Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/54596
Título: Structural robust design optimization of steel frames with engineering knowledge-based variance-reduction simulation
Autores/as: Greiner, David 
Emperador, José M. 
Galván, Blas
Winter, Gabriel 
Clasificación UNESCO: 3313 Tecnología e ingeniería mecánicas
Fecha de publicación: 2010
Conferencia: European Conference of Chemical Engineering, ECCE'10, European Conference of Civil Engineering, ECCIE'10, European Conference of Mechanical Engineering, ECME'10, European Conference of Control, ECC'10 
Resumen: Structural frames robust optimum design under uncertain loads is handled simultaneously minimizing the constrained mass (adding structural mass and constraint average distribution), as well as the constraint violation distribution standard deviation, using the non-dominated sorting genetic algorithm NSGA-II. The consideration of external loads as random variables is handled by the use of Monte-Carlo simulations for each structural candidate solution. A variance-reduction inspired simulation procedure based in engineering design knowledge is proposed and applied in a test case, allowing a high computational cost reduction without harming the non-dominated front quality. Results obtain a solution set that allow selecting minimum mass optimum designs and maximum robustness for external load uncertainty.
URI: http://hdl.handle.net/10553/54596
ISBN: 9789604742516
Fuente: European Conference of Chemical Engineering, ECCE'10, European Conference of Civil Engineering, ECCIE'10, European Conference of Mechanical Engineering, ECME'10, European Conference of Control, ECC'10, p. 13-18
Colección:Actas de congresos
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