Abstract
Displacements back analysis in soft pit excavation is a key issue for design. In this paper firstly the five-component soil model is presented to simulate mechanical process of soft soil, and the finite element code is developed. Secondly the model of displacement back analysis is set up. Thirdly the genetic algorithms is adopted to solve the model of displacement back analysis, and the code of displacement back analysis for soft pit excavation based on the genetic algorithms (DB-EV-GA) is developed. Lastly a case study is performed. Our main findings are: (1) The displacement of the pit engineering in soft soil increases with the increment of time. The five-component model can simulate the effect; (2) The displacement back analysis method based on the genetic algorithm presented in this paper is effective, and the calculation displacement data are near to the observational data in case study.
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References
Murphy, D.J., Clough, G.W., Woolworth, R.S.: Temporary excavation in Varved clay. Journal of the Geotechnical Engineering Division 101, 279–295 (1975)
Ukritchon, B., Whittle, A.J.: Undrained Stability of Braced Excavations in Clay. Journal of Geotechnical and Geoenvironmental Engineering 129, 738–755 (2003)
Yu, J.L., Gong, X.N.: Excavation deformation behavior study. China Journal of Civil Engineering 35, 86–90 (2002)
Gao, W.H., Yang, L.D., Shen, P.S.: Foundation Deformation Prediction with the surrounding environment. Chinese Journal of Rock Mechanics and Engineering 20, 555–559 (2001)
Zhao, T.B., Tan, Y.L., Liu, C.X.: Research on back-analysis of roadway displacement based on genetic algorithms. Rock and Soil Mechanics 25, 107–109 (2004)
Liu, X.S., Zhou, C.B., Zhang, L.J.: Application of neural network based on simulated annealing Gauss-Newton algorithm to seepage back analysis. Rock and Soil Mechanics 26, 404–409 (2005)
Cheng, T., Yan, K.Q., Dong, B.C.: Research of back analysis of geological examination based on ANN. Rock and Soil Mechanics 28, 807–811 (2007)
Furukawa, T.: An automated system for simulation and parameter identification of inelastic constitutive models. Comput. Methods Appl. Mech. Engrg. 191, 2235–2260 (2002)
Desai, C.S., Zaman, M.M.: Thin-Layer Element for Interfaces and Joints. International Journal for Numerical and Analytical Methods in Geomechanics 8, 19–43 (1984)
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Wang, Z., wang, J., Zhang, C., Du, S., Hao, Z. (2010). Displacements Back Analysis for Soft Pit Excavation Based on Genetic Algorithms. In: Cao, By., Wang, Gj., Guo, Sz., Chen, Sl. (eds) Fuzzy Information and Engineering 2010. Advances in Intelligent and Soft Computing, vol 78. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14880-4_84
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DOI: https://doi.org/10.1007/978-3-642-14880-4_84
Publisher Name: Springer, Berlin, Heidelberg
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