Identification of an equivalent model for granular soils by FEM/NMM/p-EMP hybrid system

• Autorzy: Pabisek E.
• Języki publikacji: EN

Abstrakty

EN

The application of FEM/NMM/p-EMP computational hybrid system in formulation of the Neural Material Model (NMM) for granular soils is presented. NMM is a Multi Layer Preceptron formulated ’on-line’. The cumulative algorithm of the autoprogressive method was implemented into the FEM program. The patterns for NMM training were generated in the rigid strip footing analysis. Pseudo-empirical equilibrium paths p-EMP for veri?cation of the NMM were computed by a FEM program for the elastic-plastic Drucker-Prager material model. The discussed inverse problem of NMM identi?cation is illustrated by two study cases of footing: 1) rigid strip footing on plane semispace, 2) inclined slope analysis. It was numerically proved that the NMM identi?ed in the ?rst study case can be successfully applied to the analysis of the latter one.

Słowa kluczowe

EN

artificial neural networks; neural material model; hybrid computational system; constitutive modelling

PL

sztuczne sieci neuronowe; neuronowy model materiału; hybrydowy system obliczeniowy; modelowanie konstytutywne

• Wydawca: Instytut Podstawowych Problemów Techniki PAN
• Czasopismo: Computer Assisted Mechanics and Engineering Sciences
• Rocznik: 2011
• Tom: Vol. 18, no. 4
• Strony: 283--290
• Opis fizyczny: Bibliogr. 10 poz., rys., tab., wykr.

Twórcy

autor

Pabisek E.

• Institute for Computational Civil Engineering Cracow University of Technology Warszawska 24, 31-155 Cracow, Poland,

Bibliografia

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