Rohayu Che Omar

Abstract Accurate prediction of liquefaction-induced lateral displacement is essential for seismic risk assessment, resilient infrastructure design, and cost-effective mitigation. Such predictions are complex and cannot be reliably addressed using conventional analytical approaches. This research utilizes XGBoost, CatBoost and AdaBoost algorithms with 247 post-liquefaction in-situ free-face ground condition case studies to model and investigate liquefaction induced lateral displacements.

Open AccessArticle by Nur ‘Aishah Zarime 1,*, Badariah Solemon 1,*, Wan Zuhairi Wan Yaacob 2, Habibah Jamil 2, Rohayu Che Omar 1 and Adeleke Abdulrahman Oyekanmi 1 1 Institute of Energy Infrastructure (IEI), Universiti Tenaga Nasional (UNITEN), Putrajaya Campus, Jalan IKRAM-UNITEN, Kajang 43000, Selangor, Malaysia 2 Department of Earth Sciences and Environmental, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia * Authors to whom correspondence...

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