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    Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/100542


    Title: Probabilistic and spatial assessment of liquefaction-induced settlements through multiscale random field models
    Authors: 莊長賢;Chen, Qiushi;Wang, Chaofeng;Juang, C. Hsein
    Contributors: 工學院土木工程學系
    Keywords: Assessments;California;Cone penetration test (CPT);engineering;Fields (mathematics);Geology;Liquefaction;Liquefaction settlement;Probabilistic analysis;Probabilistic methods;Probability theory;Random field model;Settling;Soil (material);soil profiles;soil properties;Spatial variability
    Date: 2016-08-23
    Issue Date: 2026-04-21 14:06:00 (UTC+8)
    Publisher: Elsevier;Elsevier B.V
    Abstract: 摘要: Evaluation of liquefaction-induced settlements over an extended area requires the integration of different solution models that can account for the liquefaction resistance of a given soil profile and its spatial dependence across scales. In this paper, a CPT-based liquefaction model is adopted to estimate the liquefaction-induced settlement at individual sounding locations. The model is then integrated with multiscale random field models to account for spatial variability of soil properties. One important advantage of the proposed framework is its ability to consistently refine and provide settlement estimations across different scales, from regional and geologic unit scales down to a local, site-specific scale. The proposed methodology is then applied to the Alameda County, California, an earthquake-prone region, to illustrate the procedure for probabilistic and spatial assessment of liquefaction-induced settlements at different scales. •A framework to estimate regional liquefaction-induced settlement is developed.•Spatial variability of soil properties across different scales is captured.•Local site-specific analyses of liquefaction-induced ground settlement are performed.
    出版者: Elsevier B.V
    出版日期: 2016-08-23
    出處: Engineering geology, 2016-08, Vol.211, p.135-149
    資源來源: Elsevier ScienceDirect Journals AutoHoldings
    版權: 2016 Elsevier B.V.
    識別號: ISSN: 0013-7952
    識別號: EISSN: 1872-6917
    識別號: DOI: 10.1016/j.enggeo.2016.07.002
    Appears in Collections:[Department of Civil Engineering] journal & Dissertation

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