There always exist multiple uncertainties including random uncertainty, interval uncertainty,
and fuzzy uncertainty in engineering structures. In the presence of hybrid uncertainties, the …

Efficient propagation of uncertainty is one of the most critical tasks for uncertainty
quantification and reliable design in the presence of multi-source uncertainties. This work …

A wide variety of uncertainty propagation methods have been developed to deal with the
single uncertainty; however, different kinds of uncertainties may exist simultaneously in …

Uncertainty analysis (UA) is the process that quantitatively identifies and characterizes the
output uncertainty and has a crucial implication in engineering applications. The research of …

Surrogate-model-assisted uncertainty treatment practices have been the subject of
increasing attention and investigations in recent decades for many symmetrical engineering …

The polynomial chaos (PC) method has been widely studied and applied for uncertainty
propagation (UP) due to its high efficiency and mathematical rigor. However, the …

Traditional uncertainty quantification in multi-physics design problems involves the
propagation of parametric uncertainties in input variables such as structural or aerodynamic …

Surrogate models and adaptive methods can release the huge computational burden of
structural reliability analysis. However, it is very difficult to guarantee the accuracy of …

Even though many efforts have been devoted to effective strategies to build accurate
surrogate models, surrogate model uncertainty is inevitable due to a limited number of …

Uncertainty is pervasive and exerts a profound influence in engineering practice.
Uncertainty quantification is a primary task and of paramount importance in uncertainty …