Added function to add turbulence to wind field

WISDEM · Jan 16, 2025 · 504bf98 · 504bf98
2 parents 9c6e478 + 7d095ca
commit 504bf98
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Showing 2 changed files with 5 additions and 2 deletions.
diff --git a/weis/aeroelasticse/IEC_CoeherentGusts.py b/weis/aeroelasticse/IEC_CoeherentGusts.py
@@ -300,6 +300,7 @@ def write_wnd(self, fname, data, hd):
             fid.write('  '+''.join([('%.6f' % val).center(12) for val in row]) + '\n')
 
         fid.close()
+<<<<<<< HEAD
 
     def add_turbulence(filename, u, v = None, w = None, time = None, ref_height = None, new_filename = None):
         """
@@ -365,3 +366,5 @@ def add_turbulence(filename, u, v = None, w = None, time = None, ref_height = No
             ts_new.write(new_filename)
         else: 
             return ts_new
+=======
+>>>>>>> 7d095caec5db66217229c1996dfe2498965a15ed
diff --git a/weis/aeroelasticse/openmdao_openfast.py b/weis/aeroelasticse/openmdao_openfast.py
@@ -733,7 +733,7 @@ def compute(self, inputs, outputs, discrete_inputs, discrete_outputs):
                     # TODO: pull chan_time out of here
 
             # Post process regardless of level
-            self.post_process(summary_stats, extreme_table, DELs, Damage, case_list, dlc_generator, chan_time, inputs, discrete_inputs, outputs, discrete_outputs)
+            self.post_process(summary_stats, extreme_table, DELs, Damage, case_list, case_name, dlc_generator, chan_time, inputs, discrete_inputs, outputs, discrete_outputs)
 
             # Save AEP value to linear pickle file
             if modopt['Level2']['flag']:
@@ -2200,7 +2200,7 @@ def run_FAST(self, inputs, discrete_inputs, fst_vt):
 
         return summary_stats, extreme_table, DELs, Damage, case_list, case_name, chan_time, dlc_generator
 
-    def post_process(self, summary_stats, extreme_table, DELs, damage, case_list, dlc_generator, chan_time, inputs, discrete_inputs, outputs, discrete_outputs):
+    def post_process(self, summary_stats, extreme_table, DELs, damage, case_list, case_name, dlc_generator, chan_time, inputs, discrete_inputs, outputs, discrete_outputs):
         modopt = self.options['modeling_options']
 
         # Analysis