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作 者:仉文岗 王琦[2] 陈福勇 陈龙龙 王鲁琦 王林 张艳梅 王玉琦[5] 朱星 ZHANG Wen-gang;WANG Qi;CHEN Fu-yong;CHEN Long-long;WANG Lu-qi;WANG Lin;ZHANG Yan-mei;WANG Yu-qi;ZHU Xing(Key Laboratory of New Technology for Construction of Cities in Mountain Area,Chongqing University,Chongqing 400045,China;School of Civil Engineering,Chongqing University,Chongqing 400045,China;National Joint Engineering Research Center of Geohazards Prevention in the Reservoir Areas,Chongqing University,Chongqing 400045,China;College of Aerospace Engineering,Chongqing University,Chongqing 400044,China;China Railway 19th Bureau Group Sixth Engineering Co.Ltd,Wuxi,Jiangsu 214028,China;State Key Laboratory of Geohazard Prevention and Geoenvironment Protection,Chengdu University of Technology,Chengdu,Sichuan 610059,China)
机构地区:[1]重庆大学山地城镇建设与新技术教育部重点实验室,重庆400045 [2]重庆大学土木工程学院,重庆400045 [3]重庆大学库区环境地质灾害防治国家地方联合工程研究中心,重庆400045 [4]重庆大学航天航空学院,重庆400044 [5]中铁十九局集团第六工程有限公司,江苏无锡214028 [6]成都理工大学地质灾害防治与地质环境保护国家重点实验室,四川成都610059
出 处:《岩土力学》2021年第11期3157-3168,共12页Rock and Soil Mechanics
基 金:国家重点研发计划(No.2019YFC1509605);国家留学基金资助项目(No.201906050026);国家自然科学基金项目(No.51778092)。
摘 要:在边坡稳定可靠度分析中,通常采用确定性分析方法计算安全系数从而衡量边坡的稳定性,但传统的确定性分析方法无法充分考虑以及描述岩体天然存在的空间变异性,而导致对边坡的失效概率计算不够准确。基于Hoek-Brown准则和随机有限差分法(RFDM),将单轴抗压强度σci和完整岩石材料常数mi视为随机场变量,地质强度指标GSI视为随机变量,开展考虑岩体参数空间变异性的抗滑桩加固前后边坡可靠度分析和桩体随机响应研究。结果表明,岩体参数的空间变异性对边坡的失效概率及抗滑桩响应有显著影响,忽略岩体参数的空间变异性将高估边坡的失效概率和抗滑桩体的最大弯矩均值,同时将低估桩顶位移均值。研究结果可为抗滑桩加固边坡工程的可靠度分析与优化设计提供技术参考。In the reliability analysis of slope stability, the deterministic analysis method is usually used to calculate the safety factor to evaluate the stability of slope. However, the inherent spatial variability of rock mass properties cannot be considered and described adequately in traditional deterministic method, resulting in the inaccurate calculation of slope failure probability. Based on Hoek-Brown criterion and random finite difference method(RFDM), the reliability analysis of slope stability and random response of pile are discussed in this paper considering spatial variability of rock mass. The uniaxial compressive strength σci and material constant for the intact rock mi are regarded as random field variables and geological strength index GSI is assumed to be a random variable. The results show that the spatial variability of rock mass parameters has a significant effect on slope failure probability and pile response. Ignoring the spatial variability of rock mass parameters will overestimate slope failure probability and the mean value of the maximum bending moment of anti-slide pile, and underestimate the mean value of displacement at pile head. The results can provide design guidance for slope reinforcement as well as layout optimization of anti-sliding piles.
关 键 词:边坡可靠度 空间变异性 HOEK-BROWN准则 随机有限差分法(RFDM) 随机响应
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