Print Email Facebook Twitter Periodic random fields to perform site response and liquefaction susceptibility analysis Title Periodic random fields to perform site response and liquefaction susceptibility analysis Author Gonzalez Acosta, J.L. (TU Delft Geo-engineering) Varkey, D. (TU Delft Geo-engineering) van den Eijnden, A.P. (TU Delft Geo-engineering) Hicks, M.A. (TU Delft Geo-engineering) Contributor Zdravkovic, Lidija (editor) Kontoe, Stavroula (editor) Taborda, David (editor) Tsiampousi, Aikaterini (editor) Date 2023 Abstract Free-field site response analysis is a standard technique used to predict soil deposit dynamic response and liquefaction susceptibility. Such analyses are typically carried out by implementing periodic boundaries to guarantee the same speed of the dynamic waves travelling across them. However, when using random fields to consider the impact of soil spatial variability there is the possibility of an inconsistency with periodic boundaries. This is due to the generation of non-identical properties at the lateral boundaries on using traditional random fields. To overcome this inconsistency, this paper proposes periodic random fields to model spatial variability by matching the periodicity at the boundaries. To investigate the significance of using the proposed approach, a heterogeneous soil deposit subjected to earthquake loading is analysed using the random finite element method. The results show that, for certain values of the horizontal scale of fluctuation, ensuring consistency at the lateral boundaries could result in less conservative predictions of the extent of the liquefied areas. Subject Periodic Random FieldsSite Response AnalysisLiquefactionTied Degrees To reference this document use: http://resolver.tudelft.nl/uuid:b9abfba2-4d57-4693-820e-74efb83412b2 DOI https://doi.org/10.53243/NUMGE2023-198 Publisher International Society for Soil Mechanics and Geotechnical Engineering Source Proceedings 10th NUMGE 2023: 10th European Conference on Numerical Methods in Geotechnical Engineering Event NUMGE 2023, 2023-06-26 → 2023-06-28, Imperial College London, London, United Kingdom Part of collection Institutional Repository Document type conference paper Rights © 2023 J.L. Gonzalez Acosta, D. Varkey, A.P. van den Eijnden, M.A. Hicks Files PDF NUMGE2023_198.pdf 761.54 KB Close viewer /islandora/object/uuid:b9abfba2-4d57-4693-820e-74efb83412b2/datastream/OBJ/view