main.ipynb

{
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  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from TelopsToolbox.hcc.readIRCam import read_ircam\n",
    "import TelopsToolbox.utils.image_processing as ip\n",
    "import matplotlib.pyplot as plt\n",
    "import plotly.graph_objects as go\n",
    "from IR_calc import IR_calculation\n",
    "import pandas as pd\n",
    "from plotly.subplots import make_subplots\n",
    "import numpy as np\n",
    "from comparison import compare_all_exp\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "experiment_path = 'C:/Users/dflws/Desktop/test/BC_SR2/Exp #1/'\n",
    "IR_path = 'C:/Users/dflws/Desktop/test/IR_test/Specimen1_IR.hcc'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "exp_data = pd.read_csv(experiment_path+'Stress-Strain True.csv')\n",
    "exp_time = pd.read_csv(experiment_path+'Forces.csv')[' time [s]']\n",
    "sample_rate = 2e6"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "time = np.arange(0,(len(exp_data)-1)/sample_rate, 1/sample_rate)\n",
    "stress = np.array(exp_data[' Stress']) \n",
    "strain = np.array(exp_data['# Strain']) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "IR_calculation(IR_path, stress, strain, time)"
   ]
  },
  {
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   "execution_count": 6,
   "metadata": {},
   "outputs": [
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        },
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         "text": "Comparison Strain vs Temperature"
        },
        "width": 800,
        "xaxis": {
         "anchor": "y",
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          0,
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         "title": {
          "text": "Time, s"
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         "anchor": "x",
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          "text": "Strain"
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          "text": "Temperature"
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     },
     "metadata": {},
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   ],
   "source": [
    "fig1 = make_subplots(specs=[[{\"secondary_y\": True}]])\n",
    "fig1.update_layout(template = 'plotly_white', width=800, height=600,\n",
    "                  title = 'Comparison Strain vs Temperature')\n",
    "fig1.add_trace(go.Scatter(x = time, \n",
    "                            y = strain,\n",
    "                            name = 'True Strain'),\n",
    "                            secondary_y=False)\n",
    "fig1.add_trace(go.Scatter(x = time, \n",
    "                            y = stress,\n",
    "                            name = 'True Stress'),\n",
    "                            secondary_y=False)\n",
    "fig1.add_trace(go.Scatter(x = ir_time, \n",
    "                            y = temperature, \n",
    "                            name = 'Temperature'),\n",
    "                            secondary_y=True)\n",
    "\n",
    "fig1.update_xaxes(title_text=\"Time, s\")\n",
    "\n",
    "fig1.update_yaxes(title_text=\"Strain\", secondary_y=False)\n",
    "fig1.update_yaxes(title_text=\"Temperature\", secondary_y=True)\n",
    "\n",
    "fig1\n",
    "fig1.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
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            "gridcolor": "#DFE8F3",
            "linecolor": "#A2B1C6",
            "ticks": ""
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           "automargin": true,
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           "ticks": "",
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          "yaxis": {
           "automargin": true,
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           "title": {
            "standoff": 15
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           "zerolinecolor": "#EBF0F8",
           "zerolinewidth": 2
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        },
        "title": {
         "text": "True Strain vs Temperature, Material specimen Specimen"
        },
        "width": 800,
        "xaxis": {
         "anchor": "y",
         "domain": [
          0,
          0.94
         ],
         "title": {
          "text": "Strain"
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        },
        "yaxis": {
         "anchor": "x",
         "domain": [
          0,
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         "title": {
          "text": "Stress, MPa"
         }
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        "yaxis2": {
         "anchor": "x",
         "overlaying": "y",
         "side": "right",
         "title": {
          "text": "Temperature, C"
         }
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   "source": [
    "material = 'Material'\n",
    "specimen = 'Specimen'\n",
    "fig2 = make_subplots(specs=[[{\"secondary_y\": True}]])\n",
    "fig2.update_layout(template = 'plotly_white', width=800, height=600,\n",
    "                  title = f'True Strain vs Temperature, {material} specimen {specimen}')\n",
    "fig2.add_trace(go.Scatter(x = strain, \n",
    "                            y = stress,\n",
    "                            name = 'True Stress'),\n",
    "                            secondary_y=False)\n",
    "fig2.add_trace(go.Scatter(x = eq_strain, \n",
    "                            y = temperature, \n",
    "                            name = 'Temperature'),\n",
    "                            secondary_y=True)\n",
    "\n",
    "fig2.update_xaxes(title_text=\"Strain\")\n",
    "\n",
    "fig2.update_yaxes(title_text=\"Stress, MPa\", secondary_y=False)\n",
    "fig2.update_yaxes(title_text=\"Temperature, C\", secondary_y=True)\n",
    "\n",
    "fig2\n",
    "fig2.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "ename": "IndexError",
     "evalue": "list index out of range",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mIndexError\u001b[0m                                Traceback (most recent call last)",
      "Cell \u001b[1;32mIn [12], line 3\u001b[0m\n\u001b[0;32m      1\u001b[0m path \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mC:/Users/dflws/Desktop/test/BC_SR2/\u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[0;32m      2\u001b[0m \u001b[38;5;28mdir\u001b[39m \u001b[38;5;241m=\u001b[39m os\u001b[38;5;241m.\u001b[39mlistdir(path)\n\u001b[1;32m----> 3\u001b[0m exp \u001b[38;5;241m=\u001b[39m [item \u001b[38;5;28;01mfor\u001b[39;00m item \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mdir\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m#\u001b[39m\u001b[38;5;124m'\u001b[39m \u001b[38;5;129;01min\u001b[39;00m item\u001b[38;5;241m.\u001b[39msplit()[\u001b[38;5;241m1\u001b[39m]]\n",
      "Cell \u001b[1;32mIn [12], line 3\u001b[0m, in \u001b[0;36m<listcomp>\u001b[1;34m(.0)\u001b[0m\n\u001b[0;32m      1\u001b[0m path \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mC:/Users/dflws/Desktop/test/BC_SR2/\u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[0;32m      2\u001b[0m \u001b[38;5;28mdir\u001b[39m \u001b[38;5;241m=\u001b[39m os\u001b[38;5;241m.\u001b[39mlistdir(path)\n\u001b[1;32m----> 3\u001b[0m exp \u001b[38;5;241m=\u001b[39m [item \u001b[38;5;28;01mfor\u001b[39;00m item \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mdir\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m#\u001b[39m\u001b[38;5;124m'\u001b[39m \u001b[38;5;129;01min\u001b[39;00m \u001b[43mitem\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msplit\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m]\u001b[49m]\n",
      "\u001b[1;31mIndexError\u001b[0m: list index out of range"
     ]
    }
   ],
   "source": [
    "\n",
    "\n",
    "path = 'C:/Users/dflws/Desktop/test/BC_SR2/'\n",
    "dir = os.listdir(path)\n",
    "exp = [item for item in dir if '#' in item.split()[-1]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['all_exp_mech.html',\n",
       " 'Exp #1',\n",
       " 'Exp #2',\n",
       " 'Exp 1.html',\n",
       " 'Exp 2.html',\n",
       " 'Original WFT Files']"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dir"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "def add_data_to_report(data, title):\n",
    "    trace_mech = go.Scatter(x = data['# Strain'], y = data[' Stress'], name = f'{title} ')\n",
    "    return trace_mech"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'C:/Users/dflws/Desktop/test/BC_SR2//Exp #1/'"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "exp_path = path + '/' + exp[0] + '/'\n",
    "exp_path"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "exp_data = pd.read_csv(exp_path+'Stress-Strain True.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['# Strain', ' Stress'], dtype='object')"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "exp_data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "# def print_report(material):\n",
    "fig1 = go.Figure()\n",
    "fig1.update_layout(template = 'none', \n",
    "                    font=dict(size=16),\n",
    "                    title = f'Stress-Strain curves for {exp[0]}')\n",
    "fig1.update_xaxes(title = 'Strain')\n",
    "fig1.update_yaxes(title = 'Stress, [MPa]')\n",
    "result = []\n",
    "\n",
    "for item in exp:\n",
    "    exp_path = path + '/' + item + '/'\n",
    "    exp_data = pd.read_csv(exp_path+'Stress-Strain True.csv')\n",
    "    parameters = pd.read_csv(exp_path+'Parameters.txt', sep = ' ', header = None)\n",
    "    fig1.add_trace(add_data_to_report(exp_data, item))\n",
    "\n",
    "    result.append(pd.DataFrame({'specimen': item,\n",
    "                        'diameter[m]': parameters.iloc[0][2],\n",
    "                        'length[m]': parameters.iloc[1][2],\n",
    "                        'Ult_Stress': exp_data[' Stress'].max(),\n",
    "                        'Strain4Ult_Stress': exp_data['# Strain'][exp_data[' Stress'].idxmax()]}, index = [item[-1]]))\n",
    "fin_table = pd.concat(result)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
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       ],
       "layout": {
        "font": {
         "size": 16
        },
        "template": {
         "data": {
          "scatter": [
           {
            "type": "scatter"
           }
          ]
         }
        },
        "title": {
         "text": "Stress-Strain curves for Exp #1"
        },
        "xaxis": {
         "title": {
          "text": "Strain"
         }
        },
        "yaxis": {
         "title": {
          "text": "Stress, [MPa]"
         }
        }
       }
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig1.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
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       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>specimen</th>\n",
       "      <th>diameter[m]</th>\n",
       "      <th>length[m]</th>\n",
       "      <th>Ult_Stress</th>\n",
       "      <th>Strain4Ult_Stress</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Exp #1</td>\n",
       "      <td>0.0083</td>\n",
       "      <td>0.0082</td>\n",
       "      <td>175.870961</td>\n",
       "      <td>0.041559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Exp #2</td>\n",
       "      <td>0.0083</td>\n",
       "      <td>0.0082</td>\n",
       "      <td>129.266291</td>\n",
       "      <td>0.029545</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  specimen diameter[m] length[m]  Ult_Stress  Strain4Ult_Stress\n",
       "1   Exp #1      0.0083    0.0082  175.870961           0.041559\n",
       "2   Exp #2      0.0083    0.0082  129.266291           0.029545"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fin_table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.0295448856316594"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# exp_data[' Stress'].max()\n",
    "exp_data['# Strain'][exp_data[' Stress'].idxmax()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "result = pd.DataFrame({'specimen': exp[0],\n",
    "                        'diameter[m]': parameters.iloc[0][2],\n",
    "                        'length[m]': parameters.iloc[1][2],\n",
    "                        'Ult_Stress': exp_data[' Stress'].max(),\n",
    "                        'Strain4Ult_Stress': exp_data['# Strain'][exp_data[' Stress'].idxmax()]}, index = ['0'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>specimen</th>\n",
       "      <th>diameter[m]</th>\n",
       "      <th>length[m]</th>\n",
       "      <th>Ult_Stress</th>\n",
       "      <th>Strain4Ult_Stress</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Exp #1</td>\n",
       "      <td>0.0083</td>\n",
       "      <td>0.0082</td>\n",
       "      <td>129.266291</td>\n",
       "      <td>0.029545</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  specimen diameter[m] length[m]  Ult_Stress  Strain4Ult_Stress\n",
       "0   Exp #1      0.0083    0.0082  129.266291           0.029545"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig, table = compare_all_exp(path = 'C:/Users/dflws/Desktop/test/BC_SR2/')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Exp ', '1']"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "exp[0].split('#')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'1'"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dir = os.listdir(path)\n",
    "exp = [item for item in dir if '#' in item.split()[1]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os.system('pip3 list')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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