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工程科学与技术:2014,46(3):23-30
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参数特性及分布形式对边坡稳定可靠性的影响分析
(1.山地城镇建设与新技术教育部重点实验室(重庆大学);2.机械工业第三设计研究院;3.重庆市排水有限公司)
InfluenceAnalysisofCharacteristicsandDistributionTypesofSoilParameters onSlopeReliability
(1.KeyLab.ofNewTechnol.forConstructionofCitiesinMountainArea(ChongqingUniv.),MinistryofEducation;2.ChinaThirdDesignandResearchInst.ofMachineryIndustrial;3.ChongqingDrainageCo.,Ltd.)
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投稿时间:2013-09-23    修订日期:2014-02-27
中文摘要: 土性参数的变异性及其分布形式对边坡稳定可靠性影响较大,而目前对此研究不足。基于概率统计理论研究了极限状态方程、土性参数变异性及其分布形式对边坡稳定可靠性的影响,进行了相关参数敏感性分析,比较了概率可靠度与非概率可靠度对可靠指标的计算差异。研究结果表明:在基于概率的边坡稳定性分析中,简化Bishop法比瑞典条分法更合理;当参数分布形式无法准确描述时可保守假设参数c、φ分别服从对数正态分布和学生-T分布。非概率可靠度分析方法能简单有效地解决参数样本少、分布形式难于确定的问题,是概率可靠度分析方法的有效补充。
Abstract:The characteristics and distribution types of soil parameters have great influence on the reliability of slope stability.However,this problem is not studied sufficiently in the past.In the present paper,the probabilistic methods of the slope reliability were used,and the influence of the limit state equation,variability and distribution types of soil parameters to the slope reliability were studied.The difference between the reliability index calculated by the probabilistic and non-probabilistic reliability method was compared. The results of the probability-based slope stability analysis showed that the simplified Bishop method is more rational than the Sweden slice method.The lognormal distribution function for soil parameter cand student-T distribution function for soil parameter φwere suggested to the situation with rare samples and the distribution function of the soil parameters is difficult to determine.The non-probabilistic reliability analysis method can be used and served as an effective complement to the probabilistic methods.
文章编号:201301183     中图分类号:    文献标志码:
基金项目:国家重大科技专项资助项目(2008ZX07315-001-1)
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黄景华,陈朝晖,莫玻,刘石虎,叶遇春.参数特性及分布形式对边坡稳定可靠性的影响分析[J].工程科学与技术,2014,46(3):23-30.
Huang Jinghua,Chen Zhaohui,Mo Bo,Liu Shihu,Ye Yuchun.InfluenceAnalysisofCharacteristicsandDistributionTypesofSoilParameters onSlopeReliability[J].Advanced Engineering Sciences,2014,46(3):23-30.