Metamodel-assisted optimization is a valuable alternative to handle structural design
optimization procedures, which are usually quite expensive and sometimes even prohibitive …

The accurate estimations of the failure probability with low-computational burden play a vital
role in structural reliability analyses. Due to high-calculation cost and time-consuming Monte …

Computing the sensitivity vector in the traditional first order reliability method may provide
inaccurate reliability outcomes for discrete performance functions and inefficient …

The main objective of this paper is to develop accurate novel frameworks for the estimation
of the maximum pitting corrosion depth in oil and gas pipelines based on data-driven …

Graded lattice sandwich structures (GLSSs) enable superior structural performances due to
the continuously-varying configurations and properties of lattices in space. This paper …

This paper proposes a multiscale concurrent topology optimization method for design of
hierarchal multi-morphology lattice structures (HMMLSs), which features in the Kriging …

This paper proposes a system active learning Kriging (SALK) method to handle system
reliability-based design optimization (SRBDO) problems, where responses of all constraints …

The reliability analysis of structural systems with multiple failure modes and mixed variables
is a critical problem because of complex nonlinear correlations among failure modes (or …

Mapping soil contamination enables the delineation of areas where protection measures are
needed. Traditional soil sampling on a grid pattern followed by chemical analysis and …

Abstract Design of experiment and active learning strategy are vital for the surrogate-based
reliability analysis. However, the existing sampling and modeling methods usually ignore …