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

Due to its high efficiency, surrogate models have been extensively used in black-box-type
engineering optimization problems. However, due to the nature of black-box functions, it is …

Kriging surrogate model has been widely used to simulate expensive models in engineering
application. Ensemble of multi-kernel Kriging surrogate models can integrate the information …

In this paper, a prediction-oriented active sparse polynomial chaos expansion (PAS-PCE) is
proposed for reliability analysis. Instead of leveraging on additional techniques to reduce the …

The failure probability function (FPF) is a function of failure probability that varies with
distribution parameters of random inputs, and is required in reliability-based optimization. To …

Surrogate-assisted evolutionary algorithms (SAEAs) are increasingly used in solving
computationally expensive optimization problems. However, when tackling high …

Metamodel-based high-dimensional model representation (HDMR) has recently been
developed as a promising tool for approximating high-dimensional and computationally …

This research presents a novel algorithm for robust topology optimization of continuous
structures under material and loading uncertainties by combining an evolutionary structural …

Reinforced concrete (RC) is the result of a combination of steel reinforcing rods (which have
high tensile) and concrete (which has high compressive strength). Additionally, the …

Polynomial chaos expansion (PCE) is widely used in a variety of engineering fields for
uncertainty and sensitivity analyses. The computational cost of full PCE is unaffordable due …