CPT-based LPI criteria for ground liquefaction risk classification

被引:0
|
作者
Ku, Chih-Sheng [1 ]
Ma, Chen-Min [1 ]
机构
[1] I Shou Univ, Dept Civil & Ecol Engn, Kaohsiung, Taiwan
关键词
Liquefaction; liquefaction vulnerability index; liquefaction potential index (LPI); cone penetration test; CONE PENETRATION TEST; POTENTIAL INDEX; INDUCED FAILURES; SOIL-CONDITIONS; EARTHQUAKE; RESISTANCE; ADAPAZARI; TURKEY; SITES;
D O I
10.1080/02533839.2017.1384328
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The liquefaction potential index (LPI) has been extensively applied to ground liquefaction hazard assessments. In this paper, the Robertson's unified cone penetration test (CPT) based method was applied to determine the LPIs for case histories in two well-documented investigation areas: Adapazari in Turkey and Yuanlin City in Taiwan. A statistical method was applied to find LPI threshold values for low, medium, and high ground liquefaction potential at LPIs of 5.6, 12.5, and 21.7, respectively. According to an analysis of the various risk levels by applying Bayes' theorem of conditional probability, the probabilities of liquefaction are 0, 32.3, 85.2, and 100% at the low, medium, high, and extremely high ground liquefaction risk level, respectively.
引用
收藏
页码:699 / 707
页数:9
相关论文
共 50 条
  • [21] CPT-BASED SIMPLIFIED LIQUEFACTION ASSESSMENT BY USING FUZZY-NEURAL NETWORK
    Chern, Shuh-Gi
    Lee, Ching-Yinn
    JOURNAL OF MARINE SCIENCE AND TECHNOLOGY-TAIWAN, 2009, 17 (04): : 326 - 331
  • [22] Verification of current CPT-based liquefaction evaluation method by Bachu earthquake data
    Li, Zhaoyan
    Cao, Zhenzhong
    Yuan, Xiaoming
    ADVANCES IN CIVIL ENGINEERING, PTS 1-4, 2011, 90-93 : 1543 - 1548
  • [23] Liquefaction potential assessment of the DMDP area of Bangladesh using CPT-based methods
    Ansary, Mehedi A.
    Ansary, Mushfika
    Ahamed, Sayma
    NATURAL HAZARDS, 2024, 120 (11) : 9777 - 9808
  • [24] CPT-based probabilistic and deterministic assessment of in situ seismic soil liquefaction potential
    Moss, R. E. S.
    Seed, R. B.
    Kayen, R. E.
    Stewart, J. P.
    Kiureghian, A. Der
    Cetin, K. O.
    JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING, 2006, 132 (08) : 1032 - 1051
  • [25] CPT-Based Soil Classification through Machine Learning Techniques
    Athar, Mohammad Faraz
    Khoshnevisan, Sara
    Sadik, Laith
    GEO-CONGRESS 2023: GEOTECHNICAL SYSTEMS FROM PORE-SCALE TO CITY-SCALE, 2023, : 277 - 292
  • [26] Study on pile ultimate capacity criteria and CPT-based direct methods
    Moshfeghi, Sara
    Eslami, Abolfazl
    INTERNATIONAL JOURNAL OF GEOTECHNICAL ENGINEERING, 2018, 12 (01) : 28 - 39
  • [27] Evaluating model uncertainty of a CPT-based model for earthquake-induced soil liquefaction
    Lee, Y. F.
    Chi, Y. Y.
    Juang, C. H.
    APPLICATIONS OF STATISTICS AND PROBABILITY IN CIVIL ENGINEERING, 2011, : 1725 - 1730
  • [28] CPT-Based Evaluation of Liquefaction Potential Accounting for Soil Spatial Variability at Multiple Scales
    Chen, Qiushi
    Wang, Chaofeng
    Juang, C. Hsein
    JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING, 2016, 142 (02)
  • [29] Evaluating the applicability of conventional CPT-based liquefaction assessment procedures to reclaimed gravelly soils
    Dhakal, Riwaj
    Cubrinovski, Misko
    Bray, Jonathan D.
    SOIL DYNAMICS AND EARTHQUAKE ENGINEERING, 2022, 155
  • [30] Effects of data smoothing and reduction on CPT-based probabilistic soil classification
    Tumay, Mehmet T.
    Hatipkarasulu, Yilmaz
    GEOTECHNICAL AND GEOPHYSICAL SITE CHARACTERIZATION 4, VOLS I AND II, 2013, : 843 - 850