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Site characterization using Gauss-Newton inversion of 2-D full seismic waveform in the time domain

机译:在时域中使用二维全地震波形的高斯-牛顿反演进行场地表征

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摘要

Site characterization for design of deep foundations is very crucial, as unanticipated site conditions still represent significant problems and disputes occur during construction. Traditional surface-based geophysical methods, which use wave velocity dispersion or first-arrival times, have been widely used recently to assess spatial variation; however they cannot well characterize reverse profiles or buried low-velocity zones. For better characterization of these challenging site conditions, a full waveform inversion based on Gauss-Newton method is presented. The inversion scheme is based on a finite- difference solution of the 2-D elastic wave equation in the time domain. The strength of this approach is the ability to generate all possible wave types of seismic wavefields that are then compared with observed data to infer complex subsurface properties. Virtual sources and reciprocity of wavefields are used for calculation of partial derivative wavefields to reduce computer time. Cross convolution between observed and estimated wavefields are also employed to allow the technique to be independent of the source signatures. The capability of the presented technique is tested with both synthetic and real experimental data sets. The inversion results from synthetic data show the ability of characterizing anomalies of low- and high-velocity zones, and the inversion results from real data are generally consistent with SPT N-value, including the identification of a buried low-velocity layer.
机译:深层基础设计的场地表征非常重要,因为意料之外的场地条件仍然代表着重大问题,并且在施工过程中会发生纠纷。最近,使用波速色散或首次到达时间的传统基于地面的地球物理方法被广泛用于评估空间变化。但是,它们不能很好地表征反向剖面或埋藏的低速带。为了更好地表征这些具有挑战性的现场条件,提出了一种基于高斯-牛顿法的全波形反演方法。反演方案基于时域二维弹性波方程的有限差分解。这种方法的优势在于能够生成所有可能的地震波场波型,然后将其与观测数据进行比较以推断复杂的地下特性。虚拟源和波场的互易性用于计算偏导数波场,以减少计算机时间。观测波场和估计波场之间的交叉卷积也可用于使该技术与源特征无关。所提出的技术的功能已通过综合和实际实验数据集进行了测试。合成数据的反演结果显示了表征低速和高速区域异常的能力,而真实数据的反演结果通常与SPT N值一致,包括对埋藏的低速层的识别。

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