Examination of CPT-based Liquefaction Evaluation Methods for New Zealand Earthquake

被引:1
|
作者
Chen, Tongzhi [1 ]
Yuan, Xiaoming [1 ]
机构
[1] CEA, Inst Engn Mech, Key Lab Earthquake Engn & Engn Vibrat, Harbin 150080, Heilongjiang, Peoples R China
关键词
Earthquake; New Zealand; Liquefaction; CPT; Evaluation method;
D O I
10.4028/www.scientific.net/AMM.477-478.1105
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
On February 22, 2011 a M-w 6.2 earthquake struck Christchurch in New Zealand, which is the first time that liquefaction acts as the main cause of damage since there is survey record of historical earthquakes. On the basis of field investigation and in-situ test data, domestic and foreign liquefaction evaluation methods based on CPT including Chinese code, Robertson and Olsen methods are examined and their applicability and reliability are assessed. Analysis shows that the method adopted in Chinese code is more dangerous, whose success rates of liquefaction and non-liquefaction evaluation are 70% and 94%.The other two methods abroad are severely conservative, for the success rates of liquefaction and non-liquefaction evaluation of Robertson method are 100% and 40%, and Olsen method 100% and 11% respectively. Liquefaction evaluation methods need further research to be improved.
引用
收藏
页码:1105 / 1108
页数:4
相关论文
共 50 条
  • [41] Probabilistic evaluation of CPT-based seismic soil liquefaction potential: towards the integration of interpretive structural modeling and bayesian belief network
    Ahmad, Mahmood
    Ahmad, Feezan
    Huang, Jiandong
    Iqbal, Muhammad Junaid
    Safdar, Muhammad
    Pirhadi, Nima
    [J]. MATHEMATICAL BIOSCIENCES AND ENGINEERING, 2021, 18 (06) : 9233 - 9252
  • [42] 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)
  • [43] Performance of CPT-based methods to assess monopile driveability in North Sea sands
    Byrne, T.
    Gavin, K.
    Prendergast, L. J.
    Cachim, P.
    Doherty, P.
    Pulukul, S. Chenicheri
    [J]. OCEAN ENGINEERING, 2018, 166 : 76 - 91
  • [44] 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
  • [45] Evaluation of soil liquefaction in the Chi-Chi, Taiwan earthquake using CPT
    Ku, CS
    Lee, DH
    Wu, HH
    [J]. SOIL DYNAMICS AND EARTHQUAKE ENGINEERING, 2004, 24 (9-10) : 659 - 673
  • [46] A hybrid approach for evaluating CPT-based seismic soil liquefaction potential using Bayesian belief networks
    Mahmood, Ahmad
    Tang Xiao-wei
    Qiu Jiang-nan
    Gu Wen-jing
    Feezan, Ahmad
    [J]. JOURNAL OF CENTRAL SOUTH UNIVERSITY, 2020, 27 (02) : 500 - 516
  • [47] Bayesian network models for probabilistic evaluation of earthquake-induced liquefaction based on CPT and Vs databases
    Hu, Jilei
    Liu, Huabei
    [J]. ENGINEERING GEOLOGY, 2019, 254 (76-88) : 76 - 88
  • [48] Ultimate Capacity of Drilled Displacement Piles: Static Analysis and CPT-Based Methods
    S. H. Rad
    S. Ghareh
    A. Eslami
    N. Ganjian
    [J]. Soil Mechanics and Foundation Engineering, 2023, 60 : 29 - 35
  • [49] Ultimate Capacity of Drilled Displacement Piles: Static Analysis and CPT-Based Methods
    Rad, S. H.
    Ghareh, S.
    Eslami, A.
    Ganjian, N.
    [J]. SOIL MECHANICS AND FOUNDATION ENGINEERING, 2023, 60 (1) : 29 - 35
  • [50] CPT-based probabilistic liquefaction assessment considering soil spatial variability, interpolation uncertainty and model uncertainty
    Guan, Zheng
    Wang, Yu
    [J]. COMPUTERS AND GEOTECHNICS, 2022, 141