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Titolo:
Large scale structural optimization: Computational methods and optimization algorithms
Autore:
Papadrakakis, M; Lagaros, ND; Tsompanakis, Y; Plevris, V;
Indirizzi:
Natl Tech Univ Athens, Inst Struct Anal & Seism Res, Athens 15780, Greece Natl Tech Univ Athens Athens Greece 15780 eism Res, Athens 15780, Greece
Titolo Testata:
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
fascicolo: 3, volume: 8, anno: 2001,
pagine: 239 - 301
SICI:
1134-3060(2001)8:3<239:LSSOCM>2.0.ZU;2-G
Fonte:
ISI
Lingua:
ENG
Soggetto:
NEURAL NETWORKS; EVOLUTION STRATEGIES; OPTIMAL-DESIGN; IMPLEMENTATION; DYNAMICS;
Tipo documento:
Review
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
93
Recensione:
Indirizzi per estratti:
Indirizzo: Papadrakakis, M Natl Tech Univ Athens, Inst Struct Anal & Seism Res, Zografou Campus, Athens 15780, Greece Natl Tech Univ Athens Zografou Campus Athens Greece 15780
Citazione:
M. Papadrakakis et al., "Large scale structural optimization: Computational methods and optimization algorithms", ARCH COMP M, 8(3), 2001, pp. 239-301

Abstract

The objective of this paper is to investigate the efficiency of various optimization methods based on mathematical programming and evolutionary algorithms for solving structural optimization problems under static and seismicloading conditions. Particular emphasis is given on modified versions of the basic evolutionary algorithms aiming at improving the performance of theoptimization procedure. Modified versions of both genetic algorithms and evolution strategies combined with mathematical programming methods to form hybrid methodologies are also tested and compared and proved particularly promising. Furthermore, the structural analysis phase is replaced by a neural network prediction for the computation of the necessary data required by the evolutionary algorithms. Advanced domain decomposition techniques particularly tailored for parallel solution of large-scale sensitivity analysis problems are also implemented. The efficiency of a rigorous approach for treating seismic loading is investigated and compared with a simplified dynamic analysis adopted by seismic codes in the framework of finding the optimum design of structures with minimum weight. In this context a number of accelerograms are produced from the elastic design response spectrum of the region. These accelerograms constitute the multiple loading conditions under which the structures are optimally designed. The numerical tests presented demonstrate the computational advantages of the discussed methods, which become more pronounced in large-scale optimization problems.

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Documento generato il 29/03/20 alle ore 11:42:23