|
|||||
|
|
Inverse analysis techniques for parameter identification in simulation of excavation support systems |
|
| Authors: | C Rechea S Levasseur R Finno |
| Institution: | aSENER, Ingeniería y Sistemas, S.A. c/Severo Ochoa, 4 (P.T.M.), 28760 Tres Cantos, Madrid, Spain bUniversity Joseph Fourier – Grenoble I, Laboratory “Sols, Solides, Structures, Risques”, CNRS UMR 5521, B.P. Box 53, 38041 Grenoble Cedex 9, France cDepartment of Civil and Environmental Engineering, Northwestern University, Evanston, IL 60208, United States |
| Abstract: | Two numerical procedures are described that quantitatively identify a set of constitutive parameters that best represents observed ground movement data associated with deep excavations in urban environments. This inverse problem is solved by minimizing an objective (or error) function of the weighted least-squares type that contains the difference between observed and calculated ground displacements. The problem is solved with two different minimization algorithms, one based on a gradient method and the other on a genetic algorithm. The objective function is shown to be smooth with a unique solution. Both methods are applied to lateral movements from synthetic and real excavations to illustrate various aspects of the implementation of the methods. The advantages and disadvantages of each method applied to excavation problems are discussed. |
| Keywords: | Excavation Inverse problem Genetic algorithm Gradient method Objective function Parameter identification |
| 本文献已被 ScienceDirect 等数据库收录！ | |