Extensions of design potential concept for reliability-based design optimization to nonsmooth and extreme cases

Abstract.The reliability-based design optimization (RBDO) can be described by the design potential concept in a unified system space, where the probabilistic constraint is identified by the design potential surface of the reliability target that is obtained analytically from the first-order reliability method (FORM). This paper extends the design potential concept to treat nonsmooth probabilistic constraints and extreme case design in RBDO. In addition, refinement of the design potential surface, which yields better optimum design, can be obtained using more accurate second-order reliability method (SORM). By integrating performance probability analysis into the iterative design optimization process, the design potential concept leads to a very effective design potential method (DPM) for robust system parameter design. It can also be applied effectively to extreme case design (ECD) by directly representing a probabilistic constraint in terms of the system performance function.

[1]  Carl D. Sorensen,et al.  A general approach for robust optimal design , 1993 .

[2]  Kyung K. Choi,et al.  Probabilistic Structural Durability Prediction , 1998 .

[3]  L. Tvedt Distribution of quadratic forms in normal space-application to structural reliability , 1990 .

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

[5]  Bilal M. Ayyub,et al.  Probability, Statistics, and Reliability for Engineers and Scientists , 2003 .

[6]  Jasbir S. Arora,et al.  Introduction to Optimum Design , 1988 .

[7]  John Dalsgaard Sørensen,et al.  Reliability-Based Optimization in Structural Engineering , 1994 .

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

[9]  Kyung K. Choi,et al.  A mixed design approach for probabilistic structural durability , 1997 .

[10]  K. Breitung Asymptotic Approximation for Multi-normal Integrals , 1984 .

[11]  R. Rackwitz,et al.  Non-Normal Dependent Vectors in Structural Safety , 1981 .

[12]  Jyh-Cheng Yu,et al.  Design for Robustness Based on Manufacturing Variation Patterns , 1998 .

[13]  Maurice Bryson,et al.  Probability, Statistics, and Reliability for Engineers , 1997, Technometrics.

[14]  Donald R. Houser,et al.  A ROBUST OPTIMIZATION PROCEDURE WITH VARIATIONS ON DESIGN VARIABLES AND CONSTRAINTS , 1995 .

[15]  Kendall E. Atkinson An introduction to numerical analysis , 1978 .

[16]  K. Breitung Asymptotic approximations for multinormal integrals , 1984 .

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

[18]  Dan M. Frangopol,et al.  Reliability-Based Structural System Optimization: State-of-the-Art versus State-of-the-Practice , 1996 .