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http://hdl.handle.net/10397/109753
Title: | Evaluating the deformation modulus at representative elementary volume using electrical resistivity tomography | Authors: | Akbariforouz, M Zhao, Q Stocchino, A Zheng, C |
Issue Date: | Nov-2024 | Source: | International journal of rock mechanics and mining sciences, Nov. 2024, v. 183, 105935 | Abstract: | The deformation modulus of rock mass is an essential parameter for evaluating the bearing capacity and deformations. A deformation modulus obtained through conventional approaches, including empirical equations and in situ tests, cannot present the deformation modulus at representative elementary volume (DREV) due to limited test coverage and technical difficulties in harsh geological or topographic conditions. This study utilized electrical resistivity (ER) tomography and numerical back-analysis to investigate DREV at the Asmari-Jahrum formation. We employed geoelectrical contrasts to detect proper locations for installing extensometers at excavated galleries. The deformations recorded by extensometer were used to back-calculate the DREV values by finite difference numerical modeling. We established a correlation between ER and DREV to predict DREV, which were 30–80 % more accurate than those obtained through conventional approaches at the study site. The tested area, anisotropy, creep, ER inaccuracies, and plastic deformations are evaluated as statistically significant factors that can influence DREV. Our methodology provides a systematical approach to assess DREV, which applies to geoengineering projects within the Asmari-Jahrum formation or similar sedimentary units (ER below 200 Ω⸱m). This methodology is also replicable for other geological formations with harsh geology or limited access without exposing an extreme financial burden or environmental issues. | Keywords: | Deformation modulus Electrical resistivity tomography Numerical back-analysis Representative elementary volume |
Publisher: | Elsevier Ltd | Journal: | International journal of rock mechanics and mining sciences | ISSN: | 1365-1609 | EISSN: | 1873-4545 | DOI: | 10.1016/j.ijrmms.2024.105935 |
Appears in Collections: | Journal/Magazine Article |
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