基于优化算法的岩体初始应力场随机识别方法  

RANDOM IDENTIFICATION APPROACH FOR INITIAL STRESS FIELD OF ROCK MASS WITH OPTIMALALGORITHM

作　　者：李守巨[1] 张军 刘迎曦[1] 姜锋[1] 

机构地区：[1]大连理工大学工业装备结构分析国家重点实验室,大连116024 [2]丰满发电厂,吉林132108

出　　处：《岩石力学与工程学报》2004年第23期4012-4016,共5页Chinese Journal of Rock Mechanics and Engineering

基　　金：国家自然科学基金(10072014)资助课题。

摘　　要：根据隧道开挖后其周围地应力变化的观测数据, 建立了基于优化算法的岩体初始应力场识别方法。将地应力场参数识别反问题转化为优化问题,然后采用 BFGS 方法求解。最优估计的岩体初始应力场是通过比较观测到的应力变化与预计值的差异而得到的,数值算例中考虑了观测误差对参数识别结果的影响。采用所建立的反演方法,地应力场的主应力的大小和方向可以被准确识别出来。数值计算结果表明,所建立的地应力场反演方法是十分有效的,并且具有良好的抗观测噪音的能力。The optimal algorithm is applied to determine the initial stress field of rock mass according to the stress changes around tunnel after excavation. The inverse problem of parameter identification is formulated as optimal problem, which is solved with BFGS algorithm. The best estimation of stress field is determined by comparing measured and predicted stress changes. The measurement errors are taken into account in the identification of the initial stress parameters of rock mass. The values and direction of the principal stresses can be accurately identified by using proposed inversion algorithm. The computational results show that the proposed identification algorithm is effective for determining the initial stress parameters and has strong ability against the measurement noises.

关 键 词：岩石力学 初始应力场 反问题 优化 应力变化 隧道 

分 类 号：TU452[建筑科学—岩土工程]