Evaluating model uncertainty of a CPT-based model for earthquake-induced soil liquefaction

被引:0
|
作者
Lee, Y. F. [1 ]
Chi, Y. Y. [2 ]
Juang, C. H. [3 ]
机构
[1] Toko Univ, Dept Leisure Recreat & Travel Management, Chiayi, Taiwan
[2] Chang Jung Christian Univ, Dept Land Management & Dev, Tainan, Taiwan
[3] Clemson Univ, Dept Civil Engn, Clemson, SC 29634 USA
关键词
DETERMINISTIC ASSESSMENT; PENETRATION TEST; PROBABILITY; YUANLIN; TAIWAN;
D O I
暂无
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
To account for uncertainties in the environmental parameters and model that are required in the calculation of soil liquefaction potential, the probabilistic approaches may be employed. In this paper a new CPT-based Liquefaction Triggering Model (LTM) is arranged using field performance case histories of Moss et al (2006). The model uncertainty, mu(c1) and COV(c(1)) of the LMT is determined by the sampling process taking proportional cases from the group of liquefied cases and the group of non-liquefied cases. However, the probability of liquefaction is calculated considering uncertainties of model and parameters by the Hasofer-Lind reliability index and the KCP (Lee et al, 2007). It is principally when evaluating probability of liquefaction that all (the model and parameter) uncertainty considered differs significantly from earlier and widely used only parameter uncertainty considered.
引用
收藏
页码:1725 / 1730
页数:6
相关论文
共 50 条
  • [1] CPT-based probabilistic liquefaction assessment considering soil spatial variability, interpolation uncertainty and model uncertainty
    Guan, Zheng
    Wang, Yu
    [J]. COMPUTERS AND GEOTECHNICS, 2022, 141
  • [2] A probabilistic model for CPT-based soil classification
    Cetin, KO
    Ozan, C
    [J]. APPLICATIONS OF STATISTICS AND PROBABILITY IN CIVIL ENGINEERING, VOLS 1 AND 2, 2003, : 1231 - 1234
  • [3] A Stacked Generalization Model to Enhance Prediction of Earthquake-Induced Soil Liquefaction
    Preethaa, Sri
    Natarajan, Yuvaraj
    Rathinakumar, Arun Pandian
    Lee, Dong-Eun
    Choi, Young
    Park, Young-Jun
    Yi, Chang-Yong
    [J]. SENSORS, 2022, 22 (19)
  • [4] Soft Computing to Predict Earthquake-Induced Soil Liquefaction via CPT Results
    Ghanizadeh, Ali Reza
    Aziminejad, Ahmad
    Asteris, Panagiotis G.
    Armaghani, Danial Jahed
    [J]. INFRASTRUCTURES, 2023, 8 (08)
  • [5] Uncertainty propagation in CPT-based liquefaction resistance evaluation
    Juang, CH
    Tao, TH
    [J]. GEOTECHNICAL SITE CHARACTERIZATION, VOLS 1 AND 2, 1998, : 1087 - 1092
  • [6] Examination of CPT-based Liquefaction Evaluation Methods for New Zealand Earthquake
    Chen, Tongzhi
    Yuan, Xiaoming
    [J]. APPLIED MECHANICS AND MATERIALS II, PTS 1 AND 2, 2014, 477-478 : 1105 - 1108
  • [7] A novel ensemble model based on GMDH-type neural network for the prediction of CPT-based soil liquefaction
    Kurnaz, T. Fikret
    Kaya, Yilmaz
    [J]. ENVIRONMENTAL EARTH SCIENCES, 2019, 78 (11)
  • [8] CPT-based analysis of liquefaction and re-liquefaction following the Canterbury earthquake sequence
    Lees, J. J.
    Ballagh, R. H.
    Orense, R. P.
    van Ballegooy, S.
    [J]. SOIL DYNAMICS AND EARTHQUAKE ENGINEERING, 2015, 79 : 304 - 314
  • [9] A novel ensemble model based on GMDH-type neural network for the prediction of CPT-based soil liquefaction
    T. Fikret Kurnaz
    Yilmaz Kaya
    [J]. Environmental Earth Sciences, 2019, 78
  • [10] CPT-based liquefaction assessment of CentrePort Wellington after the 2016 Kaikoura earthquake
    Bray, J. D.
    Cubrinovski, M.
    de la Torre, C.
    Stocks, E.
    Krall, T.
    [J]. CONE PENETRATION TESTING 2018, 2018, : 165 - 171