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 …

Evidence theory-based reliability optimization for cross-scale topological structures with global stress, local displacement, and micro-manufacturing constraints

L Wang, X Zhao, Z Wu, W Chen - Structural and Multidisciplinary …, 2022 - Springer
An uncertainty-oriented cross-scale topology optimization model with global stress reliability
constraint, local displacement constraint, and micro-manufacturing control based on …

Modeling, analysis, and optimization under uncertainties: a review

E Acar, G Bayrak, Y Jung, I Lee, P Ramu… - Structural and …, 2021 - Springer
Abstract Design optimization of structural and multidisciplinary systems under uncertainty
has been an active area of research due to its evident advantages over deterministic design …

Unified uncertainty analysis by the first order reliability method

X Du - 2008 - asmedigitalcollection.asme.org
Two types of uncertainty exist in engineering. Aleatory uncertainty comes from inherent
variations while epistemic uncertainty derives from ignorance or incomplete information. The …

First and second order approximate reliability analysis methods using evidence theory

Z Zhang, C Jiang, GG Wang, X Han - Reliability Engineering & System …, 2015 - Elsevier
The first order approximate reliability method (FARM) and second order approximate
reliability method (SARM) are formulated based on evidence theory in this paper. The …

A novel evidence-theory-based reliability analysis method for structures with epistemic uncertainty

C Jiang, Z Zhang, X Han, J Liu - Computers & Structures, 2013 - Elsevier
Evidence theory has a strong ability to deal with the epistemic uncertainty, based on which
the uncertain parameters existing in many complex engineering problems with limited …

[HTML][HTML] Measuring reliability under epistemic uncertainty: Review on non-probabilistic reliability metrics

R Kang, Q Zhang, Z Zeng, E Zio, X Li - Chinese Journal of Aeronautics, 2016 - Elsevier
In this paper, a systematic review of non-probabilistic reliability metrics is conducted to assist
the selection of appropriate reliability metrics to model the influence of epistemic uncertainty …

Sensitivity analysis with mixture of epistemic and aleatory uncertainties

J Guo, X Du - AIAA journal, 2007 - arc.aiaa.org
UNCERTAINTY is ubiquitous in any engineering system, at any stage of product
development, and throughout a product life cycle. Examples of uncertainty are …

Interval field model and interval finite element analysis

BY Ni, C Jiang - Computer Methods in Applied Mechanics and …, 2020 - Elsevier
Spatially uncertain parameters are traditionally represented by random field models.
However, the large amount of information required for construction of precise probability …