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 …

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 …

An uncertainty-oriented cross-scale topology optimization model with global stress reliability
constraint, local displacement constraint, and micro-manufacturing control based on …

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 …

Two types of uncertainty exist in engineering. Aleatory uncertainty comes from inherent
variations while epistemic uncertainty derives from ignorance or incomplete information. The …

The first order approximate reliability method (FARM) and second order approximate
reliability method (SARM) are formulated based on evidence theory in this paper. The …

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 …

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 …

UNCERTAINTY is ubiquitous in any engineering system, at any stage of product
development, and throughout a product life cycle. Examples of uncertainty are …

Spatially uncertain parameters are traditionally represented by random field models.
However, the large amount of information required for construction of precise probability …