An optimization procedure for the soil behavior identification using pressuremeter results

Abstract The soil parameters identification procedure is usually a trade-off between sophisticated soil model behaviour and the large number of parameters to identify. Such procedure that can accomplish both of these objectives is highly desirable, but also difficult. This paper presents a methodolo...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autor principal: Younes Abed
Formato: article
Lenguaje:EN
Publicado: SpringerOpen 2021
Materias:
Acceso en línea:https://doaj.org/article/f9970fd94f154d168f3bfa6f4dd808ef
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:f9970fd94f154d168f3bfa6f4dd808ef
record_format dspace
spelling oai:doaj.org-article:f9970fd94f154d168f3bfa6f4dd808ef2021-11-28T12:27:57ZAn optimization procedure for the soil behavior identification using pressuremeter results10.1186/s40703-021-00160-52092-91962198-2783https://doaj.org/article/f9970fd94f154d168f3bfa6f4dd808ef2021-11-01T00:00:00Zhttps://doi.org/10.1186/s40703-021-00160-5https://doaj.org/toc/2092-9196https://doaj.org/toc/2198-2783Abstract The soil parameters identification procedure is usually a trade-off between sophisticated soil model behaviour and the large number of parameters to identify. Such procedure that can accomplish both of these objectives is highly desirable, but also difficult. This paper presents a methodology for identifying soil parameters that takes into account different constitutive equations. For identifying the generalized Prager model parameters, associated to the Drucker and Prager failure criterion, using an in-situ pressuremeter curve, we have proposed a procedure that is based on an approach of inverse analysis. This approach involves the minimizing the function representing the area between the experimental curve and the simulated curve, obtained by fit in the model along the in-situ loading path. A comparative study between two optimization processes is proposed. The first is based on the technique of the simplex by Nelder and Mead, while the second is based on the decomposition of the pressuremeter curve in three distinct areas. After a brief description of an existing computer program called Press-Sim, which has been written in Fortran for analyzing a cavity expansion using the finite element method, a short explanation is given about the two optimization procedures considered in this article. Then, for a chosen site where soil strength parameters are measured, the comparative study has been performed for both methods at four different depths. For the determination of the angle of friction, the two procedures yield very close values and are in a good agreement with that given by the triaxial test, while for the cohesion, they both diverge from each other on both sides of the value measured by the trial test.Younes AbedSpringerOpenarticlePressuremeter testFinite element methodCavity expansionSimplex optimizationCohesive soilInverse analysisHydraulic engineeringTC1-978ENInternational Journal of Geo-Engineering, Vol 12, Iss 1, Pp 1-15 (2021)
institution DOAJ
collection DOAJ
language EN
topic Pressuremeter test
Finite element method
Cavity expansion
Simplex optimization
Cohesive soil
Inverse analysis
Hydraulic engineering
TC1-978
spellingShingle Pressuremeter test
Finite element method
Cavity expansion
Simplex optimization
Cohesive soil
Inverse analysis
Hydraulic engineering
TC1-978
Younes Abed
An optimization procedure for the soil behavior identification using pressuremeter results
description Abstract The soil parameters identification procedure is usually a trade-off between sophisticated soil model behaviour and the large number of parameters to identify. Such procedure that can accomplish both of these objectives is highly desirable, but also difficult. This paper presents a methodology for identifying soil parameters that takes into account different constitutive equations. For identifying the generalized Prager model parameters, associated to the Drucker and Prager failure criterion, using an in-situ pressuremeter curve, we have proposed a procedure that is based on an approach of inverse analysis. This approach involves the minimizing the function representing the area between the experimental curve and the simulated curve, obtained by fit in the model along the in-situ loading path. A comparative study between two optimization processes is proposed. The first is based on the technique of the simplex by Nelder and Mead, while the second is based on the decomposition of the pressuremeter curve in three distinct areas. After a brief description of an existing computer program called Press-Sim, which has been written in Fortran for analyzing a cavity expansion using the finite element method, a short explanation is given about the two optimization procedures considered in this article. Then, for a chosen site where soil strength parameters are measured, the comparative study has been performed for both methods at four different depths. For the determination of the angle of friction, the two procedures yield very close values and are in a good agreement with that given by the triaxial test, while for the cohesion, they both diverge from each other on both sides of the value measured by the trial test.
format article
author Younes Abed
author_facet Younes Abed
author_sort Younes Abed
title An optimization procedure for the soil behavior identification using pressuremeter results
title_short An optimization procedure for the soil behavior identification using pressuremeter results
title_full An optimization procedure for the soil behavior identification using pressuremeter results
title_fullStr An optimization procedure for the soil behavior identification using pressuremeter results
title_full_unstemmed An optimization procedure for the soil behavior identification using pressuremeter results
title_sort optimization procedure for the soil behavior identification using pressuremeter results
publisher SpringerOpen
publishDate 2021
url https://doaj.org/article/f9970fd94f154d168f3bfa6f4dd808ef
work_keys_str_mv AT younesabed anoptimizationprocedureforthesoilbehavioridentificationusingpressuremeterresults
AT younesabed optimizationprocedureforthesoilbehavioridentificationusingpressuremeterresults
_version_ 1718407991811637248