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Seismic Liquefaction Potential Assessment by Artificial Neural Networks

Tailings and Mine Waste Conference (2023 : Vancouver, B.C.); University of British Columbia. Norman B. Keevil Institute of Mining Engineering

Soil liquefaction occurs in loose, cohesionless soils (i.e., sands and silts) and in sensitive clays when a sudden loss of strength and stiffness is experienced, sometimes resulting in large, permanent displacements of the ground and/or geo-structures. The most common procedures used in practice for the evaluation of liquefaction potential in soils and tailings materials are based on identification of the occurrence or nonoccurrence of liquefaction through the analysis of liquefaction case histories using empirical, simple regression, or statistical methods. In this study, a variety of machine learning (ML) and empirical methods were applied to evaluate seismic liquefaction potential based on actual field records. The performance of each method was evaluated, and the results were compared to demonstrate the efficacy of each method.

Text

2023-12-08

Attribution-NonCommercialNoDerivatives 4.0 International

http://hdl.handle.net/2429/86811

Unreviewed

http://creativecommons.org/licenses/by-nc-nd/4.0/