contributor author | Kuei-Yuan Chan | |
contributor author | Steven J. Skerlos | |
contributor author | Panos Papalambros | |
date accessioned | 2017-05-09T00:25:11Z | |
date available | 2017-05-09T00:25:11Z | |
date copyright | February, 2007 | |
date issued | 2007 | |
identifier issn | 1050-0472 | |
identifier other | JMDEDB-27842#140_1.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/136519 | |
description abstract | Optimal design problems with probabilistic constraints, often referred to as reliability-based design optimization problems, have been the subject of extensive recent studies. Solution methods to date have focused more on improving efficiency rather than accuracy and the global convergence behavior of the solution. A new strategy utilizing an adaptive sequential linear programming (SLP) algorithm is proposed as a promising approach to balance accuracy, efficiency, and convergence. The strategy transforms the nonlinear probabilistic constraints into equivalent deterministic ones using both first order and second order approximations, and applies a filter-based SLP algorithm to reach the optimum. Simple numerical examples show promise for increased accuracy without sacrificing efficiency. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | An Adaptive Sequential Linear Programming Algorithm for Optimal Design Problems With Probabilistic Constraints | |
type | Journal Paper | |
journal volume | 129 | |
journal issue | 2 | |
journal title | Journal of Mechanical Design | |
identifier doi | 10.1115/1.2337312 | |
journal fristpage | 140 | |
journal lastpage | 149 | |
identifier eissn | 1528-9001 | |
keywords | Algorithms | |
keywords | Design | |
keywords | Filters AND Linear programming | |
tree | Journal of Mechanical Design:;2007:;volume( 129 ):;issue: 002 | |
contenttype | Fulltext | |