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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. DOI: 10.11779/CJGE201609014
引用本文: 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. DOI: 10.11779/CJGE201609014
LI Cheng-cheng, CAO Zhen-zhong, LI Rui-shan. Assessment criterion for level of liquefaction-induced lateral spread and its reliability analysis[J]. Chinese Journal of Geotechnical Engineering, 2016, 38(9): 1668-1677. DOI: 10.11779/CJGE201609014
Citation: LI Cheng-cheng, CAO Zhen-zhong, LI Rui-shan. Assessment criterion for level of liquefaction-induced lateral spread and its reliability analysis[J]. Chinese Journal of Geotechnical Engineering, 2016, 38(9): 1668-1677. DOI: 10.11779/CJGE201609014

场地液化侧移等级判别标准及其可靠性分析

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

  • 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。

     

    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, Wff or S, T15 and F15, and the average mean grain size D5015 can be removed. The sort and impact weights of these influence factors for free face condition are Wff (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.

     

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