[1]张政,胡记磊,刘华北.基于贝叶斯网络的缓坡场地震液化侧移评估——以台湾集集地震为例[J].自然灾害学报,2018,27(06):127-132.[doi:10.13577/j.jnd.2018.0616]
 ZHANG Zheng,HU Jilei,LIU Huabei.Assessment of seismic liquefaction-induced lateral spreading in gentle slope field based on Bayesian network: a case of the Chi-chi earthquake, Taiwan[J].,2018,27(06):127-132.[doi:10.13577/j.jnd.2018.0616]
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基于贝叶斯网络的缓坡场地震液化侧移评估——以台湾集集地震为例
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《自然灾害学报》[ISSN:/CN:23-1324/X]

卷:
27
期数:
2018年06期
页码:
127-132
栏目:
出版日期:
2018-12-28

文章信息/Info

Title:
Assessment of seismic liquefaction-induced lateral spreading in gentle slope field based on Bayesian network: a case of the Chi-chi earthquake, Taiwan
作者:
张政 胡记磊 刘华北
华中科技大学 土木工程与力学学院, 湖北 武汉 430074
Author(s):
ZHANG Zheng HU Jilei LIU Huabei
School of Civil Engineering and Mechanics, Huazhong University of Science and Technology, Wuhan 430074, China
关键词:
贝叶斯网络地震液化侧移缓坡场地评估
Keywords:
Bayesian networkearthquake liquefactionlateral spreadinggentle slope fieldassessment
分类号:
X43;X9;TU43
DOI:
10.13577/j.jnd.2018.0616
摘要:
本文基于贝叶斯网络方法,综合考虑了地震液化侧移的13个影响因素及其不确定性,建立了适用于缓坡场地的地震液化侧移贝叶斯网络评估模型。通过我国台湾集集地震液化灾害的算例分析,验证了地震液化侧移的贝叶斯网络评估模型的准确可靠性,并通过分析模型性能的评估指标和人工神经网络模型进行了对比。本文建立的地震液化侧移贝叶斯网络评估模型不仅可以预测场地是否会发生液化,而且可以在此基础上进一步评估场地液化引起的侧移量等级。
Abstract:
Based on the Bayesian network method, this paper synthetically considers 13 influencing factors and uncertainty of seismic liquefaction lateral spreading, and establishes a Bayesian network assessment model for seismic liquefaction lateral spreading for gentle slope field. Through the example analysis of the liquefaction disasters in Chichi earthquake, Taiwan, China, the accuracy and reliability of the Bayesian network assessment model for seismic liquefaction lateral spreading are illustrated, and its evaluation indices for model performance are compared with the artificial neural network model. The Bayesian network assessment model established in this paper not only can predict liquefaction potential, but also can further assess the level of liquefaction-induced lateral spreading.

参考文献/References:

[1] 刘惠珊, 徐凤萍, 李鹏程. 液化引起的地面大位移对工程的影响及研究现状[J]. 工程抗震, 1997:21-26. LIU Huishan, XU Fengping, LI Pengcheng. The effect of large displacement caused by liquefaction on engineering and its research status[J]. Earthquake Resistance Engineering, 1997:21-26. (in Chinese)
[2] Hamada M, Yasuda S, Isoyama R, et al. Study on liquefaction induced permanent ground displacements[J]. Association for the Development of Earthquake Prediction, 1986:87.
[3] 刘恢先. 唐山大地震震害[M]. 北京:地震出版社, 1986. LIU Huixian. Tangshan Earthquake Damage[M]. Beijing:Seismological Press, 1986. (in Chinese)
[4] Chu D B, Stewart J P, Youd T L, et al. Liquefaction-induced lateral spreading in near-fault regions during the 1999 Chi-Chi, Taiwan earthquake[J]. Journal of Geotechnical and Geoenvironmental Engineering, 2006, 132(12):1549-1565.
[5] Bartlett S F, Youd T L. Empirical prediction of liquefaction-induced lateral spread[J]. Journal of Geotechnical Engineering, 1995, 121(4):316-329.
[6] Wang J, Rahman M S. A neural network model for liquefaction-induced horizontal ground displacement[J]. Soil Dynamics and Earthquake Engineering, 1999(18):555-568.
[7] 胡记磊. 基于贝叶斯网络的地震液化风险分析模型研究[D]. 大连:大连理工大学, 2016. HU Jilei. Study on the Risk Analysis model of Seismic Liquefaction Based on Bayesian Network[D]. Dalian:Dalian University of Technology, 2016. (in Chinese)
[8] Hamada M, Yasuda S, Isoyama R, et al. Study on liquefaction induced permanent ground displacement[R]. Association for the Development of Earthquake Prediction in Japan, Tokyo, 1986.
[9] 李程程, 曹振中, 李瑞山. 场地液化侧移等级判别标准及其可靠性分析[J]. 岩土工程学报, 2016, 38(9):1668-1677. LI Chengcheng, CAO Zhenzhong, LI Ruishan. Assessment criterion for level of liquefaction-induced lateral spread and its reliability analysis[J]. Chinese Journal of Geotechnical Engineering, 2016, 38(9):1668-1677. (in Chinese)
[10] Hu J L, Tang X W, Qiu JN. Assessment of seismic liquefaction potential based on Bayesian network constructed from domain knowledge and history data[J]. Soil Dynamics and Earthquake Engineering, 2016, 89:49-60.
[11] Iwasaki T. A practical method for assessing soil liquefaction potential based on case studies at various sites in Japan[J]. Proc Second Int Conf Microzonation Safer Construction Research Application, 1978(2):885-896.
[12] 罗爱宝. 梯度下降类和EM类迭代算法的并行化研究[D]. 南京:南京大学, 2012. LUO Aibao. Parallelization research on families of gradient descent and expectation maximization iterative algorithms[D]. Nanjing:Nanjing University, 2012. (in Chinese)
[13] Lauritzen S L. The EM algorithm for graphical association models with missing data[J]. Computational Statistics and Data Analysis, 1995, 19(2):191-201.
[14] 林成川. 921集集大地震霧峰地區土壤側潰[D]. 台湾. 国立中兴大学, 2002. LIN Chengchuan. Soil Lateral Spreading in the Area of Fog Peak in 921 Chi-chi Earthquake[D]. Taiwan. National Chung Hsing University, 2002. (in Chinese)

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备注/Memo

备注/Memo:
收稿日期:2018-09-02;改回日期:2018-10-17。
基金项目:国家自然科学基金青年科学基金项目(41702303)
作者简介:张政(1996-),男,硕士研究生,主要从事地震液化预测等方面研究.E-mail:zhangz@hust.edu.cn
通讯作者:胡记磊(1986-),男,博士,主要从事土动力学和地震液化预测等方面研究.E-mail:hujl@hust.edu.cn
更新日期/Last Update: 1900-01-01