Annual probability and return period of soil liquefaction in Yuanlin, Taiwan attributed to Chelungpu Fault and Changhua Fault

Lee, Ya Fen; Yao, Yasuhiro; Juang, C. Hsein; Lee, Der Her

doi:10.1016/j.enggeo.2010.05.012

Cited by 6 publications

(1 citation statement)

References 31 publications

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“…The previously mentioned deterministic/probabilistic methods are applicable for a specific performance level or earthquake scenario (e.g., 475-year of RP); however, they do not address overall liquefaction potential by taking all possible earthquake scenarios into account, i.e., possible combinations of earthquake magnitude and source-to-site distance [123]. The actual probability of liquefaction would be the probability of liquefaction occurring during an earthquake when considered together with the probability of an earthquake of such magnitude occurring [98].…”

Section: A Probabilistic Liquefaction Hazard Assessment (Plha)mentioning

confidence: 99%

A Review of Probabilistic Approaches for Assessing the Liquefaction Hazard in Urban Areas

Cruz,

Karimzadeh,

Chieffo

et al. 2024

Arch Computat Methods Eng

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Several probabilistic liquefaction triggering approaches, or liquefaction manifestation severity approaches, have been developed to consider the uncertainties related to liquefaction and its manifestations. Probabilistic approaches are essential for vulnerability and risk models that considers the consequences of liquefaction on building performance. They may be incorporated into a performance-based earthquake engineering framework through a fully probabilistic liquefaction hazard assessment. The objective is to effectively incorporate spatial interaction of two concurrent hazards, specifically earthquake-induced shaking, and liquefaction, and to develop a robust multi-hazard framework applicable to regions with limited input data. For this purpose, it is necessary to establish, according to the available probabilistic liquefaction triggering or manifestation severity assessment approaches, which set of approaches aligns optimally with vulnerability and risk models. Thus, this paper discusses the current methodologies on the ongoing probabilistic liquefaction hazard assessment approaches with the aim of defining a reliable model specific for areas with a non-liquefiable surface layer over a liquefiable layer.

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Section: A Probabilistic Liquefaction Hazard Assessment (Plha)mentioning

confidence: 99%