锚杆加固岩质边坡的智能分析  

Intelligent Analysis of Rock Slope Reinforced with Anchors

作　　者：胡其志[1] 庄心善[1] 宋桂红[1] 

机构地区：[1]湖北工业大学土木工程与建筑学院,湖北武汉430068

出　　处：《湖北工业大学学报》2009年第4期1-4,共4页Journal of Hubei University of Technology

基　　金：国家自然科学基金(10772190)

摘　　要：通过对膨胀岩膨胀机理的分析,采用锚杆加固膨胀岩边坡,利用改进的遗传算法对考虑吸水量的膨胀岩本构模型进行参数智能识别,并运用有限元方法,选用Desai薄层单元模拟膨胀岩节理,对加锚膨胀岩边坡进行了数值模拟.结果表明:考虑吸水量的本构模型能更好反应膨胀岩工程特性;改进的遗传算法有效地解决了模型参数的不确定性,使得数值计算的结果更加可靠.Based on the analysis of the inflatable mechanism of expansive rocks, anchoring technology is applied to the reinforcement expansive soil slope and the improved genetic algorithm is employed to intelligently identify the constitutive model of expansive rocks considering their water absorption. Meanwhile, rock joints are simulated through Desai thin layer element by using the Finite Element Method, and numerical simulation of expansive rock slope reinforced with anchors is also made. The result indicates that the constitutive model of expansive rocks considering their water absorption can demonstrate the engineer- ing characteristics of expansive rocks much better. The achieved result also proves that improved genetic algorithm can effectively cope with the indefiniteness of model parameters, which enhances the reliabilityof calculation.

关 键 词：锚杆 膨胀岩边坡 遗传算法 参数识别 

分 类 号：TU457[建筑科学—岩土工程]