首页> 外文会议>Geophysical Solutions for Environment and Engineering vol.1 >Occam's inversion of high-frequency Rayleigh wave dispersion curves for shallow engineering applications
【24h】

Occam's inversion of high-frequency Rayleigh wave dispersion curves for shallow engineering applications

机译:Occam为浅层工程应用反转高频瑞利波频散曲线

获取原文
获取原文并翻译 | 示例

摘要

The shear-wave (S-wave) velocity in the shallow subsurface (soil, rock, roadbed) is an important parameter in environmental and engineering studies and applications. A 2-D S-wave velocity profile with a low velocity layer (LVL) is estimated from dispersion analysis of surface waves data, whose maximum depth of investigation is around 16 m. The measured field dispersion curves are automatically inverted using an iterative weighted solution technique named Occam's algorithm that proved very effective in high-frequency range for S-wave velocity profiles and uncertainty of inversion results are estimated. Convergence of inverse procedure is guaranteed through appropriate selection of the smoothing parameter in the Lagrange multipliers method. We compare Occam's inversion algorithm with the Levenberg-Marquardt (L-M) and singular value decomposition (SVD) technique. Results demonstrate that S-velocity profiles inverted by Occam's algorithm agree well with practical geological structure and SVD inversion results. Maximum uncertainty of Occam's inversion is 7.4%, and maximum difference with SVD inversion is 8.2% in our case study.
机译:浅地下(土壤,岩石,路基)中的剪切波(S波)速度是环境和工程研究与应用中的重要参数。根据表面波数据的色散分析,可以估算出具有低速层(LVL)的二维S波速度剖面,其最大调查深度约为16 m。使用称为Occam算法的迭代加权求解技术自动倒置测得的场弥散曲线,该技术在高频范围内被证明对S波速度剖面非常有效,并且可以估计反演结果的不确定性。通过在Lagrange乘数方法中适当选择平滑参数,可以确保逆过程的收敛。我们将Occam的反演算法与Levenberg-Marquardt(L-M)和奇异值分解(SVD)技术进行了比较。结果表明,Occam算法反演的S速度剖面与实际地质构造和SVD反演结果吻合良好。在我们的案例研究中,Occam反演的最大不确定度为7.4%,而SVD反演的最大差异为8.2%。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号