small change case1 5

parduino · Jun 10, 2024 · 68ec96a · 68ec96a
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diff --git a/source/.case_1.rst.swp b/source/.case_1.rst.swp
diff --git a/source/.case_1.rst.un~ b/source/.case_1.rst.un~
diff --git a/source/case_1.rst b/source/case_1.rst
@@ -26,7 +26,6 @@ The example problems in this project will utilize the scenario, soil profile, an
 .. figure:: ./images/case1_settlementProblem.png
     :scale: 45 %
     :align: center
-    :figclass: align-center>
 
      Fig. 1. Problem statement.
 
@@ -231,14 +230,18 @@ Example One - Forward Propagation
 The results for Forward Propagation are outlined below:
 
 .. figure:: ./images/case1_ForwardPropagationResults.png
+            :align: center
+
+            Fig. 4. Forward propagation results.
+
 
 The results indicate that, given the mean parameters and standard deviation, a total settlement of 1.31 inches is expected with a standard deviation of 0.88 inches (CoV = 0.66). The corresponding histogram, based on Latin Hypercube Sampling (LHS), along with the associated normal distribution curve, is shown in the figure below:
 
 .. figure:: ./images/case1_propagation_Normalized_Settl_histogram.png
    :scale: 40%
    :align: center
 
-   Fig. 1. QuoFEM propagation histogram.
+   Fig. 5. QuoFEM propagation histogram.
 
 
 Example Two - Sensitivity Analysis
@@ -262,12 +265,14 @@ The results for the Sensitivity Analysis in QuoFEM are outlined below. Uncertain
 .. figure:: ./images/case1_Sensitivity2.png
     :scale: 60 %
     :align: center
-    :figclass: align-center>
+
+    Fig. 6. QuoFEM sensitivity results.
 
 .. figure:: ./images/case1_Sensitivity.png
     :scale: 100 %
     :align: center
-    :figclass: align-center>
+
+    Fig. 7. QuoFEM interface.
 
 
 Example Three - Parameter Calibration
@@ -287,6 +292,8 @@ When testing the two different deterministic calibration algorithms supported in
             :scale: 80%
             :align: center
 
+            Fig. 8. Settlement field as a function of Cc and Precon pressure.
+
 Bayesian Calibration
 ^^^^^^^^^^^^^^^^^^^^
 
@@ -314,6 +321,9 @@ The results for Bayesian Calibration are outlined below:
 .. figure:: ./images/case1_BayesianResults1.png
 
 .. figure:: ./images/case1_BayesianResults2.png
+            :align: center
+
+            Fig. 9. QuoFEM Bayesian calibration results.
 
 The figure shows Cc and Precon pressure are the most relevant parameters. 
 
@@ -323,6 +333,8 @@ A more in-depth analysis using prior and posterior distributions reveals that th
           :scale: 80%
           :align: center
 
+          Fig. 10. Prior and posterior distributions from Bayesian calibration.
+
 
 Remarks
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