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| 基于Cauchy积分解法与遗传算法的随机位移反分析研究 | |
| 引用本文： | 焦春茂,赵春风,楼云,吕爱钟,石振明.基于Cauchy积分解法与遗传算法的随机位移反分析研究[J].岩土力学,2009,30(1):251-256. |
| 作者姓名： | 焦春茂 赵春风 楼云 吕爱钟 石振明 |
| 作者单位： | 1. 同济大学,岩土及地下工程教育部重点实验室,上海,200092;同济大学,地下建筑与工程系,上海,200092 2. 浙江省交通厅工程质量监督局,杭州,310004 3. 华北电力大学,水利水电工程系,北京,102206 |
| 基金项目： | 浙江省交通厅资助项目 |
| 摘 要： | 针对位移反分析的正算计算量大和全局最优解遗失问题，提出正算过程采用平面弹性复变方法中的Cauchy积分解法，优化方法选用遗传算法的随机位移反分析方法，并研究了位移观测噪声对识别结果的影响规律。实例应用表明，所提出的方法从根本解决了采用优化技术进行位移反分析的求解效率问题，具有较好的容错性能和全局搜索性能，且能够反映地应力场和实际岩体的不确定性。 |
| 关 键 词： | 位移反分析 岩石力学 地下工程 平面弹性复变方法 遗传算法 |
| 收稿时间： | 2007-09-14 |
Research on stochastic back analysis using of Cauchy integral method and genetic algorithm |
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| JIAO Chun-mao,ZHAO Chun-feng,LOU Yun,Lü Ai-zhong,SHI Zhen-ming.Research on stochastic back analysis using of Cauchy integral method and genetic algorithm[J].Rock and Soil Mechanics,2009,30(1):251-256. | |
| Authors: | JIAO Chun-mao ZHAO Chun-feng LOU Yun Lü Ai-zhong SHI Zhen-ming |
| Institution: | 1. Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education, Tongji University, Shanghai 200092, China; 2. Department of Geotechnical Engineering, Tongji University, Shanghai 200092, China; 3. Engineering Quality Supervision Station, Zhejiang Provincial, Department of Communications, Hangzhou 310009, China; 4. Department of Hydraulic and Hydropower Engineering, North China Electric Power University, Beijing 102206, China |
| Abstract: | Aiming at displacement two kinds of problems existing in back analysis, large amount of calculation and lost of global optimal solution, stochastic back analysis by using Cauchy integral method and genetic algorithm is presented, and the noise effect on identification results observing by displacement is studied. Engineering application indicates that the presented method has great fault-tolerance and global searching performances, it improves the solution efficiency basically and can reflect the uncertainties of ground stress field and engineering rock mass. |
| Keywords: | displacement back analysis rock mechanics underground engineering plane elastic complex variable method genetic algorithm |
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