The static approach to evaluate the limit multiplier directly was rephrased using the Symmetric Galerkin Boundary Element Method (SGBEM) for multidomain type problems [1,2]. The present formulation couples SGBEM multidomain procedure with nonlinear optimization techniques, making use of the self-equilibrium stress equation [3-5]. This equation connects the stresses at the Gauss points of each substructure (bem-e) to plastic strains through a self-stress matrix computed in all the bem-elements of the discretized system. The analysis was performed by means of a conic quadratic optimization problem, in terms of discrete variables, and implemented using Karnak.sGbem code [6] coupled with MathLab. Finally, some numerical tests are shown and the limit multiplier values are compared with those available in the literature [4,8]. The applications show a very important computational advantage of this strategy which allows one to introduce a domain discretization only in the zones involved in plastic strain action and to leave the rest of the structure as elastic macroelements, therefore governed by few boundary variables.

Panzeca, T.; Cucco, F.; Parlavecchio, E.; Zito, L. (10-12 Luglio 2011).A combined approach of SGBEM and conic quadratic optimization for limit analysis.

A combined approach of SGBEM and conic quadratic optimization for limit analysis

PANZECA, Teotista;PARLAVECCHIO, Eugenia;ZITO, Liborio

Abstract

The static approach to evaluate the limit multiplier directly was rephrased using the Symmetric Galerkin Boundary Element Method (SGBEM) for multidomain type problems [1,2]. The present formulation couples SGBEM multidomain procedure with nonlinear optimization techniques, making use of the self-equilibrium stress equation [3-5]. This equation connects the stresses at the Gauss points of each substructure (bem-e) to plastic strains through a self-stress matrix computed in all the bem-elements of the discretized system. The analysis was performed by means of a conic quadratic optimization problem, in terms of discrete variables, and implemented using Karnak.sGbem code [6] coupled with MathLab. Finally, some numerical tests are shown and the limit multiplier values are compared with those available in the literature [4,8]. The applications show a very important computational advantage of this strategy which allows one to introduce a domain discretization only in the zones involved in plastic strain action and to leave the rest of the structure as elastic macroelements, therefore governed by few boundary variables.
SGBEM, multidomain, lower bound limit analysis, nonlinear programming
Panzeca, T.; Cucco, F.; Parlavecchio, E.; Zito, L. (10-12 Luglio 2011).A combined approach of SGBEM and conic quadratic optimization for limit analysis.
File in questo prodotto:
File Dimensione Formato  
BETEQ 2011.pdf

accesso aperto

Dimensione 188.21 kB
Formato Adobe PDF
188.21 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/64418
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact