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袁近远, 李天宁, 王兰民, 汪云龙, 陈龙伟, 李兆焱, 袁晓铭, 王永志, 陈卓识, 李瑞山. 砂土液化概率计算新方法[J]. 岩土工程学报, 2022, 44(3): 541-549. DOI: 10.11779/CJGE202203016
引用本文: 袁近远, 李天宁, 王兰民, 汪云龙, 陈龙伟, 李兆焱, 袁晓铭, 王永志, 陈卓识, 李瑞山. 砂土液化概率计算新方法[J]. 岩土工程学报, 2022, 44(3): 541-549. DOI: 10.11779/CJGE202203016
YUAN Jin-yuan, LI Tian-ning, WANG Lan-min, WANG Yun-long, CHEN Long-wei, LI Zhao-yan, YUAN Xiao-ming, WANG Yong-zhi, CHEN Zhuo-shi, LI Rui-shan. New method for calculating probability of sand liquefaction[J]. Chinese Journal of Geotechnical Engineering, 2022, 44(3): 541-549. DOI: 10.11779/CJGE202203016
Citation: YUAN Jin-yuan, LI Tian-ning, WANG Lan-min, WANG Yun-long, CHEN Long-wei, LI Zhao-yan, YUAN Xiao-ming, WANG Yong-zhi, CHEN Zhuo-shi, LI Rui-shan. New method for calculating probability of sand liquefaction[J]. Chinese Journal of Geotechnical Engineering, 2022, 44(3): 541-549. DOI: 10.11779/CJGE202203016

砂土液化概率计算新方法

New method for calculating probability of sand liquefaction

  • 摘要: 基于发展风险理念下液化防治技术的需求,推导出了一种基于单变量(UB)的概率计算新方法,提出了以实测标贯击数为主控参数的砂土液化概率评价的半经验半理论方法与新计算公式,并以近期地震大量实测数据对新方法进行了对比检验。研究表明:通过较为成熟的土层液化判定的确定性方法与求解概率的经典数学方法相结合,可解决目前实测资料不具备完备性导致的完全依靠样本回归或学习形成的评价方法的偏差问题,亦可克服采用CSR理论导致的既有液化概率计算方法在砂层埋深超过10 m后不合理的缺点;以2011年新西兰地震中0.23g~0.89g的PGA范围、2~30 m埋深的341组液化实测数据检验,新方法和公式的可靠性和先进性得到了验证。提出的公式已被具有样板规范性质的《建筑工程抗震性态设计通则》修订版采纳,可为相关规范修订及工程应用提供指导与技术支持,同时提出的基于单变量的概率计算新方法对其他多自变量下二分类概率计算问题具有指导与参考意义。

     

    Abstract: Based on the demand of developing liquefaction prevention and control technology under the concept of risk, a new univariate-based (UB) probability method is deduced, and a new formula is proposed, which takes the in-situ standard penetration blow count as the main control parameter, and the verification of the new method is conducted by using the recent actually measured data. The results shows that through the combination of the mature deterministic method of liquefaction discrimination with the classical mathematical method for the probability can solve the deviation problem of the evaluation method which is completely dependent on sample regression or learning caused by the incompleteness of the current measured data, and can also overcome the unreasonable disadvantages of the existing evaluation methods for liquefaction probability caused by the CSR theory when the buried depth of sand layer exceeds 10 m. The reliability and advancement of the new method and formula are verified by 341 groups of measured liquefaction data with PGA range of 0.23g to 0.89g and buried depth of 2 to 30 m from the 2011 New Zealand Earthquake. The proposed formula has been adopted in the revised version of the General Rule for Performance-Based Seismic Design of Buildings of China, which can provide guidance and technical support for the related specification revision and engineering application, and the proposed univariate-based approach for probability calculation can be used as a guide and reference for probability calculation of dichotomies with multiple independent variables.

     

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