DISISMEC.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3.0200000005152107e-05 Fuerza Cortante[kN]\n",
      "0.0004882837998270988 Momento flector [kN*m]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import math as mt\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import scipy.interpolate as lp\n",
    "\n",
    "def pos(x,l):\n",
    "    if x-l<0:\n",
    "        return 0\n",
    "    else:\n",
    "        return 1\n",
    "def posM(x,l):\n",
    "    if x-l<0:\n",
    "        return 0\n",
    "    else:\n",
    "        return x-l\n",
    "def Fcortante(x2):\n",
    "    return (-245.17*pos(x2,32.5)-24916.257*pos(x2,294.5)+65773.2*pos(x2,485.5)-55527.804*pos(x2,679.5)-892.41*pos(x2,825)+21839.5612*pos(x2,973.5)-4707.19*pos(x2,1186.75)-1323.9*pos(x2,1355))/1000\n",
    "def Mflector(x4):\n",
    "    return (-245.17*posM(x4,32.5)-24916.257*posM(x4,294.5)+65773.2*posM(x4,485.5)-55527.804*posM(x4,679.5)-892.41*posM(x4,825)+21839.5612*posM(x4,973.5)-4707.19*posM(x4,1186.75)-1323.9*posM(x4,1355))/1000000\n",
    "\n",
    "x =  np.arange(0,1425.05,0.05)\n",
    "Fc = np.zeros(len(x))\n",
    "M = np.zeros(len(x))\n",
    "\n",
    "\n",
    "#Fuerza cortante\n",
    "for x1 in range(0,len(x),1):\n",
    "    x2 = x[x1]\n",
    "    Fc[x1] = (-245.17*pos(x2,32.5)-24916.257*pos(x2,294.5)+65773.2*pos(x2,485.5)-55527.804*pos(x2,679.5)-892.41*pos(x2,825)+21839.5612*pos(x2,973.5)-4707.19*pos(x2,1186.75)-1323.9*pos(x2,1355))/1000\n",
    "\n",
    "#Momento flector\n",
    "for x3 in range(0,len(x),1):\n",
    "    x4 = x[x3]\n",
    "    M[x3] = (-245.17*posM(x4,32.5)-24916.257*posM(x4,294.5)+65773.2*posM(x4,485.5)-55527.804*posM(x4,679.5)-892.41*posM(x4,825)+21839.5612*posM(x4,973.5)-4707.19*posM(x4,1186.75)-1323.9*posM(x4,1355))/1000000\n",
    "\n",
    "    \n",
    "plt.figure()\n",
    "plt.plot(x,Fc)\n",
    "plt.figure()\n",
    "plt.plot(x,M)\n",
    "print(Fcortante(len(x)-1),\"Fuerza Cortante[kN]\")\n",
    "print(Mflector(len(x)-1),\"Momento flector [kN*m]\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4.000000002270099e-05 Fuerza Cortante[kN]\n",
      "0.0010893900008201599 Momento flector [kN*m]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "##\n",
    "#Plano YX\n",
    "##\n",
    "import math as mt\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import scipy.interpolate as lp\n",
    "\n",
    "def pos(x,l):\n",
    "    if x-l<0:\n",
    "        return 0\n",
    "    else:\n",
    "        return 1\n",
    "def posM(x,l):\n",
    "    if x-l<0:\n",
    "        return 0\n",
    "    else:\n",
    "        return x-l\n",
    "def Fcortante(x2):\n",
    "    return (9806.65*pos(x2,32.5)-5603.6*pos(x2,294.5)+11601.27*pos(x2,485.5)-178873.6*pos(x2,679.5)+279489.52*pos(x2,825)-116420.2*pos(x2,973.5))/1000\n",
    "def Mflector(x4):\n",
    "    return (9806.65*posM(x4,32.5)-5603.6*posM(x4,294.5)+11601.27*posM(x4,485.5)-178873.6*posM(x4,679.5)+279489.52*posM(x4,825)-116420.2*posM(x4,973.5))/1000000\n",
    "\n",
    "x =  np.arange(0,1425.05,0.05)\n",
    "Fc = np.zeros(len(x))\n",
    "M = np.zeros(len(x))\n",
    "\n",
    "\n",
    "#Fuerza cortante\n",
    "for x1 in range(0,len(x),1):\n",
    "    x2 = x[x1]\n",
    "    Fc[x1] = (9806.65*pos(x2,32.5)-5603.6*pos(x2,294.5)+11601.27*pos(x2,485.5)-178873.6*pos(x2,679.5)+279489.52*pos(x2,825)-116420.2*pos(x2,973.5))/1000\n",
    "\n",
    "#Momento flector\n",
    "for x3 in range(0,len(x),1):\n",
    "    x4 = x[x3]\n",
    "    M[x3] = (9806.65*posM(x4,32.5)-5603.6*posM(x4,294.5)+11601.27*posM(x4,485.5)-178873.6*posM(x4,679.5)+279489.52*posM(x4,825)-116420.2*posM(x4,973.5))/1000000\n",
    "\n",
    "    \n",
    "plt.figure()\n",
    "plt.plot(x,Fc)\n",
    "plt.figure()\n",
    "plt.plot(x,M)\n",
    "print(Fcortante(len(x)-1),\"Fuerza Cortante[kN]\")\n",
    "print(Mflector(len(x)-1),\"Momento flector [kN*m]\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}