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A benchmark study on identification of inelastic parameters based on deep drawing processes using pso – nelder mead hybrid approach
dc.contributor.author | Vaz Jr., M. |
dc.contributor.author | Luersen, M. A. |
dc.contributor.author | Muñoz-Rojas, P. A. |
dc.contributor.author | Bertoti, E. |
dc.contributor.author | Trentin, R.G. |
dc.date.accessioned | 2020-03-30T11:20:24Z |
dc.date.available | 2020-03-30T11:20:24Z |
dc.date.issued | 2013 |
dc.identifier.isbn | 978-84-941531-5-0 |
dc.identifier.uri | http://hdl.handle.net/2117/182241 |
dc.description.abstract | Optimization techniques have been increasingly used to identification of inelastic material parameters owing to their generality. Development of robust techniques to solving this class of inverse problems has been a challenge to researchers mainly due to the nonlinear character of the problem and behaviour of the objective function. Within this framework, this work discusses application of Particle Swarm Optimization (PSO) and a PSO – Nelder Mead hybrid approach to identification of inelastic parameters based on a benchmark solution of the deep drawing process. |
dc.format.extent | 11 p. |
dc.language.iso | eng |
dc.publisher | CIMNE |
dc.rights | Open Access |
dc.subject | Àrees temàtiques de la UPC::Matemàtiques i estadística::Anàlisi numèrica::Mètodes en elements finits |
dc.subject.lcsh | Finite element method |
dc.subject.lcsh | Plasticity -- Mathematical models |
dc.subject.lcsh | Plasticity |
dc.subject.other | Parameter Identification, PSO, Nelder-Mead |
dc.title | A benchmark study on identification of inelastic parameters based on deep drawing processes using pso – nelder mead hybrid approach |
dc.type | Conference report |
dc.subject.lemac | Elements finits, Mètode dels |
dc.subject.lemac | Plasticitat -- Models matemàtics |
dc.subject.lemac | Plasticitat |
dc.rights.access | Open Access |
local.citation.contributor | COMPLAS XII |
local.citation.publicationName | COMPLAS XII : proceedings of the XII International Conference on Computational Plasticity : fundamentals and applications |
local.citation.startingPage | 153 |
local.citation.endingPage | 163 |