Integrated Parameter Study and Serviceability Assessment of Building Structures under Seismic Ground Motion using Stochastic Polynomial Chaos Expansion
Author: Wei-Teng, Kao
Faculty: Chair of Structural Mechanics, Technical University of Munich
Geothermal energy is a renewable resource that currently draws significant attention in Germany. However, its side effect, geothermally induced earthquakes, must be considered when planning a power plant near residential areas. In the thesis, two questions are answered. First, will those earthquakes damage the building or make residents uncomfortable? Second, what is the predominant seismic parameter causing the negative effect on the structures and residents?
The following approaches are proposed to answer these two questions. First, a scenariobased ground motion generator is introduced that models the seismic event in the Insheim area, Germany. This generator can generate representative ground motion with stochasticity using seismic parameters such as moment magnitude and rupture distance. Once the generator is built, the responses of the structure excited by the ground motion are simulated and evaluated. Second, when performing serviceability and comfortability analysis, a large number of simulations are usually required, which will be highly time-consuming. To accelerate the assessment, a surrogate model, Stochastic Polynomial Chaos Expansion, is utilized. This surrogate model can efficiently re-interpret the relationship between inputted seismic parameters and outputted response, including the system’s stochasticity.
Finally, the significance of each input seismic parameter will be analyzed using global sensitivity analysis, and the potential damage and adverse effects on residents will be evaluated using serviceability and comfortability analysis.
This is the source code for master thesis.
Please contact Wei-Teng, Kao via [email protected] for further information.
In the repo, there are three main parts, which are:
- Scenario based ground motion generator (SBGMG)
- Stochastic polynomial chaos expansion (SPCE)
- Bulding's model written in ANSYS APDL
The application and examples are included in this folder.
Please check further information in their corresponding README files.