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首页> 外文期刊>Geophysics: Journal of the Society of Exploration Geophysicists >Improved parameterization to invert Rayleigh-wave data for shallow profiles containing stiff inclusions
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Improved parameterization to invert Rayleigh-wave data for shallow profiles containing stiff inclusions

机译:改进了参数设置,可对包含刚性夹杂物的浅剖面反瑞利波数据进行反演

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摘要

Inversion of shear-wave velocity profiles from phase-velocity measurements of Rayleigh-wave energy for sites containing stiff layers can be erroneous if such layers are not characterized in the starting or reference model. Incorporation of a priori knowledge then is key for converging upon a realistic or meaningful solution. Resolving soil profiles in desert regions where stiff layers cemented with calcium carbonate are intermixed with softer, uncemented media is an application for which locating shallow stiff inclusions has important implications. Identification of the stiff layers is critical for foundation design and cost estimating of excavations. A parameterization that seems adequate for this problem is to solve for anticipated high-stiffness layers embedded in a coarser (background) profile that captures the general shear-wave velocity trend of the study area. The optimization is accomplished by using simulated annealing. Uncertainty measures resulting from the inversion are helpful for describing the influence of the parameterization on final model estimates.
机译:如果在初始模型或参考模型中未对包含刚性层的位置的瑞利波能量的相速度测量进行切变波速度剖面反演,则可能是错误的。因此,先验知识的合并对于收敛于现实或有意义的解决方案至关重要。解决沙漠地区的土壤剖面问题,在该地区,用碳酸钙胶结的硬质层与较软的,未胶结的介质混合在一起,对于定位浅层硬质夹杂物具有重要意义的应用。刚性层的识别对于基础设计和开挖成本估算至关重要。似乎足以解决此问题的参数设置是解决嵌入较粗(背景)轮廓中的预期高刚度层,以捕获研究区域的总体剪切波速度趋势。优化是通过使用模拟退火来完成的。反演产生的不确定性度量有助于描述参数化对最终模型估计的影响。

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