum_body1[i, j, 0] / self.grid.mass_body1[i, j], + self.grid.momentum_body1[i, j, 1] / self.grid.mass_body1[i, j] + ] + self.grid.acceleration_body1[i, j] = [ + self.grid.force_body1[i, j, 0] / self.grid.mass_body1[i, j], + self.grid.force_body1[i, j, 1] / self.grid.mass_body1[i, j] + ] + + if self.time <= self.dt: + self.grid.velocity_body1[i, j, 0] += self.grid.acceleration_body1[i, j, 0] * 0.5 * dt + self.grid.velocity_body1[i, j, 1] += self.grid.acceleration_body1[i, j, 1] * 0.5 * dt + else: + self.grid.velocity_body1[i, j, 0] += self.grid.acceleration_body1[i, j, 0] * dt + self.grid.velocity_body1[i, j, 1] += self.grid.acceleration_body1[i, j, 1] * dt + + # Update center of mass fields + self.grid.force[i, j] += self.grid.mass[i, j] * gravity + self.grid.momentum[i, j] += self.grid.force[i, j] * dt + self.grid.velocity[i, j] = self.grid.momentum[i, j] / self.grid.mass[i, j] def grid_to_particle(self): - for p_idx, particle in enumerate(self.particles.particles): + for p_idx in range(self.particles.num_particles): particle_velocity_update = np.zeros(2) strain_rate = np.zeros((2, 2)) acceleration_update = np.zeros(2) - nearby_nodes = self.grid.get_nearby_nodes(particle['position']) density_rate = 0 + normal_update = np.zeros(2) + velocity = np.zeros(2) + acceleration = np.zeros(2) + normals = np.zeros(2) + particle_pos = self.particles.position[p_idx] + mp_obj_id = self.particles.object_id[p_idx] + nearby_nodes = self.grid.get_nearby_nodes(particle_pos) + for node in nearby_nodes: - if node.mass > 1e-9: - shape_x, shape_y = shape_function(particle['position'], node.position, self.grid.cell_size) - grad_shape_x, grad_shape_y = gradient_shape_function(particle['position'], node.position, self.grid.cell_size) + if node['mass'] > 0: + shape_x, shape_y = shape_function(particle_pos, node['position'], self.grid.cell_size) + grad_shape_x, grad_shape_y = gradient_shape_function(particle_pos, node['position'], self.grid.cell_size) shape_value = shape_x * shape_y - particle_velocity_update += shape_value * node.velocity - acceleration_update += shape_value * node.force / node.mass - density_rate -= particle['density']*((grad_shape_x*shape_y*node.velocity[0])+(grad_shape_y*shape_x*node.velocity[1])) + + if node['body_id'][0] == mp_obj_id: + velocity[0] = node['velocity_body1'][0] + velocity[1] = node['velocity_body1'][1] + acceleration[0] = node['acceleration_body1'][0] + acceleration[1] = node['acceleration_body1'][1] + normals[0] = node['normals_body1'][0] + normals[1] = node['normals_body1'][1] + elif node['body_id'][1] == mp_obj_id: + velocity[0] = node['velocity_body2'][0] + velocity[1] = node['velocity_body2'][1] + acceleration[0] = node['acceleration_body2'][0] + acceleration[1] = node['acceleration_body2'][1] + normals[0] = node['normals_body2'][0] + normals[1] = node['normals_body2'][1] + else: + continue # Skip if particle doesn't belong to either body at this node + + density_rate -= self.particles.density[p_idx] * ( + (grad_shape_x * shape_y * velocity[0]) + + (grad_shape_y * shape_x * velocity[1]) + ) + + acceleration_update[0] += shape_value * acceleration[0] + acceleration_update[1] += shape_value * acceleration[1] + particle_velocity_update[0] += shape_value * velocity[0] + particle_velocity_update[1] += shape_value * velocity[1] + # Calculate strain rate components - strain_rate[0, 0] += grad_shape_x * shape_y * node.velocity[0] # exx - strain_rate[0, 1] += 0.5 * (grad_shape_x * shape_y * node.velocity[1] + grad_shape_y * shape_x * node.velocity[0]) # exy + strain_rate[0, 0] += grad_shape_x * shape_y * velocity[0] # exx + strain_rate[0, 1] += 0.5 * (grad_shape_x * shape_y * velocity[1] + grad_shape_y * shape_x * velocity[0]) # exy strain_rate[1, 0] = strain_rate[0, 1] # eyx = exy - strain_rate[1, 1] += grad_shape_y * shape_x * node.velocity[1] # eyy - - # Update particle velocity - particle['Gvelocity'] = particle_velocity_update - # Update acceleration - particle['acceleration'] = acceleration_update - # Store strain rate in particle - particle['strain_rate'] = strain_rate - # Store density rate in particle - particle['density_rate'] = density_rate - def update_particles(self): - - for particle in self.particles.particles: - # Update velocity using both grid-interpolated velocity and acceleration - particle['velocity'] += particle['acceleration'] * self.dt - # Update position - particle['position'] += particle['velocity'] * self.dt + strain_rate[1, 1] += grad_shape_y * shape_x * velocity[1] # eyy - # particle['density'] += particle['density_rate'] * self.dt - # particle['volume'] = particle['mass'] / particle['density'] - # Update deformation gradient (F) - # identity = np.eye(2) - # particle['F'] = np.dot(identity + self.dt * particle['strain_rate'], particle.get('F', identity)) + # Update normals + normal_update += shape_value * normals[:2] # Only use x and y components - # # Update volume - # J = np.linalg.det(particle['F']) - # particle['volume'] = particle['initial_volume'] * J + # Update particle properties + self.particles.Gvelocity[p_idx] = particle_velocity_update + self.particles.acceleration[p_idx] = acceleration_update + self.particles.strain_rate[p_idx] = strain_rate + self.particles.density_rate[p_idx] = density_rate + # self.particles.normals[p_idx] = normal_update - # Update density - # particle['density'] = particle['initial_density'] / J + def update_particles(self): + for p_idx in range(self.particles.num_particles): + # Update velocity using both grid-interpolated velocity and acceleration + self.particles.velocity[p_idx] += self.particles.acceleration[p_idx] * self.dt + # Update position + self.particles.position[p_idx] += self.particles.Gvelocity[p_idx] * self.dt + self.particles.density[p_idx] += self.particles.density_rate[p_idx] * self.dt + self.particles.volume[p_idx] = self.particles.mass[p_idx] / self.particles.density[p_idx] # Update stress using the material model - material = particle['material'] - stress_rate = material.compute_stress_rate(particle['strain_rate']) - particle['stress'] += stress_rate * self.dt + material = self.particles.materials[p_idx] + stress_rate = material.compute_stress_rate(self.particles.strain_rate[p_idx]) + self.particles.stress[p_idx] += stress_rate * self.dt def apply_boundary_conditions(self): pass - # Implement boundary conditions here - + # Implement boundary conditions here \ No newline at end of file