[1] 汪闻韶. 土工地震减灾工程中的一个重要参量——剪切波速[J]. 水利学报,1994,(3):80–84.(WANG Wenshao. An important parameter in geotechnical engineering for earthquake disaster mitigation—shear wave velocity[J]. Journal of Hydraulic Engineering,1994,(3):80–84.(in Chinese))
[2] STOKOE K H,ROESSET J M,BIERSCHWALE J G,et al. Liquefaction potential of sands from shear wave velocity[C]// Proceedings of the 9th World Conference on Earthquake Engineering. Tokyo,Japan:[s. n.],1988,III:213–218.
[3] ANDRUS R D,STOKOE K H. Liquefaction resistance of soils from shear-wave velocity[J]. Journal of Geotechnical and Geoenviromental Engineering,ASCE,2000,126(11):1 015–1 025.
[4] 中华人民共和国国家标准编写组. GB50011—2010建筑抗震设计规范[S]. 北京:中国建筑工业出版社,2010.(The National Standards Compilation Group of People¢s Republic of China. GB50011—2010 Code for seismic design of buildings[S]. Beijing:China Architecture and Building Press,2010.(in Chinese))
[5] 石兆吉,郁寿松,丰万玲. 土壤液化势的剪切波速判别法[J]. 岩土工程学报,1993,15(1):74–80.(SHI Zhaoji,YU Shousong,FENG Wanling. Shear wave velocity based soil liquefaction evaluation[J]. Chinese Journal of Geotechnical Engineering,1993,15(1):74–80.(In Chinese))
[6] 中华人民共和国国家标准编写组. GB 50021—2001岩土工程勘察规范[S]. 北京:中国建筑工业出版社,2009.(The National Standards Compilation Group of People¢s Republic of China. GB 50021—2001 Code for investigation of geotechnical engineering[S]. Beijing:China Architecture and Building Press,2009.(in Chinese))
[7] 中华人民共和国行业标准编写组. CECS—2004建筑工程抗震性态设计通则[S]. 北京:中国计划出版社,2004.(The Professional Standards Compilation Group of People¢s Republic of China. CECS—2004 General rules for the performance-based seismic design of buildings[S]. Beijing:China Planning Press,2004.(in Chinese))
[8] LIAO S C,VENEZIANO D,WHITMAN R V. Regression models for evaluating liquefaction probability[J]. Journal of Geotechnical Engineering,1988,114(4):389–411.
[9] 佘跃心,刘汉龙,高玉峰. 场地液化势评价概率模型[J]. 工程勘察,2002,30(5):4–7.(SHE Yuexin,LIU Hanlong,GAO Yufeng. Probabilistic model for evaluation of site liquefaction potential[J]. Geotechnical Investigation and Surveying,2002,30(5):4–7.(in Chinese))
[10] 陈国兴,李方明. 基于径向基函数神经网络模型的砂土液化概率判别方法[J]. 岩土工程学报,2006,28(3):301–305.(CHEN Guoxing,LI Fangming. Probabilistic estimation of sand liquefaction based on neural network model of radial basis function[J]. Chinese Journal of Geotechnical Engineering,2006,28(3):301–305.(in Chinese))
[11] 潘建平,孔宪京,邹德高. 基于Logistic回归模型的砂土液化概率评价[J]. 岩土力学,2008,29(9):2 567–2 571.(PAN Jianping,KONG Xianjing,ZOU Degao. Probabilistic evaluation of sand liquefaction based on Logistic regression model[J]. Rock and Soil Mechanics,2008,29(9):2 567–2 571.(in Chinese))
[12] 符圣聪,江静贝. 基于静力触探的液化势概率估计和判别标准[J].工程抗震与加固改,2005,27(1):70–74.(FU Shengcong,JIANG Jingbei. Probabilistic evaluation and criterion of liquefaction potential by CPT[J]. Earthquake Resistant Engineering and Retrofitting,2005,27(1):70–74.(in Chinese))
[13] 袁启旺. 基于CPT的地基液化概率评价[J]. 工程勘察,2009,37(6):24–29.(YUAN Qiwang. Evaluating soil liquefaction probability using CPT data[J]. Geotechnical Investigation and Surveying,2009,37(6):24–29.(in Chinese))
[14] JUANG C H,ANDRUS R D,JIANG T,et al. Probability-based liquefaction evaluation using shear wave velocity measurements[C]// Proceedings of the 4th International Conference on Recent Advances in Geotechnical Earthquake Engineering and Soil Dynamics. San Diego, California:University of Missouri at Rolla,2001:26–31.
[15] 袁晓铭,费 扬,陈龙伟,等. 含剧烈地震动作用不同埋深砂土液化判别统一公式[J]. 岩石力学与工程学报,2021,40(10):2 101–2 112.(YUAN Xiaoming,FEI Yang,CHEN Longwei,et al. An unified formula for predicting sand liquefaction in different buried depths under severe seismic ground motion[J]. Chinese Journal of Rock Mechanics and Engineering,2021,40(10):2 101–2 112.(in Chinese))
[16] COX D R. The analysis of binary data[M]. London:Methuen and Co. Ltd.,1970:240.