基于正余弦算法的瑞利波频散曲线反演
付宇, 艾寒冰, 姚振岸, 梅竹虚, 苏可嘉

Inversion of the Rayleigh wave dispersion curves based on the sine-cosine algorithm
FU Yu, AI Han-Bing, YAO Zhen-An, MEI Zhu-Xu, SU Ke-Jia
表2 模型A、B、C、D含噪声与不含噪声反演结果
Table 2 Inversion results of noise-free and noise-contaminated data with model A,B,C and D
模型 参数 真实值 不含噪声 含噪声
反演均值 相对误差/% 标准差 反演均值 相对误差/% 标准差
模型A vs1/(m·s-1) 200 199.54 0.23% 1.28 199.69 0.15% 2.71
vs2/(m·s-1) 350 347.90 0.60% 5.98 350.79 0.23% 9.07
H1/m 5 4.76 4.76% 0.18 4.75 5.00% 0.22
模型B vs1/(m·s-1) 200 200.94 0.47% 2.52 200.95 0.47% 3.82
vs2/(m·s-1) 300 300.75 0.25% 7.42 304.07 1.36% 15.60
vs3/(m·s-1) 400 399.19 0.20% 9.34 391.88 2.03% 25.47
vs4/(m·s-1) 500 500.19 0.04% 6.03 499.62 0.08% 6.80
H1/m 2 2.05 2.52% 0.11 2.02 0.83% 0.16
H2/m 4 3.99 0.24% 0.28 3.96 1.12% 0.18
H3/m 6 5.59 6.76% 0.53 5.61 6.54% 0.97
模型C vs1/(m·s-1) 200 197.78 1.11% 9.25 199.90 0.05% 14.71
vs2/(m·s-1) 160 161.15 0.72% 4.52 160.55 0.34% 5.35
vs3/(m·s-1) 300 286.04 4.65% 32.13 285.78 4.74% 22.89
vs4/(m·s-1) 400 397.61 0.60% 13.58 397.19 0.70% 18.96
H1/m 2 1.97 1.57% 0.17 1.91 4.51% 0.23
H2/m 4 3.86 3.58% 0.43 3.85 3.71% 0.30
H3/m 6 5.62 6.28% 1.09 5.51 8.16% 0.43
模型D vs1/(m·s-1) 150 150.58 0.39% 1.03 149.80 0.13% 2.92
vs2/(m·s-1) 250 252.30 0.92% 4.25 251.41 0.56% 7.38
vs3/(m·s-1) 200 199.81 0.09% 3.94 202.01 1.01% 4.41
vs4/(m·s-1) 400 400.90 0.23% 4.80 400.46 0.12% 6.36
H1/m 2 2.03 1.41% 0.07 2.03 1.36% 0.08
H2/m 4 3.93 1.78% 0.14 3.98 0.44% 0.24
H3/m 6 6.09 1.45% 0.23 5.99 0.14% 0.26