场地液化侧移等级判别标准及其可靠性分析

李程程; 曹振中; 李瑞山

doi:10.11779/CJGE201609014

场地液化侧移等级判别标准及其可靠性分析 English Version

地震工程与工程振动重点实验室,中国地震局工程力学研究所,黑龙江哈尔滨 150080

基金项目: 国家科技支撑计划项目（2015BAK17B01）; 中国地震局工程力学研究所基本科研业务费专项资助项目（2016A02）

详细信息

作者简介:
李程程(1987- ),女,博士,助理研究员,主要从事岩土地震工程研究。E-mail: lichengcheng113@126.com。

通讯作者:
曹振中，E-mail：iemczz@163.com

中图分类号: TU43；P642.2
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出版历程
- 收稿日期: 2015-07-19
- 发布日期: 2016-09-24

Assessment criterion for level of liquefaction-induced lateral spread and its reliability analysis

Key Laboratory of Earthquake Engineering and Engineering Vibration, Institute of Engineering Mechanics, CEA, Harbin 150080, China

摘要

摘要: 基于Youd等建立的液化侧移数据库,研究提出一种新的场地液化侧移等级预测方法和判别标准。研究了数据库中各参量对液化侧移的影响程度并从中筛选出主要影响参数,构建了液化侧移灾害等级分类决策树,提出了一套液化侧移等级判别标准LLSL（liquefaction lateral spread level）。通过实际震害中各参数对液化侧移影响趋势分析、分类决策树中各参数耦合性研究以及与MLR法的对比,验证了方法和标准的合理性和可靠性。研究结果表明：对液化侧移的主要影响参数包括峰值加速度、临空（缓坡）坡度、液化层厚度和细粒土含量,液化层平均粒径影响可以略去;临空情况下,参数影响排序和权重为临空坡度（0.343）、液化层细粒土含量（0.322）、液化层厚度（0.176）和峰值加速度（0.159）,缓坡情况下,排序为液化层细粒土含量（0.324）、液化层厚度（0.277）、缓坡坡度（0.214）和峰值加速度（0.185）;比较MLR法中各参数相互独立假设,LLSL考虑了各参数对液化侧移影响的耦合性,使整体回判成功率提高了6%,且对各液化侧移等级回判成功率表现较为均衡,克服了MLR法在轻微等级判别中成功率较低的弱点;提出的LLSL标准,可减少对钻孔的依赖,比MLR法更适于液化区划工作,且与中国现有灾害评估基础工作有很好衔接。文中所提出的方法和标准,可为场地液化侧移等级预测和液化区划技术中液化侧移等级判别提供技术支持。
- 液化侧移 /
- LLSL标准 /
- MLR /
- 可靠性分析
Abstract: An assessment criterion for the level of field liquefaction-induced lateral spread is created based on the liquefaction-induced lateral spread database built by Youd et al. The impact of various parameters on the level of lateral spread is studied, and the main factors are determined. A classification tree is constructed for the estimation of liquefaction-induced lateral spreads severity level (LLSL). The rationality and reliability of the criterion are verified through the analysis of changing trend and decoupling of influence factors for lateral spreads and compared with those of MLR based on the damage of actual earthquakes. The research results show that (1) The main influence factors including PGA, W_ff or S, T₁₅ and F₁₅, and the average mean grain size D50₁₅can be removed. The sort and impact weights of these influence factors for free face condition are W_ff(0.334), F₁₅ (0.322), T₁₅(0.176) and PGA (0.159); for gently sloping ground conditions, the results are F₁₅ (0.324), T₁₅(0.277), S (0.214) and PGA (0.185); (2) The verification results of the proposed method are 6% higher than those of MLR, because the decoupling is considered in CART, but the influence factors are assumed to be independent in MLR. The distribution of discriminant results is relatively homogeneous, and the low success problem of MLR for the low level hazard is overcome; (3) The new method has less dependency on borehole data than MLR and more applicable to the liquefaction zoning map, which is well-matched to the current damage assessments; (4) The proposed method and criterion may provide technical support for hierarchical prediction and division map of liquefaction-induced lateral spread.
- liquefaction-induced lateral spread /
- LLSL criterion /
- MLR /
- reliability analysis

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参考文献(23)

[1]	陈龙伟, 袁晓铭, 孙锐. 2011年新西兰Mw6.3地震液化及岩土震害评述[J]. 世界地震工程, 2013, 29(3): 1-9. (CHEN Long-wei, YUAN Xiao-ming, SUN Rui. Review of liquefaction phenomena and geotechnical damage in the 2011 New Zealand Mw6.3 earthquake[J]. World Earthquake Engineering, 2013, 29(3): 1-9. (in Chinese))
[2]	孙锐, 袁晓铭.第11届国际地动力学和地震工程会议及第13届世界地震工程会议砂土液化研究综述[J]. 世界地震工程, 2006, 22(1): 15-20. (SUN Rui, YUAN Xiao-ming, Summarization of earthquake liquefaction on 13th WCEEand11th SDEE[J]. World Earthquake Engineering, 2006, 22(1): 15-20. (in Chinese))
[3]	李兆焱, 王永志, 袁晓铭. 适用于新疆巴楚地区的CPT液化判别新方法[J]. 岩土工程学报, 2013, 35(增刊1): 140-145. (LI Zhao-yan, WANG Yong-zhi, YUAN Xiao-ming. New CPT-based prediction method for soil liquefaction applicable to Bachu region of Xinjiang[J]. Chinese Journal of Geotechnical Engineering, 2013, 35(S1): 140-145. (in Chinese))
[4]	ELGAMAL A W, YANG Z H. Numerical modeling of liquefaction一induced lateral spreading[C]// 12th World Conference on Earthquake Engineering. Auekland, 2000.
[5]	蔡晓光. 液化土层两种机制下侧向大变形分析[D]. 北京:中国地震局工程力学研究所, 2004. (CAI Xiao-guang. Liquefaction-induced lateral spreading of soil layer under two mechanisms[D]. Beijing: Institute of Engineering Mechanics, China Earthquake Administration, 2004. (in Chinese))
[6]	汪云龙, 袁晓铭, 殷建华. 基于光纤光栅传感技术的测量模型土体侧向变形一维分布的方法[J]. 岩土工程学报, 2013, 10: 1908-1913. (WANG Yun-long, YUAN Xiao-ming, YIN Jian-hua. A measurement method for 1-D distribution of lateral deformation of soils in shaking table tests using FBG technique[J]. Chinese Journal of Geotechnical Engineering, 2013, 10: 1908-1913. (in Chinese))
[7]	汪云龙, 王维铭, 袁晓铭. 基于光纤光栅技术测量模型土体内侧向位移的植入梁法[J]. 岩土工程学报, 2013, 35(增刊1): 181-185. (WANG Yun-long, WANG Wei-ming, YUAN Xiao-ming. Embedded-beam approach for measuring interior lateral displacement of soils using FBG technique[J]. Chinese Journal of Geotechnical Engineering, 2013, 35(S1): 181-185. (in Chinese))
[8]	HAMADA M, YASUDA S, ISOYAMA R, et al. Study on liquefaction-induced permanent ground displacement[J]. Report for the Association for the Development of Earthquake Prediction. 1986.
[9]	YASUDA S, NAGASE H, KIKU H, et al. Appropriate Countermeasures against Permanent Ground Displacement due to Liquefaction[C]// 10th World Conference on Earthquake Engineering. Madrid, 1992: 1471-1476.
[10]	刘汉龙, 周云东, 高玉峰. 砂土地震液化后大变形特性试验研究[J]. 岩土工程学报, 2002, 24(2): 142-146. (LIU Han-long, ZHOU Yun-dong, GAO Yu-feng. Study on the behavior of large ground displacement of sand due to seismic liquefaction[J]. Chinese Journal of Geotechnical Engineering, 2002, 24(2): 142-146. (in Chinese))
[11]	张建民. 地震液化后地基大变形的实用预测方法[C]// 第八届土力学及岩土工程学术会议论文集. 南京, 1999: 573-576. (ZHANG Jian-min. Practical prediction method for large foundation deformation after earthquake[C]// 8 th Soil Mechanics and Geotechnical Engineering Academic Conference. Nanjing, 1999: 573-576. (in Chinese))
[12]	BARTLETT S F, YOUD T L. Empirical analysis of horizontal ground displacement generated by liquefaction- induced lateral spread[C]// National Center for Earthquake Engineering Research Technical Report NCEER-92-0021, 1992, 114.
[13]	YOUD T L, HANSEN C M, BARTLETT S F. Revised MLR equations for predicting lateral spread displacement,” Proceedings[C]// 7th U S-Japan Workshop on Earthquake Resistant Design of Lifeline Facilities and Countermeasures Against Liquefaction, Seattle, Washington, Multidisciplinary Center for Earthquake Engineering Research Technical Report MCEER-99-0019, 1999: 99-114.
[14]	YOUD T L, HANSEN C M, BARTLETT S F. Revised MLR equations for prediction of lateral spread displacement[J]. Journal of Geotechnical and Geo-environmental Engineering, ASCE, 2002, 128(12): 1007-1017.
[15]	WANG J, RAHMAN M S. A neural network model for liquefaction-induced horizontal ground displacement[J]. Soil Dyn Earthq Eng, 1999, 18(8): 555-568.
[16]	CHIRU-DANZER M, JUANG C H, CHRISTIPHER R A, et al. Estimation of liquefaction induced horizontal displacements using artificial neural networks[J]. Can Geotech J, 2001, 38(1): 200-207.
[17]	GARCÍA S R, ROMO M P, BOTERO E. A neurofuzzy system to analyze liquefaction-induced lateral spread[J]. Soil Dynamics and Earthquake Engineering, 2008. 28(3): 169-180.
[18]	GOH A T C, ZHANG W G. An improvement to MLR model for predicting liquefaction-induced lateral spread using multivariate adaptive regression splines[J]. Engineering Geology, 2014, 170: 1-10.
[19]	Michael J. Olsen, Steven F. Bartlett and M.EERI, Lateral spread hazard mapping of the northern salt lake valley[J]. Utah, for aM7.0 Scenario Earthquake. Earthquake Spectra, 2007, 23(1): 95-113.
[20]	IDRISS I M. Response of soft soil sites during earthquakes[C]// Proceedings H Bolton Seed Memorial Symposium. California, 1990, 2: 273-290.
[21]	XU Bin. An empirical study of classification and regression tree and random forests[D]. New York: State University of New York at Stony Brook, 2004.
[22]	袁晓铭, 曹振中, 孙锐, 等. 汶川8.0级地震液化特征初步研究[J]. 岩石力学与工程学报, 2009, 28(6): 1288-1296. (YUAN Xiao-ming, CAO Zhen-zhong, SUN Rui, et al. Preliminary research on liquefaction characteristics of Wenchuan 8.0 Earthquake[J]. Chinese Journal of Rock Mechanics and Engineering, 2009, 28(6): 1288-1296. (in Chinese))
[23]	王维铭. 场地液化特征研究及液化影响因素评价[D]. 北京: 中国地震局工程力学研究所, 2013. (WANG Wei-ming. Study on liquefaction characteristics and liquefaction- influencing factors assessment. Institute of Engineering Mechanics[D]. Beijing: China Earthquake Administration, 2013. (in Chinese))