The development of machine learning (ML) provides a promising solution to guarantee the
structural integrity of critical components during service period. However, considering the …

Efficient structural reliability analysis method is crucial to solving reliability analysis of
complex structural problems. High-computational cost and low-failure probability problems …

For complex systems involving multiple operating conditions and multiple failure modes, its
reliability analysis usually presents the cascade failure correlation between multiple levels …

Additive manufacturing (AM) has attracted many attentions because of its design freedom
and rapid manufacturing; however, it is still limited in actual application due to the existing …

The construction industry is adopting high-performance materials due to technological and
environmental advances. Researchers worldwide are studying the use of recycled coarse …

Purpose The multisource uncertainties, including material dispersion, load fluctuation and
geometrical tolerance, have crucial effects on fatigue performance of turbine bladed disks. In …

This study presents an innovative hybrid Adaptive Support Vector Machine-Monte Carlo
Simulation (ASVM-MCS) framework for reliability analysis in complex engineering …

Purpose As a clean and renewable energy source, wind energy will become one of the main
sources of new energy supply in the future. Relying on the stable and strong wind resources …

To effectively estimate the reliability level of low-cycle fatigue (LCF) life of mechanical
structures, a novel method of collaborative modeling-based improved moving Kriging …

This paper proposes a substructure-based distributed-collaborative surrogate modeling
approach for improving the accuracy and efficiency in the estimation of the creep-fatigue …