New Approach for System Reliability-Based Design Optimization

An efficient approach for reliability-based design optimization (RBDO) of series systems is presented. A modified formulation of the RBDO problem is employed in which the reliabilities of the failure modes of a system are included in the set of the design variables. This allows for an optimal apportionment of the reliability of a system among its failure modes. A sequential optimization and reliability assessment method is used to efficiently determine the optimum design. Here, the constraints on the reliabilities of the failure modes of the RBDO problem are replaced with approximate deterministic constraints. The proposed approach is demonstrated on two example problems that have been solved in previous studies without optimizing the required reliability levels of the failure modes. The first example performs RBDO to a cantilever beam with a rectangular cross section under lateral and vertical loads. The constraints are on the strength and the maximum allowable displacement. The second example performs RBDO to a cable-stayed box girder with five failure modes. Compared to the designs found by previous studies, the new approach finds designs with lower mass but without reducing the system reliability.

[1]  Kyung K. Choi,et al.  Selecting probabilistic approaches for reliability-based design optimization , 2004 .

[2]  J. Tu,et al.  A Single-Loop Method for Reliability-Based Design Optimization , 2004, DAC 2004.

[3]  Mazen Ba-abbad,et al.  Reliability-based Design Optimization of a Nonlinear Elastic Plastic Thin-Walled T-Section Beam , 2004 .

[4]  E. Nikolaidis,et al.  Reliability based optimization: A safety index approach , 1988 .

[5]  Isaac Elishakoff,et al.  SAFETY FACTOR AND THE NON-DETERMINISTIC APPROACHES* , 1999 .

[6]  Bilal M. Ayyub,et al.  Simulation-Based Reliability Methods , 1995 .

[7]  T. Steihaug The Conjugate Gradient Method and Trust Regions in Large Scale Optimization , 1983 .

[8]  Achintya Haldar,et al.  First-Order and Second-Order Reliability Methods , 1995 .

[9]  Efstratios Nikolaidis,et al.  First- and Second-Order Reliability Methods , 2004 .

[10]  Elijah Polak,et al.  Optimization: Algorithms and Consistent Approximations , 1997 .

[11]  K. K. Choi,et al.  Enriched Performance Measure Approach (PMA+) for Reliability-Based Design Optimization , 2004 .

[12]  Zissimos P. Mourelatos,et al.  A Single-Loop Approach for System Reliability-Based Design Optimization , 2006, DAC 2006.

[13]  B. Youn,et al.  An Investigation of Nonlinearity of Reliability-Based Design Optimization Approaches , 2004 .

[14]  G. Kharmanda,et al.  Efficient reliability-based design optimization using a hybrid space with application to finite element analysis , 2002 .

[15]  E. Polak,et al.  Reliability-Based Optimal Design of Series Structural Systems , 2001 .

[16]  N. Gayton,et al.  CQ2RS: a new statistical approach to the response surface method for reliability analysis , 2003 .

[17]  Vicente J. Romero,et al.  Construction of Response Surface with Higher Order Continuity and Its Application to Reliability Engineering , 2002 .

[18]  Dan M. Frangopol,et al.  Reliability-Based Optimum Structural Design , 1995 .

[19]  Wei Chen,et al.  An integrated framework for optimization under uncertainty using inverse Reliability strategy , 2004 .

[20]  Kyung K. Choi,et al.  Hybrid Analysis Method for Reliability-Based Design Optimization , 2003 .

[21]  Prabhat Hajela,et al.  Variable Complexity Reliability-Based Optimization with Neural Network Augmentation , 2002 .

[22]  Cee Ing Teh,et al.  Reliability analysis of laterally loaded piles using response surface methods , 2000 .

[23]  Y.-T. Wu,et al.  Safety-Factor Based Approach for Probability-Based Design Optimization , 2001 .

[24]  Hans O. Madsen,et al.  A Comparison of Some Algorithms for Reliability Based Structural Optimization and Sensitivity Analysis , 1992 .

[25]  A. Kiureghian The geometry of random vibrations and solutions by FORM and SORM , 2000 .

[26]  Manolis Papadrakakis,et al.  Reliability-based structural optimization using neural networks and Monte Carlo simulation , 2002 .

[27]  Niels C. Lind,et al.  Methods of structural safety , 2006 .

[28]  Raphael T. Haftka,et al.  Reliability-based Design Optimization Using Probabilistic Safety Factor , 2003 .

[29]  Timothy K. Hasselman,et al.  Reliability based structural design optimization for practical applications , 1997 .

[30]  Kyung K. Choi,et al.  A NEW STUDY ON RELIABILITY-BASED DESIGN OPTIMIZATION , 1999 .

[31]  Ramana V. Grandhi,et al.  General purpose procedure for reliability based structural optimization under parametric uncertainties , 1995 .

[32]  John E. Renaud,et al.  A Unilevel Method for Reliability Based Design Optimization , 2004 .

[33]  Robert E. Melchers,et al.  Structural Reliability: Analysis and Prediction , 1987 .

[34]  Ramana V. Grandhi,et al.  Structural reliability optimization using an efficient safety index calculation procedure , 1994 .

[35]  Kyung K. Choi,et al.  A new response surface methodology for reliability-based design optimization , 2004 .

[36]  T. Cruse,et al.  Advanced probabilistic structural analysis method for implicit performance functions , 1990 .

[37]  R. Grandhi,et al.  Reliability-based structural optimization using improved two-point adaptive nonlinear approximations , 1998 .

[38]  Rakesh K. Kapania,et al.  Reliability-Based Structural Optimization of an Elastic-Plastic Beam , 2002 .

[39]  A. Olsson,et al.  On Latin hypercube sampling for structural reliability analysis , 2003 .

[40]  Kyung K. Choi,et al.  Design Potential Method for Robust System Parameter Design , 2001 .

[41]  Young Ho Park,et al.  Extensions of design potential concept for reliability-based design optimization to nonsmooth and extreme cases , 2001 .

[42]  Byeng D. Youn,et al.  Safety Factor and Inverse Reliability Measures , 2004 .

[43]  Fred Moses Probabilistic Analysis of Structural Systems , 1995 .

[44]  Jorge J. Moré,et al.  Computing a Trust Region Step , 1983 .

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