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Quantifying the anisotropic electrical resistivity of marine clays: A comprehensive model integrating index properties, gradation, and aging effects

Authors
Choi, BosungRyu, ByeonghwiChoo, Hyunwook
Issue Date
May-2026
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Keywords
marine clay; Electrical resistivity; Archie's equation; Electrical tortuosity; Aging
Citation
OCEAN ENGINEERING, v.355, no.P1, pp 1 - 12
Pages
12
Indexed
SCIE
SCOPUS
Journal Title
OCEAN ENGINEERING
Volume
355
Number
P1
Start Page
1
End Page
12
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/212251
DOI
10.1016/j.oceaneng.2026.125055
ISSN
0029-8018
1873-5258
Abstract
Archie's cementation exponent (m) is a critical parameter for the resistivity-based characterization of marine sediments, as it enables the accurate estimation of porosity or void ratio profiles essential for offshore foundation design. However, its quantification remains challenging due to the complex anisotropic fabric of natural clays. This study investigated directional electrical behavior by combining laboratory experiments, ridge regression modeling, and field validation. Results on representative commercial clays (three kaolins and four bentonites) demonstrate that m is primarily governed by intrinsic index properties, with a log-linear model achieving high predictive accuracy (RMAE <7%). Validation using seabed clays from South Korea revealed that intrinsic properties alone are insufficient for natural deposits. This study identified that particle size distribution significantly enhances pore-path complexity; thus, incorporating gradation-related parameters in the model reduced the RMAE for remolded field samples to 8.6%. Furthermore, a time-dependent aging correction factor was introduced to account for long-term fabric development, reducing RMAE for undisturbed specimens from 40.7% to 18.6%. Finally, this study established that electrical anisotropy (λe) is a robust geophysical metric for assessing sample disturbance, with λe ranging 1.22-1.34 identified for boundary between intact and disturbed fabric. This framework supports reliable resistivity-based characterization for critical offshore infrastructure design
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COLLEGE OF ENGINEERING (DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING)
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