Temperature field prediction is of great importance in the thermal design of systems
engineering, and building a surrogate model is an effective method for the task. Ensuring a …

Polynomial chaos expansion (PCE) is considered an excellent method for accurately and
efficiently reliability analysis in various engineering problems. However, it becomes …

In constructing the Bayesian network (BN) reliability model, too many components will make
the memory storage requirements of the conditional probability table (CPT) exceed the …

Digital twin has become a critical technical solution for satellite in-orbit service and
maintenance. The majority of existing research in this field has focused on constructing …

Robust design optimization (RDO) is a remarkable technique for improving product quality in
an uncertain environment. The double-loop structure of RDO involves uncertainty …

Simulation optimization problems with stochastic constraints are optimization problems with
deterministic cost functions subject to stochastic constraints. Solving the considered problem …

Polynomial chaos expansion (PCE) is an efficient surrogate modeling method that can be
used for reliability analysis. However, the existing methods generally require sufficient …

This study presents the Sparse Moment Quadrature (SMQ) method, a new uncertainty
quantification technique for high-dimensional complex computational models. These models …

Polynomial chaos expansion (PCE) is a powerful method for building a surrogate model that
can be applied to assist reliability analysis. Generally, a PCE model with a higher expansion …

Traditional methods for uncertainty quantification (UQ) struggle with the curse of
dimensionality when dealing with high-dimensional problems. One approach to address this …