利用神经网络的反馈分析方法及其在地下厂房中的应用

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (445 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract The feedback analysis of underground powerhouse caverns excavation of large-scale hydropower stations attracts more and more attention recently. The effective feedback analysis method is very crucial to such problem. A direct solution scheme based on artificial neural network(ANN) is suggested considering that the feedback analysis is virtually a constrained optimization problem. It mainly consists of analyzing the structure numerically to build the constraints and obtaining the input parameters by ANN to fulfill the objective function. The steps of this method are also illustrated in detail，from which can find that the method is simple but universal. The ANN based feedback analysis method can avoid the deficiency of the traditional mathematical programming and improve the effectiveness and the convergence of feedback analysis. Taking the underground powerhouse caverns excavation of Xiluodu hydropower station in China for example，the fast Lagrangian analysis of continua，FLAC3D，is used to establish the ANN based feedback analysis system. The feedback analysis with the monitoring deformation data during excavation is conducted. The surrounding rock displacements obtained by feedback analysis agree with the measured displacements. The predicted deformations and stresses of caverns and the loads on the supporting structures in the next excavation are also reasonable. These not only help to evaluate the stability of the powerhouse caverns of Xiluodu hydropower station but also show that the method proposed is valid and applicable for complex monitoring feedback analysis problems；and the method may get extensive application in engineering.

Key words： numerical analysis underground powerhouse feedback analysis neural network support vector machine

Received: 12 February 2010

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors

Cite this article:

URL:

https://rockmech.whrsm.ac.cn/EN/Y2010/V29/I11/2211

[1] 潘家铮. 岩石力学与反馈设计[J]. 水电站设计，1994，10(3)：3–10.(PAN Jiazheng. Rock mechanics and feedback design[J]. Design of Hydroelectric Power Station，1994，10(3)：3–10.(in Chinese)) [2] 江权，侯靖，冯夏庭，等. 锦屏二级水电站地下厂房围岩局部不稳定问题的实时动态反馈分析与工程调控研究[J]. 岩石力学与工程学报，2008，27(9)：1 899–1 907.(JIANG Quan，HOU Jing，FENG Xiating，et al. Dynamic feedback analysis and engineering control of surrounding rock local instability in underground powerhouse of Jinping II hydropower station[J]. Chinese Journal of Rock Mechanics and Engineering，2008，27(9)：1 899–1 907.(in Chinese)) [3] 李沃钊，李仲奎. 监测反馈分析在二滩地下厂房施工中的应用[J]. 水电站设计，1999，15(1)：66–72.(LI Wozhao，LI Zhongkui. Application of feedback analysis in construction of Ertan underground powerhouse[J]. Design of Hydroelectric Power Station，1999，15(1)：66–72.(in Chinese)) [4] 朱维申，朱家桥，代冠一，等. 考虑时空效应的地下洞室变形观测及反分析[J]. 岩石力学与工程学报，1989，8(4)：346–353.(ZHU Weishen，ZHU Jiaqiao，DAI Guanyi，et al. Some practical cases of back analysis of underground openings deformability concerning effects of time and space[J]. Chinese Journal of Rock Mechanics and Engineering，1989，8(4)：346–353.(in Chinese)) [5] 王芝银，李云鹏. 地下工程位移反分析法及程序[M]. 西安：陕西科学技术出版社，1993.(WANG Zhiyin，LI Yunpeng. Displacement Back analysis method and procedure in underground engineering[M]. Xi¢an：Shaanxi Science and Technology Press，1993.(in Chinese)) [6] GIODA G，MAIER G. Direct search solution of an inverse problem in elasto-plasticity：identification of cohesion，friction angle and in-situ stress by pressure tunnel tests[J]. International Journal for Numerical Methods in Engineering，1980，15(12)：1 823–1 848. [7] CRISTIANINI N，SHAWE-TAYLOR J. An introduction to support vector machines and other kernel-based learning methods[M]. New York：Cambridge University Press，2000. [8] 冯夏庭，周辉，李邵军，等. 岩石力学与工程综合集成智能反馈分析方法及应用[J]. 岩石力学与工程学报，2007，26(9)：1 737– 1 744.(FENG Xiating，ZHOU Hui，LI Shaojun，et al. Integrated intelligent feedback analysis of rock mechanics and engineering problems and its applications[J]. Chinese Journal of Rock Mechanics and Engineering，2007，26(9)：1 737–1 744.(in Chinese)) [9] 张明. 结构可靠度分析——方法与程序[M]. 北京：科学出版社，2009.(ZHANG Ming. Structural reliability analysis—methods and procedures[M]. Beijing：Science Press，2009.(in Chinese)) [10] 冯夏庭. 智能岩石力学导论[M]. 北京：科学出版社，2000.(FENG Xiating. Introduction to intelligent rock mechanics[M]. Beijing：Science Press，2000.(in Chinese)) [11] ZHANG Ming，CHEN Liang，LI Zhongkui. Artificial neural network- based feedback analysis of the caverns excavation of underground hydropower plants[C]// Proceedings of the International Symposium on Rock Mechanics：Rock Characterization，Modeling and Engineering Design Methods. [S.l.]：[s.n.]，2009：166. [12] 姜谙男. 复杂条件下大型洞室群施工反馈分析集成智能系统研究[J]. 岩土力学，2006，27(增)：230–234.(JIANG Annan. Research on integration intelligent system of feedback analysis for large cavern group under complicated conditions[J]. Rock and Soil Mechanics，2006，27(Supp.)：230–234.(in Chinese)) [13] 韩荣荣，张建海，张肖，等. 溪洛渡地下厂房开挖反馈计算及预测研究[J]. 山东大学学报(工学版)，2009，39(4)：140–144.(HAN Rongrong，ZHANG Jianhai，ZHANG Xiao，et al. Study of prediction on feedback calculation of excavated monitor to the underground powerhouse of Xiluodu[J]. Journal of Shandong University(Engineering Science)，2009，39(4)：140–144.(in Chinese)) [14] 张明，孙思奥，李仲奎. 地下厂房布置优化及施工过程的显式有限差分法数值模拟[J]. 岩石力学与工程学报，2008，27(增2)： 3 760–3 767.(ZHANG Ming，SUN Siao，LI Zhongkui. Numerical simulations of layout optimization and construction process of underground powerhouse with explicit finite difference method[J]. Chinese Journal of Rock Mechanics and Engineering，2008，27(Supp.2)：3 760–3 767.(in Chinese)) [15] 李仲奎，戴荣，姜逸明. FLAC3D分析中的初始应力场生成及在大型地下洞室群计算中的应用[J]. 岩石力学与工程学报，2002，21(增2)：2 387–2 392.(LI Zhongkui，DAI Rong，JIANG Yiming. Improvement of the generation of the initial stress field by using FLAC3D and application in a huge underground cavern group[J]. Chinese Journal of Rock Mechanics and Engineering，2002，21(Supp.2)：2 387–2 392.(in Chinese))