A reformulation of the static approach to evaluate directly the shakedown and limit multipliers by using the Symmetric Boundary Element Method for multidomain type problems [1,2] is shown. The present formulation utilizes the self-equilibrium stress equation [3-5] connecting the stresses at the Gauss points of each substructure (bem-e) to plastic strains through a stiffness matrix (self stress matrix) involving all the bem-elements in the discretized system. The numerical method proposed is a direct approach because it permits to evaluate the multiplier directly as lower bound through the static approach. The analysis has been performed as a costrained optimization problem, solved through mathematical programming methods. In this approach the optimization problem has been rephrased in the canonic form of a Convex Optimization, in terms of discrete variables, and implemented by using Karnak.sbem code [6] coupled with the MatLab.
Cucco, F., Terravecchia, S., Zito, L. (2012). Analisi limite ed a shakedown mediante il metodo simmetrico degli elementi di contorno. In XIX° Convegno Italiano di Meccanica Computazionale (GIMC 2012).
Analisi limite ed a shakedown mediante il metodo simmetrico degli elementi di contorno
TERRAVECCHIA, Silvio Salvatore;ZITO, Liborio
2012-01-01
Abstract
A reformulation of the static approach to evaluate directly the shakedown and limit multipliers by using the Symmetric Boundary Element Method for multidomain type problems [1,2] is shown. The present formulation utilizes the self-equilibrium stress equation [3-5] connecting the stresses at the Gauss points of each substructure (bem-e) to plastic strains through a stiffness matrix (self stress matrix) involving all the bem-elements in the discretized system. The numerical method proposed is a direct approach because it permits to evaluate the multiplier directly as lower bound through the static approach. The analysis has been performed as a costrained optimization problem, solved through mathematical programming methods. In this approach the optimization problem has been rephrased in the canonic form of a Convex Optimization, in terms of discrete variables, and implemented by using Karnak.sbem code [6] coupled with the MatLab.File | Dimensione | Formato | |
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