Study and Application of Slope Displacement Back Analysis Based on SVM-CTS

Abstract:

A new method of displacement back analysis, named SVM-CTS, was proposed based on support vector machine (SVM) and continuous tabu search (CTS). On the one hand, SVM-CTS used SVM to build the nonlinear mapping relationship between the measuring point displacements and rock and soil mechanics parameters of positive analysis based on the study samples. On the other hand, SVM-CTS used the global optimization performance of CTS to catch the optimal rock and soil mechanics parameters in the global space. The nonlinear mapping relationship built by SVM can fit and forecast the measuring point displacements under different parameters with high accuracy. CTS can prevent object function from trapping in local optimum and improve precision of back analysis. Case study shows that SVM-CTS can be well applied to the displacement back analysis in geotechnical engineering.

• Periodical: Applied Mechanics and Materials (Volumes 353-356)
• Pages: 163-166
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.353-356.163
• Online since: August 2013
• Authors: Fei Xu, Bo Qin Huang, Ke Wang
• Keywords: Continuous Tabu Search, Displacement Back Analysis, Rock, Soil Mechanics Parameters, Support Vector Machine (SVM)

References

[1] L.D. Yang: Theories of Back Analysis of Geo-technique Problems and Its Application, edit by Beijing: Science Press(1996). (In Chinese).

[2] B.D. Yonas, V. Slavco: Journal of Computing in Civil Engineering, Vol. 7(2001), pp.208-216.

[3] F. Glover: Computers and Operations Research, Vol. 13(1986), pp.533-549.

[4] H.B. Zhao, X.T. Feng: Chinese Journal of Rock Mechanics and Engineering, Vol. 22(2003), pp.1618-1622. (In Chinese).