何颖, 梁建文, 林永星. 2014: 地下夹塞断面形状随机性对平面SH波散射的影响. 地震学报, 36(4): 584-594. DOI: 10.3969/j.issn.0253-3782.2014.04.005
引用本文: 何颖, 梁建文, 林永星. 2014: 地下夹塞断面形状随机性对平面SH波散射的影响. 地震学报, 36(4): 584-594. DOI: 10.3969/j.issn.0253-3782.2014.04.005
He Ying, Liang Jianwen, Lin Yongxing. 2014: Effect of cross-section-shape randomness of underground inclusion on scattering of plane SH waves. Acta Seismologica Sinica, 36(4): 584-594. DOI: 10.3969/j.issn.0253-3782.2014.04.005
Citation: He Ying, Liang Jianwen, Lin Yongxing. 2014: Effect of cross-section-shape randomness of underground inclusion on scattering of plane SH waves. Acta Seismologica Sinica, 36(4): 584-594. DOI: 10.3969/j.issn.0253-3782.2014.04.005

地下夹塞断面形状随机性对平面SH波散射的影响

Effect of cross-section-shape randomness of underground inclusion on scattering of plane SH waves

  • 摘要: 采用波函数展开法及边界离散的方法给出了任意断面形状的地下夹塞对平面SH波散射的半解析解; 利用蒙特卡罗方法随机模拟产生了30组夹塞断面样本, 通过对该样本在平面SH波入射下地表位移幅值的统计分析, 研究了夹塞断面形状随机性对平面SH波散射的影响. 结果表明, 夹塞断面形状随机性对平面SH波的散射具有重要影响. 以圆形夹塞为例, 当断面半径的变异系数为0.1时, 地表位移响应幅值变异系数可达0.71. 随着入射频率的升高, 变异系数逐渐增大; 随着夹塞刚度的降低, 变异系数逐渐增大; 随着夹塞埋深的增加, 变异系数逐渐减小.

     

    Abstract: The semi-analytical solution of scattering of plane SH waves by underground inclusion with arbitrary cross-section in half-space is presented using wave functions expansion method combined with boundary discrete method. Monte Carlo method is used to randomly generate 30 samples for cross-section shape of the inclusion, and the effect of cross-section-shape randomness on scattering of plane SH waves are studied by statistical analysis of the surface displacement amplitudes. It is shown that, cross-section-shape randomness has significant effect on the scattering of SH waves around an inclusion in half-space. When the variation coefficient of inclusion radius is equal to 0.1, for an inclusion of circular shape, the variation coefficient of surface displacement amplitude may be up to 0.71. The variation coefficient increases as the incident frequency increases. The variation coefficient increases as the inclusion rigidity decreases. The variation coefficient decreases as the inclusion depth increases.

     

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