Chapter
Jul 20, 2023

Characterization of Geotechnical Model Uncertainties Using a Non-Invasive Geophysical Approach

ABSTRACT

Geo-risk assessment depends on a though and accurate characterization of geotechnical model. However, subsurface lithological variations and inadequate well data produce uncertainties in such models, which often lead to large societal hazards such as collapse of engineered structures, geohazards, etc. Accurate valuation of geotechnical model mainly depends on rock mass quality assessment. Geotechnical parameters such as Young’s modulus are used in the assessments of rock mass strength. However, engineering parameters are conventionally obtained via drilling tests. Borehole methods are pricey, time-taking; require more equipment; provide point-scale data; offer vertical data coverage only at shallow depths; and are barely conducted in the steep topographic terrains. Alternatively, geophysical methods provide rapid, less invasive, more economical, less time-consuming, and more user-friendly way for geotechnical investigation. In this paper, we propose suitable and direct link between geotechnical and geophysical parameters. The proposed approach is more meaningful and reliable to obtain geotechnical parameters using geophysical data of CSAMT method. Our approach provides adaptable formulas to obtain engineering parameters where even though no well data is accessible. Our methodology provides more accurate geotechnical models for thorough geo-risk evaluation at large depths. This research reduces the uncertainty due to structural heterogeneities and inadequate drilling tests, narrows the gap between insufficient geological knowledge and a true geotechnical model, and offers a comprehensive insight into rock mass strength assessment.

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Geo-Risk 2023
Pages: 184 - 192

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Published online: Jul 20, 2023

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Muhammad Hasan [email protected]
1Key Laboratory of Shale Gas and Geoengineering, Institute of Geology and Geophysics, Innovation Academy for Earth Science, Chinese Academy of Sciences, Chaoyang District, Beijing, PR China; College of Earth and Planetary Sciences, Univ. of Chinese Academy of Sciences, Beijing, PR China. ORCID: https://orcid.org/0000-0001-6804-7962. Email: [email protected]
Yanjun Shang [email protected]
2Key Laboratory of Shale Gas and Geoengineering, Institute of Geology and Geophysics, Innovation Academy for Earth Science, Chinese Academy of Sciences, Chaoyang District, Beijing, PR China; College of Earth and Planetary Sciences, Univ. of Chinese Academy of Sciences, Beijing, PR China. ORCID: https://orcid.org/0000-0003-1784-0930. Email: [email protected]

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