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机构地区:[1]河海大学岩土力学与堤坝工程教育部重点实验室,江苏南京210098 [2]江苏省水利科学研究院,江苏扬州225002
出 处:《岩石力学与工程学报》2008年第A02期3686-3691,共6页Chinese Journal of Rock Mechanics and Engineering
摘 要:总结一般情况下滑动面应该满足的基本规律,这些规律在进行滑面优化时对临时产生的滑面起到约束作用。利用非线性有限元法得到坡内真实应力场,将模拟退火算法这一人工智能型非数值优化方法与边坡稳定的有限元方法相结合,探讨基于有限元分析方法的边坡最小安全系数及任意形状临界滑动面的搜索技术。针对临界滑面的搜索过程中,随机生成的初始滑面或试算滑面难以满足滑面几何约束条件这一缺陷,采用动态搜索域的概念,使变换过程局部化,计算效率大为提高。计算的结果表明:该算法找到全局最优解,并且真实再现某些情况下,圆形或其他非圆形式的临界滑动面。Based on the real stress field in soil slope obtained by nonlinear finite element method, the finite element technique for stability analysis of slopes is integrated with the simulated annealing method, which is artificial intelligence method. The searching technique of the minimum safety factor and the non-circular critical slip surface of slope is discussed. To resolve the limitation that the initial or trial slips can not accord with the constraint conditions in configuration during the process of searching critical slip surface, the conception of dynamic search domains is utilized which has the advantages of localized transform process and high efficiency. The test results demonstrate that this algorithm can pick out the global critical slip surface, and the circular or non-circular critical slip surface is reproduced as well.
分 类 号:P642.2[天文地球—工程地质学]
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