Purpose As an advanced calculation methodology, reliability-based multidisciplinary design
optimization (RBMDO) has been widely acknowledged for the design problems of modern …

Attributed to the rising popularity of electric vehicles, the global demand for Li-ion batteries
(LIBs) has been increasing steadily. This creates several potential issues in the raw material …

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

Probabilistic combined cycle fatigue (CCF) damage evaluation involves complex large-scale
simulations of low cycle fatigue (LCF) damage, high cycle fatigue (HCF) damage and …

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

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 …

Pythagorean fuzzy set (PFS) is an effective approach for handling uncertainty in practical
applications, whereas how to measure the uncertainty degree of PFS is still an open issue …

Abstract Dempster–Shafer (D–S) evidence theory has been studied and applied broadly,
owing to its advantage of effectively handling uncertainty problems in multisource …

With the ever-increasing demand for personalized product functions, product structure
becomes more and more complex. To design a complex engineering product, it involves …

Actual engineering systems will be inevitably affected by uncertain factors. Thus, the
Reliability-Based Multidisciplinary Design Optimization (RBMDO) has become a hotspot for …