基于测点(线)量测优化布置的地下工程区间智能反分析方法
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摘要
地下工程反分析本质上是一个不确定性问题,区间分析用于不确定性问题的处理,具有简单适用的优点,但区间运算结果易于扩张是其主要缺陷。为此,本文基于地下工程区间有限元优化反演模型,突破传统的反分析模式,综合利用参数的可辨识性及测点(线)布置优化原则、智能算法等研究成果,提出了一种基于测点(线)量测优化布置的地下工程区间智能反分析方法。圆形隧道算例的研究表明,该方法是可行的。
The back analysis is essentially a problem of uncertainty in underground engineering, interval analysis has the advantage of simple application which is used to dealing with the uncertainty, but the main flaw is that the result of the operation is easy to expand. On basis of the interval finite element model, this paper broke the traditional anti-analysis mode and proposed a interval intelligent back analysis method based on the optimal measured arrangement of observation point(line) in underground engineering by use of research achievements about identifiability of inversion parameters, principles of the measured point(line) arrangement and intelligent algorithm. Circular tunnel study examples show that the method is feasible.
The back analysis is essentially a problem of uncertainty in underground engineering, interval analysis has the advantage of simple application which is used to dealing with the uncertainty, but the main flaw is that the result of the operation is easy to expand. On basis of the interval finite element model, this paper broke the traditional anti-analysis mode and proposed a interval intelligent back analysis method based on the optimal measured arrangement of observation point(line) in underground engineering by use of research achievements about identifiability of inversion parameters, principles of the measured point(line) arrangement and intelligent algorithm. Circular tunnel study examples show that the method is feasible.
引文
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[3]刘世君,徐卫亚,王红春.不确定性岩石力学参数的区间反分析[J].岩石力学与工程学报,2004,23(6):885-888(Liu Shijun,Xu Weiya,Wang Hongchun.Interval back analysis on uncertain parameters in rock mechanics[J].Chinese journal of rock mechanics and engineering,2004,23(6):885-888(in Chinese))
[4]王登刚,刘迎曦,李守巨,等.巷道围岩初始应力场和弹性模量的区间反演方法[J].岩石力学与工程学报,2002,21(3):305-308(Wang Denggang,Liu Yingxi,Li Shouju,et al.Interval back analysis on initial stresses and elastic modulus of surrounding rocks of tunnels[J].Chinese journal of rock mechanics and engineering,2002,21(3):305-308(in Chinese))
[5]王林.基于区间神经网络方法的初始地应力场的反分析[J].科技情报开发与经济,2009,19(31):128-130(Wang Lin.Back analysis on initial geostress field based on interval neural network[J].SCI-TECH information development&economy,2009,19(31):128-130(in Chinese))
[6]佘远国,沈成武.隧洞工程弹性参数反演的可辨识性及量测优化布置探讨[J].岩土力学,2010,31(11):3604-3612(She Yuanguo,Shen Chengwu.Discussion of identifiability and optimal measured arrangement for elastic back-analysis of parameters in underground tunnel engineering[J].Rock and soil mechanics,2010,31(11):3604-3612(in Chinese))
[7]佘远国.地下工程反分析量测优化布置原则及应用[J].煤炭学报,2011,36(增2):308-314(She Yuanguo.Principles of optimal measured arrangement and its application for back-analysis in underground engineering[J].Journal of China Coal Society,2011,36(supple 2):308-314(in Chinese))
[8]郭书祥,吕震宙.线性区间有限元静力控制方程的组合解法[J].计算力学学报,2003,20(1):34-38(Guo Shuxiang,Lv Zhenzhou.Advanced combinatorial methods for solving the governing equations of linear static interval finite element method[J].Chinese Journal of Computational Mechanics,2003,20(1):34-38(in Chinese))
[9]吕爱钟,蒋斌松.岩石力学反问题[M].北京:煤炭工业出版社,1998
[10]She Yuanguo,Shen Chengwu.Chaotic search-based adaptive immune genetic algorithm[C].Wang Shouyang,Yu Lean,Wen Fenghua,eds..Proc.of the second international conference on business intelligence and financial engineering.Beijing:IEEE Computer Society,2009:74-78
[11]She Yuanguo,Shen Chengwu.Hybrid hierarchic genetic algorithm based on the Gauss-Newton descend search for the RBF neuralnetwork[C].Jiang Yong,Yu Jun.Proc.of the third international conference on modeling and simulation.Wuxi:Word Academic Union,2010:419-426
[2]黄耀英,吴中如,顾璇.基于区间参数摄动法的黏弹性区间有限元研究[J].河海大学学报(自然科学版),2008,36(5):702-706(Huang Yaoying,Wu Zhongru,Gu Xuan.Study on viscoelastic problem based onthe interval parameter perturbation method[J].Journal of Hohai university(natural sciences),2008,36(5):702-706(in Chinese))
[3]刘世君,徐卫亚,王红春.不确定性岩石力学参数的区间反分析[J].岩石力学与工程学报,2004,23(6):885-888(Liu Shijun,Xu Weiya,Wang Hongchun.Interval back analysis on uncertain parameters in rock mechanics[J].Chinese journal of rock mechanics and engineering,2004,23(6):885-888(in Chinese))
[4]王登刚,刘迎曦,李守巨,等.巷道围岩初始应力场和弹性模量的区间反演方法[J].岩石力学与工程学报,2002,21(3):305-308(Wang Denggang,Liu Yingxi,Li Shouju,et al.Interval back analysis on initial stresses and elastic modulus of surrounding rocks of tunnels[J].Chinese journal of rock mechanics and engineering,2002,21(3):305-308(in Chinese))
[5]王林.基于区间神经网络方法的初始地应力场的反分析[J].科技情报开发与经济,2009,19(31):128-130(Wang Lin.Back analysis on initial geostress field based on interval neural network[J].SCI-TECH information development&economy,2009,19(31):128-130(in Chinese))
[6]佘远国,沈成武.隧洞工程弹性参数反演的可辨识性及量测优化布置探讨[J].岩土力学,2010,31(11):3604-3612(She Yuanguo,Shen Chengwu.Discussion of identifiability and optimal measured arrangement for elastic back-analysis of parameters in underground tunnel engineering[J].Rock and soil mechanics,2010,31(11):3604-3612(in Chinese))
[7]佘远国.地下工程反分析量测优化布置原则及应用[J].煤炭学报,2011,36(增2):308-314(She Yuanguo.Principles of optimal measured arrangement and its application for back-analysis in underground engineering[J].Journal of China Coal Society,2011,36(supple 2):308-314(in Chinese))
[8]郭书祥,吕震宙.线性区间有限元静力控制方程的组合解法[J].计算力学学报,2003,20(1):34-38(Guo Shuxiang,Lv Zhenzhou.Advanced combinatorial methods for solving the governing equations of linear static interval finite element method[J].Chinese Journal of Computational Mechanics,2003,20(1):34-38(in Chinese))
[9]吕爱钟,蒋斌松.岩石力学反问题[M].北京:煤炭工业出版社,1998
[10]She Yuanguo,Shen Chengwu.Chaotic search-based adaptive immune genetic algorithm[C].Wang Shouyang,Yu Lean,Wen Fenghua,eds..Proc.of the second international conference on business intelligence and financial engineering.Beijing:IEEE Computer Society,2009:74-78
[11]She Yuanguo,Shen Chengwu.Hybrid hierarchic genetic algorithm based on the Gauss-Newton descend search for the RBF neuralnetwork[C].Jiang Yong,Yu Jun.Proc.of the third international conference on modeling and simulation.Wuxi:Word Academic Union,2010:419-426