BUWFZJ: Added Initial Plotting Scripts for Parallel Panel Simulation

.github/workflows/Fire_Growth.yml

@@ -90,6 +90,25 @@ jobs:
 
       # ADD YOUR INSTITUTION BELOW, COPY STEPS 1 AND 2, CHANGE INSTITUTE NAME (AFTER 2023 AND WITHIN ZIP FILENAME)
 
+      # Step 1: generate the plots
+      - name: BUWFZJ Results
+        run: |
+          echo $GITHUB_WORKSPACE
+          cd $GITHUB_WORKSPACE/Fire_Growth/NIST_Parallel_Panel/Computational_Results/2023/BUWFZJ
+          python NIST_Parallel_Panel_plot_BUWFZJ_cmp.py
+          python plot_burner_heat_flux_centerline.py
+
+      # Step 2: push the plots to the releases page
+      - name: Push BUWFZJ Results to release
+        if: ( github.event_name == 'push' || github.event_name == 'workflow_dispatch' ) && github.repository_owner == 'MaCFP'
+        run: |
+          cd $GITHUB_WORKSPACE/Fire_Growth/NIST_Parallel_Panel/Computational_Results/2023/BUWFZJ/Output
+          zip Plots.zip -r Plots
+          mv Plots.zip NIST_Parallel_Panel_BUWFZJ_Plots.zip
+          gh release upload SCRIPT_FIGURES NIST_Parallel_Panel_BUWFZJ_Plots.zip --clobber
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+
 # When submitting computational results, add your script to the list below (follow the example)
 
       # Step 1: generate the plots
@@ -128,4 +147,4 @@ jobs:
           mv Plots.zip UMD_SBI_FSRI-UMD_Plots.zip
           gh release upload SCRIPT_FIGURES UMD_SBI_FSRI-UMD_Plots.zip --clobber
         env:
-          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

Fire_Growth/NIST_Parallel_Panel/Computational_Results/2023/BUWFZJ/NIST_Parallel_Panel_BUWFZJ_cmp_config.csv

@@ -0,0 +1,2 @@
+Exp_Filename                                               ,Exp_Header_Row,Exp_Data_Row,Exp_x_Col_Name,Exp_y_Col_Name,Exp_Data_Label           ,Exp_Marker_Style,Cmp_Filename                                      ,Cmp_Header_Row,Cmp_Data_Row,Cmp_x_Col_Name,Cmp_y_Col_Name,Cmp_Data_Label,Cmp_Marker_Style,Cmp_Line_Style,Plot_Title                                  ,Plot_x_Label,Plot_y_Label         ,Plot_x_Min,Plot_x_Max,Plot_y_Min,Plot_y_Max,Plot_Legend_Location,Plot_Filename
+PMMA_HRR_qrad_R6.csv           ,1,3,Time,HRR,Exp        ,o               ,PP_C5_01_cat_hrr.csv     ,2,3,Time,HRR,Sim (2.0 cm),                ,-            ,NIST Parallel Panels                  ,Time (s),Heat Release Rate (kW),0,900,0,4000,upper right         ,NIST_Parallel_Panel_HRR_BUWFZJ.pdf

Fire_Growth/NIST_Parallel_Panel/Computational_Results/2023/BUWFZJ/NIST_Parallel_Panel_plot_BUWFZJ_cmp.py

@@ -0,0 +1,23 @@
+#!/usr/bin/python3
+# T. Hehnen
+# 24 August 2023
+
+import sys
+sys.path.append('../../../../../../macfp-db/Utilities/')
+
+import macfp
+import importlib
+importlib.reload(macfp) # use for development (while making changes to macfp.py)
+import matplotlib.pyplot as plt
+
+macfp.dataplot(config_filename='NIST_Parallel_Panel_BUWFZJ_cmp_config.csv',
+               institute='BUW-FZJ',
+               revision='MaCFP-3, Tsukuba, 2023',
+               expdir='../../../Experimental_Data/',
+               cmpdir='./Output/',
+               pltdir='./Output/Plots/',
+               close_figs=True,
+               verbose=True,
+               plot_list=['all'])
+
+# plt.show()

Fire_Growth/NIST_Parallel_Panel/Computational_Results/2023/BUWFZJ/plot_burner_heat_flux_centerline.py

@@ -0,0 +1,175 @@
+#!/usr/bin/python3
+# T. Hehnen
+# 24 August 2023
+
+import sys
+sys.path.append('../../../../../../macfp-db/Utilities/')
+
+import os
+import macfp
+import importlib
+importlib.reload(macfp) # use for development (while making changes to macfp.py)
+import matplotlib.pyplot as plt
+import numpy as np
+import pandas as pd
+
+plt.close('all')
+
+
+# Define general information.
+# ------------------------------
+# Basic information about cases.
+burner_sim_info = {
+    "MaCFP_Burner_04": {
+        "FluidCells": "2.0 cm",
+        "fps": 2},
+    "MaCFP_Burner_08": {
+        "FluidCells": "1.0 cm",
+        "fps": 2},
+    "MaCFP_Burner_09": {
+        "FluidCells": "0.5 cm",
+        "fps": 2},
+#     "MaCFP_Burner_10": {
+#         "FluidCells": "0.5 cm",
+#         "fps": 2}
+}
+
+# Initialise simulation data collection.
+burner_sims = dict()
+sim_dir = os.path.join("Output")
+
+
+# Device heights, in cm.
+heights = [20, 50, 75, 100]
+# Interesting times, in s.
+desired_times = [20, 40, 60, 80]
+
+# Define headers for experiment data extraction.
+hf_labels = ["HF_z20", "HF_z50", "HF_z75", "HF_z100"]
+u_hf_labels = ["u_exp_HF_z20", "u_exp_HF_z50", "u_exp_HF_z75", "u_exp_HF_z100"]
+# Define headers for simulation data extraction.
+devc_labels = ["HF_y0_z20", "HF_y0_z50", "HF_y0_z75", "HF_y0_z100"]
+
+# Define plot elements.
+colors = ['green', 'red', 'purple', 'brown']
+line_styles = ['-', '--', '-.', ':']
+
+
+# Read experiment data.
+# ------------------------------
+# Read centre line heat flux to empty panel, from experiment.
+centreline_hf_path = os.path.join("..", "..", "..", "Experimental_Data",
+                                  "Burner_HF_Centerline_multi-layer.csv")
+# First row as header and row with units skipped.
+centreline_hf_df = pd.read_csv(centreline_hf_path, header=0, skiprows=[1])
+
+
+# Read simulation data.
+# ------------------------------
+# Collect simulation responses.
+for sim_label in burner_sim_info:
+    # Add dictionary per simulation setup.
+    if sim_label not in list(burner_sims):
+        # Prevent overwriting existing data ('CHID_hrr' and 'CHID_devc').
+        burner_sims[sim_label] = dict()
+
+    # Read 'CHID_devc.csv'-file as Pandas DataFrame.
+    devc_path = os.path.join(sim_dir, f"{sim_label}_devc.csv")
+    devc_df = pd.read_csv(devc_path, sep=',', header=1)
+    burner_sims[sim_label]["DEVC"] = devc_df
+
+    # Simulation response.
+    sim_fluxes = list()
+    for time_id, desired_time in enumerate(desired_times):
+        flux_avrgs = list()
+        # Define time window to average over.
+        base_frame = desired_time * burner_sim_info[sim_label]["fps"]
+        frame_window = 3
+
+        # Go over desired DEVC labels.
+        for devc_label in devc_labels:
+            # Get CHID_devc data.
+            devc_data = burner_sims[sim_label]["DEVC"]
+
+            # Find time window over which to average.
+            t_min = int(base_frame - frame_window)
+            t_max = int(base_frame + frame_window + 1)
+            # Compute average within the above window.
+            flux_avrg = np.average(devc_data[devc_label][t_min:t_max].to_numpy())
+            flux_avrgs.append(flux_avrg)
+
+        # Collect fluxes per time step.
+        sim_fluxes.append(flux_avrgs)
+
+    # Collect fluxes per sim setup.
+    burner_sims[sim_label]["Fluxes"] = sim_fluxes
+
+
+# Create empty figure?
+f = macfp.plot_to_fig(x_data=[0,1], y_data=[0,1], marker_style='None',line_style='None')
+
+
+# Plot experiment data points per time step.
+for time_id, time_step in enumerate(centreline_hf_df["Time"]):
+    # Get centre line heat flux per time step.
+    hf_centre = centreline_hf_df.iloc[time_id][hf_labels].to_numpy()
+    # Get related uncertainty.
+    hf_u_centre = centreline_hf_df.iloc[time_id][u_hf_labels].to_numpy()
+
+    # Define data series label.
+    ds_label = f"Exp ({time_step} s)"
+
+    # Plot experiment data points per time step.
+    f = macfp.plot_to_fig(x_data=hf_centre,
+                          y_data=heights,
+                          data_label=ds_label,
+                          x_min=0,x_max=80,
+                          y_min=0,y_max=180,
+                          x_label='Heat Flux [kW/m²]',
+                          y_label='Height [cm]',
+                          marker_style='o',
+                          marker_edge_color=colors[time_id],
+                          marker_fill_color=colors[time_id],
+                          line_style=' ',
+                          show_legend=True,
+                          figure_right_adjust=0,
+                          legend_fontsize=10,
+                          figure_handle=f)
+
+    # Draw error bars from reported experiment uncertainty, per time step.
+    plt.errorbar(hf_centre, heights,
+                 xerr=hf_u_centre,
+                 capsize=4, fmt=' ',
+                 ecolor=colors[time_id])
+
+
+# Plot simulation data points per time step.
+for sim_id, sim_label in enumerate(list(burner_sims)):
+    # Get fluid cell size for setup.
+    cell_size = burner_sim_info[sim_label]["FluidCells"]
+
+#     burner_sims[sim_label]['Fluxes']
+    for time_id, time_step in enumerate(centreline_hf_df["Time"]):
+        # Define data series label.
+        ds_label = f"Sim ({time_step} s, {cell_size})"
+        f = macfp.plot_to_fig(x_data=burner_sims[sim_label]['Fluxes'][time_id],
+                              y_data=heights,
+                              data_label=ds_label,
+                              x_min=0,x_max=80,
+                              y_min=0,y_max=180,
+                              x_label='Heat Flux [kW/m²]',
+                              y_label='Height [cm]',
+                              line_color=colors[time_id],
+                              line_style=line_styles[sim_id],
+                              show_legend=True,
+                              figure_right_adjust=0,
+                              legend_fontsize=10,
+                              figure_handle=f)
+
+
+# fig.tight_layout(pad=1.0, h_pad=0.0, w_pad=0.0, rect=[0.05, 0.05, 0.90, 0.95])
+
+plot_dir = os.path.join(sim_dir, "Plots", "Burner_heatflux.pdf")
+plt.savefig(plot_dir)
+
+# plt.show()