Displacements back analysis for soft pit excavation based on genetic algorithms

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. © 2010 Springer-Verlag Berlin Heidelberg.