Review of uncertainty-based multidisciplinary design optimization methods for aerospace vehicles

W Yao, X Chen, W Luo, M Van Tooren, J Guo - Progress in Aerospace …, 2011 - Elsevier
This paper presents a comprehensive review of Uncertainty-Based Multidisciplinary Design
Optimization (UMDO) theory and the state of the art in UMDO methods for aerospace …

Robust optimization–a comprehensive survey

HG Beyer, B Sendhoff - Computer methods in applied mechanics and …, 2007 - Elsevier
This paper reviews the state-of-the-art in robust design optimization–the search for designs
and solutions which are immune with respect to production tolerances, parameter drifts …

Computational methods in optimization considering uncertainties–an overview

GI Schuëller, HA Jensen - Computer Methods in Applied Mechanics and …, 2008 - Elsevier
This article presents a brief survey on some of the most relevant developments in the field of
optimization under uncertainty. In particular, the scope and the relevance of the papers …

Dimension reduction method for reliability-based robust design optimization

I Lee, KK Choi, L Du, D Gorsich - Computers & Structures, 2008 - Elsevier
In reliability-based robust design optimization (RBRDO) formulation, the product quality loss
function is minimized subject to probabilistic constraints. Since the quality loss function is …

Multiobjective robust optimization method for drawbead design in sheet metal forming

G Sun, G Li, Z Gong, X Cui, X Yang, Q Li - Materials & Design, 2010 - Elsevier
It is recognized that fracture and wrinkling in sheet metal forming can be eliminated via an
appropriate drawbead design. Although deterministic multiobjective optimization algorithms …

Robust design for multiscale and multidisciplinary applications

JK Allen, C Seepersad, HJ Choi, F Mistree - 2006 - asmedigitalcollection.asme.org
The intent in robust design is to improve the quality of products and processes by reducing
their sensitivity to variations, thereby reducing the effects of variability without removing its …

Computing solution spaces for robust design

M Zimmermann, JE von Hoessle - International Journal for …, 2013 - Wiley Online Library
In some engineering problems, tolerance to variation of design parameters is essential. In
an early development phase of a distributed development process for example, the system …

Review of improved Monte Carlo methods in uncertainty-based design optimization for aerospace vehicles

X Hu, X Chen, GT Parks, W Yao - Progress in Aerospace Sciences, 2016 - Elsevier
Ever-increasing demands of uncertainty-based design, analysis, and optimization in
aerospace vehicles motivate the development of Monte Carlo methods with wide …

An interval sequential linear programming for nonlinear robust optimization problems

J Tang, C Fu, C Mi, H Liu - Applied Mathematical Modelling, 2022 - Elsevier
In this paper, interval sequential linear programming (ISLP) is proposed to solve nonlinear
robust optimization (RO). The main idea of the programming is to transform the uncertain …

A design-driven validation approach using Bayesian prediction models

W Chen, Y Xiong, KL Tsui, S Wang - 2008 - asmedigitalcollection.asme.org
In most of the existing work, model validation is viewed as verifying the model accuracy,
measured by the agreement between computational and experimental results. Due to the …