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IDENTIFICATION OF GRANULAR SOILS STRENGTH AND STIFFNESS PARAMETERS BY MATCHING FINITE ELEMENT RESULTS TO PMT DATA

Authors :
Ramdane Bahar
Jean-Claude Dupla
Y. Abed
Dj. Amar Bouzid
Laboratoire Navier (navier umr 8205)
Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-École des Ponts ParisTech (ENPC)-Centre National de la Recherche Scientifique (CNRS)
Source :
International Journal of Computational Methods, International Journal of Computational Methods, World Scientific Publishing, 2014, 11 (02), pp.1342001-1342001. ⟨10.1142/s0219876213420012⟩
Publication Year :
2014
Publisher :
HAL CCSD, 2014.

Abstract

International audience; This paper describes an efficient methodology for the identification of soil parameters using the combination of the finite element method and the in situ pressuremeter test (PMT). The objective of the procedure applied here is to identify the parameters of generalized Prager model associated with the Drucker and Prager failure criterion from a pressuremeter expansion curve. The approach consists of minimizing the function representing the difference between the experimental curve and the curve obtained by integrating the model along the loading path in the in situ testing. First, both analytical expressions governing the problem of cavity expansion and those related to the finite element modeling are given in detail. Then, a Fortran computer program called "Press-Sim" along with the solution strategy are described and clearly explained. The influence of some model parameters as well as the probe geometry on the computed pressuremeter curves is examined. The paper finishes by presenting some identification examples drawn from real experimental tests for which the targeted parameters are compared with those of other experimental procedures. Results of comparison show a very good agreement.

Details

Language :
English
ISSN :
02198762
Database :
OpenAIRE
Journal :
International Journal of Computational Methods, International Journal of Computational Methods, World Scientific Publishing, 2014, 11 (02), pp.1342001-1342001. ⟨10.1142/s0219876213420012⟩
Accession number :
edsair.doi.dedup.....7be11cd79de99c897c583f851b0ebf62