salida adaptada a .mdb

curva.mdb

@@ -0,0 +1,72 @@
+[PLACOND]
+Type=Fixed_Solid
+Solid Type=Steel
+Thermal Conductivity=28
+Specific Heat=460
+Density=7800
+Notes=
+ElectricalResistivity=5.2E-7
+TempCoefElectricalResistivity=0
+PoissonsRatio=0
+YoungsCoefficient=0
+YieldStress=0
+BValue[0]=1.0
+HValue[0]=0
+BValue[1]=1.001256637061436
+HValue[1]=1000
+BValue[2]=1.002513274122872
+HValue[2]=2000
+BValue[3]=1.0037699111843077
+HValue[3]=3000
+BValue[4]=1.0050265482457437
+HValue[4]=4000
+BValue[5]=1.0062831853071796
+HValue[5]=5000
+BValue[6]=1.0075398223686156
+HValue[6]=6000
+BValue[7]=1.0087964594300514
+HValue[7]=7000
+BValue[8]=1.0100530964914873
+HValue[8]=8000
+BValue[9]=1.0113097335529233
+HValue[9]=9000
+BValue[10]=1.0125663706143593
+HValue[10]=10000
+BValue[11]=1.013823007675795
+HValue[11]=11000
+BValue[12]=1.015079644737231
+HValue[12]=12000
+BValue[13]=1.016336281798667
+HValue[13]=13000
+BValue[14]=1.017592918860103
+HValue[14]=14000
+BValue[15]=1.0188495559215387
+HValue[15]=15000
+BValue[16]=1.0201061929829747
+HValue[16]=16000
+BValue[17]=1.0213628300444106
+HValue[17]=17000
+BValue[18]=1.0226194671058466
+HValue[18]=18000
+BValue[19]=1.0238761041672824
+HValue[19]=19000
+BValue[20]=1.0251327412287183
+HValue[20]=20000
+BValue[21]=1.0263893782901543
+HValue[21]=21000
+BValue[22]=1.0276460153515903
+HValue[22]=22000
+BValue[23]=1.028902652413026
+HValue[23]=23000
+BValue[24]=1.030159289474462
+HValue[24]=24000
+BValue[25]=1.031415926535898
+HValue[25]=25000
+BValue[26]=1.032672563597334
+HValue[26]=26000
+BValue[27]=1.0339292006587697
+HValue[27]=27000
+BValue[28]=1.0351858377202057
+HValue[28]=28000
+BValue[29]=1.0364424747816416
+HValue[29]=29000

genCurvas.py

@@ -12,20 +12,30 @@ def valores_objetivo(archivo, material):
     return E, I, f
 
 
-def generar_curva(offset):
+def generar_curva(offset, ruta):
+
     muVacio = 4 * np.pi * 1e-7
+    h = np.arange(0,30000,1000)
+    b = muVacio * h + offset
 
-    hPos = np.arange(1,5001,1)
+    with open(ruta, "w") as f:
-    hNeg = np.arange(-5000,0,1)
+        f.write('[PLACOND]\n')
+        f.write('Type=Fixed_Solid\n')
+        f.write('Solid Type=Steel\n')
+        f.write('Thermal Conductivity=28\n')
+        f.write('Specific Heat=460\n')
+        f.write('Density=7800\n')
+        f.write('Notes=\n')
+        f.write('ElectricalResistivity=5.2E-7\n')
+        f.write('TempCoefElectricalResistivity=0\n')
+        f.write('PoissonsRatio=0\n')
+        f.write('YoungsCoefficient=0\n')
+        f.write('YieldStress=0\n')
 
-    bPos = muVacio*hPos + offset
+        for i in np.arange(len(h)):
-    bNeg = muVacio*hNeg - offset
+            f.write(f'BValue[{i}]={b[i]}\n')
+            f.write(f'HValue[{i}]={h[i]}\n')
 
-    h = np.concatenate((hNeg, hPos))
-    b = np.concatenate((bNeg, bPos))
-
-    datos = np.column_stack((h,b))
-    np.savetxt('curva.csv', datos, delimiter=',')
 
 
 def logica_offset(offset, error, errorObjetivo):
@@ -55,5 +65,11 @@ def logica_offset(offset, error, errorObjetivo):
 
 
 
+if __name__ == '__main__':
+    directorio = ''
+    nombre = "curva.mdb"
 
+    ruta = f'{directorio}{nombre}'
+
+    generar_curva(1,ruta)