Wind, as a sustainable and affordable energy source, represents a strong alternative to
traditional energy sources. However, wind power is only one of the options, together with …

Abstract In Reliability-based Multidisciplinary Design Optimization (RBMDO), the key
performance functions of wind turbine are usually implicit, which means the performance …

Metaheuristic algorithms have been widely concerned by scholars because of their global
optimization ability that does not depend on gradient information. In this study, Water Cycle …

The durability and simplicity of the programming of meta-heuristic algorithms make them
important in the optimization field. This paper presents a novel application for double cracks …

Information can be quantified and expressed by uncertainty, and improving the decision
level of uncertain information is vital in modeling and processing uncertain information …

Reliability evaluation of aeroengine rotor systems is often characterized by multiple
correlated frail sites and multiple coupled failure modes, leading to the traditional integral …

The classical reliability analysis methods, due to the ever-increasing complexity of
engineering structure, may lead to higher and higher calculation errors and costs. The …

To improve the computational efficiency and accuracy of dynamic multi-component system
reliability analysis involving complex characteristics like dynamic traits, high-nonlinearity …

Purpose This study conducts a comparative study on the performance of reliability
assessment methods based on adaptive surrogate models to accurately assess the …

Underwater glider (UG) is one of the most promising ocean observation platforms, which
involves multiple disciplines. Currently, the system design of UGs greatly relies on the time …