Temporary fix for load combinations

Author: Rebecca-Coding21

Examples/SteelDesign/SteelDesignExcel.py

@@ -24,6 +24,8 @@
 from RFEM.Imperfections.imperfectionCase import ImperfectionCase
 from RFEM.Imperfections.memberImperfection import MemberImperfection
 from RFEM.LoadCasesAndCombinations.loadCasesAndCombinations import LoadCasesAndCombinations
+from RFEM.LoadCasesAndCombinations.designSituation import DesignSituation
+from RFEM.LoadCasesAndCombinations.loadCombination import LoadCombination
 from RFEM.LoadCasesAndCombinations.loadCase import LoadCase
 from RFEM.LoadCasesAndCombinations.staticAnalysisSettings import StaticAnalysisSettings
 from RFEM.Loads.nodalLoad import NodalLoad
@@ -376,6 +378,9 @@ def main():
     LoadCase.StaticAnalysis(4, 'Wind-Load_x', True, 1, ActionCategoryType.ACTION_CATEGORY_WIND_QW, [False])
     LoadCase.StaticAnalysis(5, 'Wind-Load_y', True, 1, ActionCategoryType.ACTION_CATEGORY_WIND_QW, [False])
 
+    DesignSituation(1, DesignSituationType.DESIGN_SITUATION_TYPE_EQU_PERMANENT_AND_TRANSIENT)
+    LoadCombination(1, AnalysisType.ANALYSIS_TYPE_STATIC, 1, '', 1)
+
     # Creating Loads for LC2:Live Load
     n, k, l = 0, 0, 0
     for j in range(frame_number):
@@ -431,7 +436,7 @@ def main():
 
     # Calculation
     print("Calculation started...")
-    Model.clientModel.service.generate_load_cases_and_combinations()
+    #Model.clientModel.service.generate_load_cases_and_combinations()
     Calculate_all()
     print("Done!")
 
@@ -447,7 +452,7 @@ def main():
     nodeSupportForce_x, nodeSupportForce_y, nodeSupportForce_z, nodeMoment_x, nodeMoment_y, nodeMoment_z = [], [], [], [], [], []
 
     for j in range(nodes):
-        dispTab = ResultTables.NodesDeformations(CaseObjectType.E_OBJECT_TYPE_LOAD_COMBINATION, 7, j+1)
+        dispTab = ResultTables.NodesDeformations(CaseObjectType.E_OBJECT_TYPE_LOAD_COMBINATION, 1, j+1)
         nodisp_abs = GetMaxValue(dispTab, 'displacement_absolute') * 1000
         nodisp_x = GetMaxValue(dispTab, 'displacement_x') * 1000
         nodisp_y = GetMaxValue(dispTab, 'displacement_y') * 1000
@@ -467,7 +472,7 @@ def main():
         nodeType = '-'
         if (j+1) in nodes_no:
             nodeType = 'Hinged'
-            supportForceTab = ResultTables.NodesSupportForces(CaseObjectType.E_OBJECT_TYPE_LOAD_COMBINATION, 7, j+1)
+            supportForceTab = ResultTables.NodesSupportForces(CaseObjectType.E_OBJECT_TYPE_LOAD_COMBINATION, 1, j+1)
             nodesupforce_x = GetMaxValue(supportForceTab, 'support_force_p_x')
             nodesupforce_y = GetMaxValue(supportForceTab, 'support_force_p_y')
             nodesupforce_z = GetMaxValue(supportForceTab, 'support_force_p_z')
@@ -508,7 +513,7 @@ def main():
 
     k = 1
     for j in range(beam_column):
-        dispTable = ResultTables.MembersLocalDeformations(CaseObjectType.E_OBJECT_TYPE_LOAD_COMBINATION, 7, object_no=k)
+        dispTable = ResultTables.MembersLocalDeformations(CaseObjectType.E_OBJECT_TYPE_LOAD_COMBINATION, 1, object_no=k)
         maxDisp_abs = GetMaxValue(dispTable, 'displacement_absolute') * 1000
         maxDisp_x = GetMaxValue(dispTable, 'displacement_x') * 1000
         maxDisp_y = GetMaxValue(dispTable, 'displacement_y') * 1000
@@ -518,7 +523,7 @@ def main():
         maxDisplacement_y.append(round(maxDisp_y, 3))
         maxDisplacement_z.append(round(maxDisp_z, 3))
 
-        momentTable = ResultTables.MembersInternalForces(CaseObjectType.E_OBJECT_TYPE_LOAD_COMBINATION, 7, object_no=k)
+        momentTable = ResultTables.MembersInternalForces(CaseObjectType.E_OBJECT_TYPE_LOAD_COMBINATION, 1, object_no=k)
 
         if abs(GetMaxValue(momentTable, 'internal_force_n')) > abs(GetMinValue(momentTable, 'internal_force_n')):
             maxFor_n = GetMaxValue(momentTable, 'internal_force_n') / 1000
@@ -584,7 +589,7 @@ def main():
     maxMoment_my = np.array([maxMoment_my]).T
     maxMoment_mz = np.array([maxMoment_mz]).T
 
-    summary = ResultTables.Summary(CaseObjectType.E_OBJECT_TYPE_LOAD_COMBINATION, 7)
+    summary = ResultTables.Summary(CaseObjectType.E_OBJECT_TYPE_LOAD_COMBINATION, 1)
     df = pd.DataFrame(summary)
     new_df = df.loc[:,['description', 'value', 'units', 'notes']]