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作 者:李佳[1] 戴妙林[1] 张胤[1] 马永志[1] 徐建强
机构地区:[1]河海大学水利水电学院,江苏南京210098 [2]中国水电顾问集团华东勘测设计院,浙江杭州310014
出 处:《水电能源科学》2014年第1期107-111,共5页Water Resources and Power
基 金:国家自然科学基金项目(51079044);水利部公益性行业科研专项(201001035);江苏省普通高校研究生科研创新计划(CXLX12_0252)
摘 要:利用FLAC3D软件及内嵌的FISH程序语言编制相应程序,实现每个单元弱化弹性模量的自动计算及计算模型力学参数的自动更新。根据各级开挖卸荷结束后的弹性模量计算值分析弱化弹性模量的分布规律,进而划分弱化弹性模量的等效分布区域。结合PSO改进的BP神经网络算法进行反分析计算,建立各区域等效弹性模量与监测点水平位移关系的网络模型,输入此级边坡开挖卸荷监测点水平位移值到训练好的网络中反演得到区域等效弹性模量。实例应用结果表明,本文方法的计算结果合理,且具有较高的精度,适用于卸荷岩体弹性模量的弱化研究。With FLAC:3D software and embedded programming language FISH, corresponding programs are prepared so as to realize the automatic calculation of each element's weakened elastic modulus and the calculation of automatic up- dating of model's mechanical parameters. According to the elastic modulus calculated after each excavation and unloa ding, the regularity of distribution of weakened elastic modulus is analyzed, and the equivalent distribution regions of weakened elastic modulus are divided. Combined with the back analysis and calculation with improved BP network algo- rithm based PSO, the network model about the relationship between regional weaken elastic modulus and displacements of monitored points are established. Based on the displacements of monitored points calculated by considering the weak ened elastic modulus of each element, the equivalent elastic modulus of equivalent weakened regions is obtained. The a nalysis results of a slope show that the proposed method is applicable to research on weakening of elastic modulus of un- loading rock mass as well as reasonable calculated results and high precision.
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