原位
混合(物理)
财产(哲学)
材料科学
环境科学
岩土工程
地质学
土壤科学
物理
气象学
哲学
量子力学
认识论
作者
Yanlong Niu,Siau Chen Chian,Yunyue Elita Li
出处
期刊:Geotechnique
[Thomas Telford Ltd.]
日期:2024-11-06
卷期号:: 1-43
被引量:1
标识
DOI:10.1680/jgeot.23.00325
摘要
Evaluating the mechanical properties of deep soil mixing (DSM) requires destructive borehole coring because they are mainly situated underground. Although surface wave method offers potential for quality assurance, its complexity arises from multi-mode phenomena and the need to re-evaluate inversion results, often necessitating manual interpretation. This paper presents a data-driven surface wave framework to retrieve field DSM profile Vs over time, incorporating a mode-free forward operator and the Monte Carlo Tree Search (MCTS) inversion. Validations using synthetic data affirmed the framework’s accuracy and efficiency in tracking subsurface shear wave velocity. In a real-world DSM site, the proposed method successfully captures the mechanical properties evolution across two DSM layers over the curing period, aligning well with site investigations and borehole coring. This pioneering monitoring framework integrates geotechnical engineering with geophysics expertise, underscoring the value of non-destructive seismic methods for measuring subsurface property evolution.
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