A Nonlinear Optimization Technique of Tunnel Construction Based on DE and LSSVM
作者： Xing Jun , Jiang Annan , Wen Zhiwu , Qiu Jingping
DOI: 10.1155/2013/980154
关键词:
摘要: Tunnel construction is a dynamic controlling system with observability and controllability; the feedback analysis requires identifying geophysics parameters adjusting supporting parameters, both of them are optimisation problems. The paper proposed nonlinear optimization technique based on difference evolution arithmetic (DEA), least square support vector machine (LSSVM), three dimensional numerical simulation. This method employs optimal architecture trained by arithmetic, instead time-consuming finite element analysis. Firstly, simulation used to create training testing samples for LSSVM model construction. Then relationship between rock or anchoring displacement constructed machine. Finally, obtained DE arithmetic. overcomes conventional shortages expending too much computing time easily being limited in local solution. was verified applying it Dalian Metro China, influence ability algorithm investigated.
hindawi.com参考文章(19)
Jarmo Ilonen, Joni-Kristian Kamarainen, Jouni Lampinen, Differential Evolution Training Algorithm for Feed-Forward Neural Networks Neural Processing Letters. ,vol. 17, pp. 93- 105 ,(2003) , 10.1023/A:1022995128597
J.A.K. Suykens, J. Vandewalle, Least Squares Support Vector Machine Classifiers Neural Processing Letters. ,vol. 9, pp. 293- 300 ,(1999) , 10.1023/A:1018628609742
S. C. Lim, Chai Hok Eab, K. H. Mak, Ming Li, S. Y. Chen, Solving Linear Coupled Fractional Differential Equations by Direct Operational Method and Some Applications Mathematical Problems in Engineering. ,vol. 2012, pp. 1- 28 ,(2012) , 10.1155/2012/653939
Yu-Geng Tang, Gordon Tung-Chin Kung, Application of nonlinear optimization technique to back analyses of deep excavation Computers and Geotechnics. ,vol. 36, pp. 276- 290 ,(2009) , 10.1016/J.COMPGEO.2008.02.004
Xia-Ting Feng, Zhiqiang Zhang, Qian Sheng, Estimating mechanical rock mass parameters relating to the Three Gorges Project permanent shiplock using an intelligent displacement back analysis method International Journal of Rock Mechanics and Mining Sciences. ,vol. 37, pp. 1039- 1054 ,(2000) , 10.1016/S1365-1609(00)00035-6
A.N. Jiang, S.Y. Wang, S.L. Tang, Feedback analysis of tunnel construction using a hybrid arithmetic based on Support Vector Machine and Particle Swarm Optimisation Automation in Construction. ,vol. 20, pp. 482- 489 ,(2011) , 10.1016/J.AUTCON.2010.11.016
J. Pérez-Romero, C.S. Oteo, P. de la Fuente, Design and optimisation of the lining of a tunnel in the presence of expansive clay levels Tunnelling and Underground Space Technology. ,vol. 22, pp. 10- 22 ,(2007) , 10.1016/J.TUST.2006.02.002
S. Sakurai, K. Takeuchi, Back analysis of measured displacements of tunnels Rock Mechanics and Rock Engineering. ,vol. 16, pp. 173- 180 ,(1983) , 10.1007/BF01033278
Youssef M.A. Hashash, Séverine Levasseur, Abdolreza Osouli, Richard Finno, Yann Malecot, Comparison of two inverse analysis techniques for learning deep excavation response Computers and Geotechnics. ,vol. 37, pp. 323- 333 ,(2010) , 10.1016/J.COMPGEO.2009.11.005
H Mashimo, State of the road tunnel safety technology in Japan Tunnelling and Underground Space Technology. ,vol. 17, pp. 145- 152 ,(2002) , 10.1016/S0886-7798(02)00017-2