Multidisciplinary design optimization of engineering systems under uncertainty: a review

D Meng, S Yang, C He, H Wang, Z Lv… - International Journal of …, 2022 - emerald.com
Purpose As an advanced calculation methodology, reliability-based multidisciplinary design
optimization (RBMDO) has been widely acknowledged for the design problems of modern …

Information quality for intuitionistic fuzzy values with its application in decision making

D Xie, F Xiao, W Pedrycz - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
Abstract Information quality has attracted increasing attention in recent years. In this paper,
we propose a measure to quantify the information quality of intuitionistic fuzzy information …

A novel Kriging-model-assisted reliability-based multidisciplinary design optimization strategy and its application in the offshore wind turbine tower

D Meng, S Yang, AMP de Jesus, SP Zhu - Renewable Energy, 2023 - Elsevier
Abstract In Reliability-based Multidisciplinary Design Optimization (RBMDO), the key
performance functions of wind turbine are usually implicit, which means the performance …

Combining time-series evidence: A complex network model based on a visibility graph and belief entropy

X Song, F Xiao - Applied Intelligence, 2022 - Springer
Combining basic probability assignments (BPAs) with time series is common in real-life
cases. Therefore, a new evidence fusion approach based on belief entropy and a visibility …

Deep learning regression-based stratified probabilistic combined cycle fatigue damage evaluation for turbine bladed disks

XQ Li, LK Song, GC Bai - International Journal of Fatigue, 2022 - Elsevier
Probabilistic combined cycle fatigue (CCF) damage evaluation involves complex large-scale
simulations of low cycle fatigue (LCF) damage, high cycle fatigue (HCF) damage and …

A belief Hellinger distance for D–S evidence theory and its application in pattern recognition

C Zhu, F Xiao - Engineering Applications of Artificial Intelligence, 2021 - Elsevier
Abstract Dempster–Shafer (D–S) evidence theory has been studied and applied broadly,
owing to its advantage of effectively handling uncertainty problems in multisource …

[PDF][PDF] RBMDO using gaussian mixture model-based second-order mean-value saddlepoint approximation

D Meng, S Yang, T Lin, J Wang… - Computer Modeling in …, 2022 - cdn.techscience.cn
Actual engineering systems will be inevitably affected by uncertain factors. Thus, the
Reliability-Based Multidisciplinary Design Optimization (RBMDO) has become a hotspot for …

A time-varying mechanical structure reliability analysis method based on performance degradation

D Meng, Z Lv, S Yang, H Wang, T Xie, Z Wang - Structures, 2021 - Elsevier
In mechanical engineering, most mechanical structural systems are composed of many
parts, so their structures are complex. When a mechanical structure fails, it is generally …

An efficient multi-objective reliability-based design optimization method for structure based on probability and interval hybrid model

X Liu, T Li, Z Zhou, L Hu - Computer Methods in Applied Mechanics and …, 2022 - Elsevier
An efficient multi-objective reliability-based design optimization (MO-RBDO) method is
proposed based on the probability and interval hybrid model. With probability variables …

A Review of Uncertainty-Based Multidisciplinary Design Optimization Methods Based on Intelligent Strategies

C Wang, H Fan, X Qiang - Symmetry, 2023 - mdpi.com
The design of aerospace systems is recognized as a complex interdisciplinary process.
Many studies have shown that the exchange of information among multiple disciplines often …