fmk - reordeing examples in tool and removing dropdown from README.rs…

…t as was breaking doc build
NHERI-SimCenter · Mar 30, 2023 · 00d6152 · 00d6152
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diff --git a/Examples/Examples.json b/Examples/Examples.json
@@ -1,7 +1,7 @@
 {
     "Examples": [
     {
-      "name": "Two-Dimensional Truss: Sampling, Reliability and Sensitivity",
+      "name": "Forward Propogation - OpenSees",
       "description": "This example illustrates how quoFEM interacts with the Tcl interpreter for OpenSees. A simple forward propagation procedure is run to estimate the first and second central moments of a FE model's response, given the marginal distributions of various random parameters.",
       "inputFile": "qfem-0001/src/input.json"
     },
@@ -15,6 +15,11 @@
       "description": "This example illustrates how Python scripting can be used with quoFEM to express general mathematical models without the use of a dedicated finite element analysis engine.",
       "inputFile": "qfem-0005/src/input.json"
     },
+    {
+      "name": "Forward Propogattion - Multiple FEM Models",
+	"description": "This example illustrates how multiple finite element models could be used to estimate the first amd second central moments of a response given two different finite element models of the system.",
+      "inputFile": "qfem-0027/src/inputs_two_models.json"
+    },	
     {
       "name": "Deterministic Calibration",
       "description": "In this example, a **parameter estimation** routine is used to solve a classical optimization problem for which an analytic solution is known.",

diff --git a/Examples/qfem-0001/README.rst b/Examples/qfem-0001/README.rst
@@ -18,7 +18,7 @@ The structure has uncertain properties that all follow normal distribution:
 
 The goal of the exercise is to estimate the mean and standard deviation of the vertical displacement at node 3. The exercise requires two files. The user is required to download these files and place them in a **NEW** folder. The two files are: 
 
-.. dropdown:: 1. Main file: :qfem-0001:`TrussTemplate.tcl <src/TrussModel.tcl>`
+1. Main file: :qfem-0001:`TrussTemplate.tcl <src/TrussModel.tcl>`
 
    .. literalinclude:: ../qfem-0001/src/TrussModel.tcl
       :language: tcl
@@ -29,7 +29,7 @@ The goal of the exercise is to estimate the mean and standard deviation of the v
 
 The ``TrussPost.tcl`` script shown below will accept as input any of the 6 nodes in the domain and for each of the two dof directions.
 
-.. dropdown:: 2. Postprocessing file: :qfem-0001:`TrussPost.tcl <../qfem-0001/src/TrussPost.tcl>`. 
+2. Postprocessing file: :qfem-0001:`TrussPost.tcl <../qfem-0001/src/TrussPost.tcl>`. 
 
    .. literalinclude:: ../qfem-0001/src/TrussPost.tcl
       :language: tcl
@@ -39,7 +39,7 @@ The ``TrussPost.tcl`` script shown below will accept as input any of the 6 nodes
 
    The use has the option to provide no post-process script (in which case the main script must create a ``results.out`` file containing a single line with as many space separated numbers as QoI or the user may provide a Python script that also performs the postprocessing. Below is an example of a postprocessing Python script.
 
-   .. dropdown:: Alternative postprocessing file: :qfem-0001:`TrussPost.py <src/TrussPost.py>`
+   Alternative postprocessing file: :qfem-0001:`TrussPost.py <src/TrussPost.py>`
 
       .. literalinclude:: ../qfem-0001/src/TrussPost.py
          :language: python