An Updated Shear Wave Velocity-Based Seismic Soil Liquefaction Triggering Database

被引:0
|
作者
Ilgac, Makbule [1 ]
Kayen, Robert E. [2 ]
Wood, Clinton [3 ]
Cetin, Kemal O. [1 ]
机构
[1] Middle East Tech Univ, Dept Civil Engn, Ankara, Turkey
[2] Univ Calif Berkeley, Dept Civil & Environm Engn, Berkeley, CA 94720 USA
[3] Univ Arkansas, Dept Civil Engn, Fayetteville, AR 72701 USA
关键词
RESISTANCE;
D O I
暂无
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The small-strain shear wave velocity (V-s) is a means to assess the triggering of seismic soil liquefaction since the early 1990s, and the size and quality of these data sets have grown enormously in the past decades. Based on these data, researchers from 1991 to the present have developed V-s-based seismic soil liquefaction triggering relationships. The authors revisited the V-s-based database to update the case histories with the current state of knowledge and include new case histories (e. g., 2011 Tohoku earthquake, 2010-2011 New Zealand-Canterbury earthquakes, etc.). This paper presents the updated Vs-based database, along with the details and statistics of the case history database. The updated database consists of (1) 537 case histories, (2) new earthquake events, (3) multiple inversion method, (4) assessment of nearby standard penetration test (SPT) and cone penetration test (CPT) data, (5) dispersion curves, (6) multiple shear wave velocity profiles, (7) digitized Vs profiles of the literature case histories, (8) implementation of the improved selection of unit weight, (9) new parameters related to site information (e.g., V-s30m, etc.), (10) standard protocol to process data in an unbiased manner, (11) uncertainties of each input parameter, and (12) and geological site classification. Every input parameter was revisited, reanalyzed, and updated. The new database is organized to develop new probabilistic shear wave velocity-based seismic soil liquefaction triggering relationships using Bayesian analysis and system reliability methods.
引用
收藏
页码:318 / 328
页数:11
相关论文
共 50 条
  • [31] The adoption of deep neural network (DNN) to the prediction of soil liquefaction based on shear wave velocity
    Yonggang Zhang
    Yuanlun Xie
    Yan Zhang
    Junbo Qiu
    Sunxin Wu
    Bulletin of Engineering Geology and the Environment, 2021, 80 : 5053 - 5060
  • [32] Site classification and soil liquefaction evaluation based on shear wave velocity via HoliSurface approach
    Klu, Albert Kafui
    Affam, Michael
    Ewusi, Anthony
    Ziggah, Yao Yevenyo
    Boateng, Emmanuel Kofi
    JOURNAL OF AFRICAN EARTH SCIENCES, 2025, 225
  • [33] The adoption of deep neural network (DNN) to the prediction of soil liquefaction based on shear wave velocity
    Zhang, Yonggang
    Xie, Yuanlun
    Zhang, Yan
    Qiu, Junbo
    Wu, Sunxin
    BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT, 2021, 80 (06) : 5053 - 5060
  • [34] Liquefaction probability criteria table based on shear wave velocity
    Yang Yang
    Sun Rui
    ROCK AND SOIL MECHANICS, 2023, 44 : 634 - 644
  • [35] Predicting liquefaction probability based on shear wave velocity: an update
    Shen, Mengfen
    Chen, Qiushi
    Zhang, Jie
    Gong, Wenping
    Juang, C. Hsein
    BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT, 2016, 75 (03) : 1199 - 1214
  • [36] Predicting liquefaction probability based on shear wave velocity: an update
    Mengfen Shen
    Qiushi Chen
    Jie Zhang
    Wenping Gong
    C. Hsein Juang
    Bulletin of Engineering Geology and the Environment, 2016, 75 : 1199 - 1214
  • [37] Study on Critical Shear Wave Velocity of Saturated Loess Foundation Soil Liquefaction under Different Seismic Magnitudes Action
    Wang, Ping
    Wang, Lanmin
    Wang, Qian
    Wang, Jun
    ADVANCES IN INDUSTRIAL AND CIVIL ENGINEERING, PTS 1-4, 2012, 594-597 : 1720 - 1726
  • [38] Evaluation of liquefaction potential of soil using the shear wave velocity in Tehran, Iran
    Sahar Rahmanian
    Fereydoun Rezaie
    Geosciences Journal, 2017, 21 : 81 - 92
  • [39] Evaluation of liquefaction potential of soil using the shear wave velocity in Tehran, Iran
    Rahmanian, Sahar
    Rezaie, Fereydoun
    GEOSCIENCES JOURNAL, 2017, 21 (01) : 81 - 92
  • [40] Comparing laboratory-based liquefaction resistance of a sand with non-plastic fines with shear wave velocity-based field case histories
    Oka, Lalita G.
    Dewoolkar, Mandar
    Olson, Scott M.
    SOIL DYNAMICS AND EARTHQUAKE ENGINEERING, 2018, 113 : 162 - 173