𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Reliability-based optimization considering design variables of discrete size

✍ Scribed by M.A. Valdebenito; G.I. Schuëller


Publisher
Elsevier Science
Year
2010
Tongue
English
Weight
580 KB
Volume
32
Category
Article
ISSN
0141-0296

No coin nor oath required. For personal study only.

✦ Synopsis


a b s t r a c t

This contribution presents an approach for performing reliability-based optimization (RBO) with emphasis on the treatment of discrete design variables. The key idea of the proposed approach is the construction of an approximate representation of the structural reliability (i.e. a meta-model for reliability). This allows replacing the original RBO problem with a series of approximate yet accurate subproblems. These approximate subproblems can be solved most efficiently using any appropriate optimization method. Application examples involving the design of steel frames illustrate the features of the proposed approach.


📜 SIMILAR VOLUMES


Genetic algorithm for discrete-sizing op
✍ A. Kaveh; V. Kalatjari 📂 Article 📅 2002 🏛 John Wiley and Sons 🌐 English ⚖ 138 KB

## Abstract In the process of discrete‐sizing optimal design of truss structures by Genetic Algorithm (GA), analysis should be performed several times. In this article, the force method is employed for the analysis. The advantage of using this method lies in the fact that the matrices corresponding

Sensitivity analyses of FORM-based and D
✍ Ikjin Lee; K. K. Choi; David Gorsich 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 290 KB

## Abstract In gradient‐based design optimization, the sensitivities of the constraint with respect to the design variables are required. In reliability‐based design optimization (RBDO), the probabilistic constraint is evaluated at the most probable point (MPP), and thus the sensitivities of the pr