Merge pull request #63 from su2code/develop

Develop

Author: pcarruscag

_layouts/docs_v7.html

@@ -12,7 +12,7 @@
             <h1>{{ page.title }}</h1>
             <div id="markdown-content-container">{{ content }}</div>
             <hr>
-            {% unless true %}
+            {% unless page.disable_comments %}
             <script>
 
             /**

_layouts/tutorials.html

@@ -108,7 +108,7 @@ <h1>{{ page.title }}</h1>
 
             <div id="markdown-content-container">{{ content }}</div>
             <hr>
-            {% unless true %}
+            {% unless page.disable_comments %}
             <script>
 
             /**

_layouts/vandv.html

@@ -12,7 +12,7 @@
             <h1>{{ page.title }}</h1>
             <div id="markdown-content-container">{{ content }}</div>
             <hr>
-            {% unless true %}
+            {% unless page.disable_comments %}
             <script>
 
             /**

_tutorials/design_features/Multi_Objective_Shape_Design/Multi_Objective_Shape_Design.md

@@ -19,7 +19,7 @@ Upon completing this tutorial, the user will be familiar with setting up and run
 - Constraints as penalty functions
 - Combining objectives in the adjoint evaluation of the gradient to reduce computational cost.
 
-The intent of this tutorial is to introduce multi-objective, single-point optimization and explain how this can be implemented using SU2. This tutorial uses the same geometry and flow conditions as described in the inviscid supersonc wedge tutorial.
+The intent of this tutorial is to introduce multi-objective, single-point optimization and explain how this can be implemented using SU2. This tutorial uses the same geometry and flow conditions as described in the inviscid supersonic wedge tutorial.
 
 
 The capabilities of combining multiple objectives and incorporating penalty functions into the adjoint formulation in SU2 are discussed further in section 3.4 of [this work](https://purl.stanford.edu/mm280hp6972). 

_tutorials/multiphysics/Unsteady_FSI_Python/Dynamic_FSI_Python.md

@@ -267,8 +267,12 @@ The most important interface configuration keywords are:
 
 * __CFD_CONFIG_FILE_NAME__ (string): Path to the fluid cfg file
 
-* __CSD_SOLVER__ (string): Behaviour of the structural solver to be used. AEROELASTIC if the structural equation of motions must be solved, IMPOSED if a movement of the structure is imposed
-                     
+* __CSD_SOLVER__ (string): Structural solver to be used. As of now, only the native modal solver is used, activated with the keyword NATIVE. However, other solvers can easily be added
+     
+* __IMPOSED_MOTION__ (string): YES or NO. Specifies wether the structural solver will integrate the structural equations or just impose a specific movement. In the latter case, forces are not mapped onto the structure, as it would not be required.
+
+* __MAPPING_MODES__ (string): YES or NO. Special feature that can only be used with the native solver. Used to extract the mapped modes onto the aerodynamic mesh.
+ 
 * __CSD_CONFIG_FILE_NAME__ (string): Path to the solid cfg file
 
 * __RESTART_SOL__ (string): YES or NO
@@ -403,7 +407,7 @@ $$^1$$ Sanchez, R. (2018), A coupled adjoint method for optimal design in fluid-
 
 ### Attribution
 
-Coming soon...
+Fonzi, N., Cavalieri, V., De Gaspari, A., & Ricci, S. (2021). Advances of the Python-based Fluid-Structure Interaction capabilities included in SU2. arXiv preprint arXiv:2109.12332.
 
 <dl>
 This work is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</a>