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作 者:李忠[1,2] 丁盛环 叶帅华[1,2] LI Zhong;DING Sheng-huan;YE Shuai-hua(Key Laboratory of Disaster Prevention and Mitigation in Civil Engineering of Gansu Province, Lanzhou Univ. of Tech., Lanzhou 730050, China;Western Center of Disaster Mitigation in Civil Engineering of Ministry of Education, Lanzhou Univ. of Tech., Lanzhou 730050, China)
机构地区:[1]兰州理工大学甘肃省土木工程防灾减灾重点实验室,甘肃兰州730050 [2]兰州理工大学西部土木工程防灾减灾教育部工程研究中心,甘肃兰州730050
出 处:《兰州理工大学学报》2021年第2期127-131,共5页Journal of Lanzhou University of Technology
基 金:国家自然科学基金(51508256);甘肃省建设科技攻关计划项目(JK2015-5);兰州市科技发展计划项目(2015-3-131)。
摘 要:为了研究框架锚杆加固黄土边坡土体参数(黏聚力c、内摩擦角φ、重度γ)变异性对边坡可靠指标的影响,以极限平衡理论为基础,依托边坡工程实例,利用GeoStudio 2012有限元软件,建立加固边坡计算模型,结合Monte Carlo试验模拟完成以上分析过程.结果表明:当固定其中两个土体参数的变异系数,改变另一个参数的变异系数时,φ的变异系数对边坡可靠指标的影响最大,γ的变异系数对边坡可靠指标的影响最小;当固定其中一个参数的变异系数,使另外两个参数的变异系数同时变化时,内摩擦角φ和重度γ的变异系数同时变化时,对边坡可靠指标的影响最大,黏聚力c和重度γ的变异系数同时变化时对边坡可靠指标的影响最小.In order to study the effect of soil parameters such as cohesion force (c), internal friction angle (φ) and density of the soil (γ) on the reliability index of loess slope strengthened by frame anchors, based on the limit equilibrium theory, relying on the slope engineering example, using GeoStudio 2012 finite element software, the calculation model of reinforced slope is established, and the above analysis process is completed by Monte Carlo test simulation. The results show that when the coefficient of variation of two parameters is fixed and the coefficient of variation of the other parameter is changed, the coefficient of variation of φ has the greatest influence on the reliability index of the slope, and the coefficient of variation of γ has the least influence on the reliability index of the slope. When fixing the coefficient of variation of one of the parameters and the coefficient of variation of the other two parameters change simultaneously, the coefficient of variation of the internal friction angle φ and the density of the soil γ simultaneously has the greatest influence on the reliability index of the slope. The coefficient of cohesion force c and density of the soil γ have the least influence on the reliability index of the slope.
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