修改收敛判据。

data.py

@@ -1,4 +1,4 @@
-loop_end = 100000  # 最大循环次数
+loop_end = 1000000  # 最大循环次数
 # 架线时的状态
 # 取外过无风
 string_length = 9.2  # 串长 单位m
@@ -11,8 +11,9 @@ area = 154.48  # 导线面积 mm2
 lambda_m = 14.8129 / area  # 导线比载 N/(m.mm)
 # 取400m代表档距下
 sigma_m = 28517 / area  # 架线时，初伸长未释放前的最低点水平应力。单位N/mm2
-span_count = 3  # 几个档距
+span_count = 4  # 几个档距
 # n个档距,n-1个直线塔
-h_array = [0, 0, 0]
-l_array = [200, 400, 600]
-t_array = [15, 15, 15]
+h_array = [0, 0, 0, 0]
+l_array = [200, 300, 1400, 500]
+t_array = [15, 15, 15, 15]
+epslon = 1e-3  # 收敛判据

main.py

@@ -66,7 +66,7 @@ def fun_sigma_i1(
     h_i1: float,
     l_i1: float,
     lambda_i1: float,
-):
+) -> float:
     beta_i = math.atan(h_i / l_i)
     beta_i1 = math.atan(h_i1 / l_i1)
     _sigma_i1 = (
@@ -100,12 +100,13 @@ def cal_loop():
     h_array = data.h_array
     l_array = data.l_array
     t_array = data.t_array
-    lambda_array = [lambda_m, lambda_m, lambda_m]
+    lambda_array = [lambda_m for j in range(span_count)]
     loop_count = 1
     sigma_0 = sigma_m * 0.8
     while True:
-        sigma_0 = sigma_0 + 0.001
-        sigma_array = [sigma_0, 0, 0]
+        # 一次增加0.1N
+        sigma_0 = sigma_0 + 0.1 / data.area
+        sigma_array = [sigma_0 for j in range(span_count)]
         b_i = 0
         delta_l_i_array = []
         for i in range(span_count - 1):
@@ -134,24 +135,28 @@ def cal_loop():
             h_i1 = h_array[i + 1]
             l_i1 = l_array[i + 1]
             lambda_i1 = lambda_array[i + 1]
-            sigma_i1 = fun_sigma_i1(
-                area,
-                sigma_i,
-                b_i,
-                length_i,
-                g_i,
-                h_i,
-                l_i,
-                lambda_i,
-                h_i1,
-                l_i1,
-                lambda_i1,
-            )
+            try:
+                sigma_i1 = fun_sigma_i1(
+                    area,
+                    sigma_i,
+                    b_i,
+                    length_i,
+                    g_i,
+                    h_i,
+                    l_i,
+                    lambda_i,
+                    h_i1,
+                    l_i1,
+                    lambda_i1,
+                )
+            except ValueError:
+                break
+                pass
             sigma_array[i + 1] = sigma_i1
         # print("第{loop_count}轮求解。".format(loop_count=loop_count))
         # print(b_i)
         loop_count += 1
-        if math.fabs(b_i) < 1e-5:
+        if math.fabs(b_i) < data.epslon:
             print("迭代{loop_count}次找到解。".format(loop_count=loop_count))
             print("悬垂串偏移累加bi为{b_i}".format(b_i=b_i))
             for i in range(span_count):
@@ -173,7 +178,7 @@ def cal_loop():
                 t_e,
                 lambda_m,
                 t_m,
-                sigma_m
+                sigma_m,
             )
             break
         if loop_count >= loop_end:
@@ -202,7 +207,7 @@ def verify(
     sigma_m,
 ):
     # 用新版大手册p329页(5-61)第一个公式校验
-    b_i=0
+    b_i = 0
     for i in range(len(delta_l_i_array)):
         sigma_i = sigma_array[i]
         sigma_i1 = sigma_array[i + 1]
@@ -230,7 +235,7 @@ def verify(
             sigma_m,
         )
         if math.fabs(cal_delta_l_i - _delta_l_i) > 1e-4:
-            print('!!!偏移等式不满足。')
+            print("!!!偏移等式不满足。")
         beta_i = math.atan(h_i / l_i)
         beta_i1 = math.atan(h_i1 / l_i1)
         w_i = (
@@ -238,10 +243,11 @@ def verify(
             + sigma_i * h_i / l_i
             + (lambda_i1 * l_i1 / 2 / math.cos(beta_i1) - sigma_i1 * h_i1 / l_i1)
         )
-        b_i+=delta_l_i_array[i]
-        right_equ = sigma_i + b_i / math.sqrt(
-            string_length ** 2 - b_i ** 2
-        ) * (string_g / 2 / area + w_i)
+        b_i += delta_l_i_array[i]
+        right_equ = sigma_i + b_i / math.sqrt(string_length ** 2 - b_i ** 2) * (
+            string_g / 2 / area + w_i
+        )
+        # TODO 等式允许误差是否可调？
         if math.fabs(right_equ - left_equ) > 1e-4:
             print(math.fabs(right_equ - left_equ))
             print("!!!应力等式不满足")