A new approach for the Reliability Based Design Optimization

The purpose of this paper is to present a new Reliability Based Design Optimization (RBDO) method. This one consists in safety factors derived from Optimum Safety Factors (OSF) method which is coupled with Particle Swarm Optimization (PSO). Such method eliminates the employ of reliability analysis in RBDO. The objective of this optimization process is to reduce the computational time comparing with classical RBDO process. The illustrative study presented in this paper shows that the coupling of Optimum Safety Factors method with evolutionary algorithm performs the RBDO of a mathematical model.

[1]  Carlos Alberto Conceição António,et al.  A hierarchical genetic algorithm with age structure for multimodal optimal design of hybrid composites , 2006 .

[2]  Ren-Jye Yang,et al.  Experience with approximate reliability-based optimization methods II: an exhaust system problem , 2005 .

[3]  Abderrahmane Habbal,et al.  A New Accelerated Multi-objective Particle Swarm Algorithm. Applications to Truss Topology Optimization , 2013 .

[4]  Niels Olhoff,et al.  Extension of optimum safety factor method to nonlinear reliability-based design optimization , 2007 .

[5]  N. Olhoff,et al.  Optimum values of structural safety factors for a predefined reliability level with extension to multiple limit states , 2004 .

[6]  Xiaoping Du,et al.  Sequential Optimization and Reliability Assessment Method for Efficient Probabilistic Design , 2004, DAC 2002.

[7]  Ren-Jye Yang,et al.  Experience with approximate reliability-based optimization methods , 2003 .

[8]  A. El-Hami,et al.  Reliability-based design optimization of shank chisel plough using optimum safety factor strategy , 2014 .

[9]  Alaa Chateauneuf,et al.  Benchmark study of numerical methods for reliability-based design optimization , 2010 .

[10]  Lei Jiang,et al.  A sequential approximate programming strategy for performance-measure-based probabilistic structural design optimization , 2008 .

[11]  Ping Yi,et al.  Further study on efficiency of sequential approximate programming for probabilistic structural design optimization , 2008 .

[12]  L. Watson,et al.  An inverse-measure-based unilevel architecture for reliability-based design optimization , 2007 .