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 …

The research progress and prospect of data mining methods on corrosion prediction of oil and gas pipelines

L Xu, Y Wang, L Mo, Y Tang, F Wang, C Li - Engineering Failure Analysis, 2023 - Elsevier
As the principal means of oil and natural gas transportation, oil and gas pipeline systems
suffer from common corrosion problems, accurate corrosion prediction of oil and gas …

Multivariate ensembles-based hierarchical linkage strategy for system reliability evaluation of aeroengine cooling blades

XQ Li, LK Song, YS Choy, GC Bai - Aerospace Science and Technology, 2023 - Elsevier
To improve the computing accuracy and efficiency of system reliability evaluation for
aeroengine cooling blades, by fusing the benefits of multivariate ensembles model (ME) into …

A new hybrid PSO-YUKI for double cracks identification in CFRP cantilever beam

A Khatir, R Capozucca, S Khatir, E Magagnini… - Composite …, 2023 - Elsevier
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 …

EMCS-SVR: hybrid efficient and accurate enhanced simulation approach coupled with adaptive SVR for structural reliability analysis

C Luo, B Keshtegar, SP Zhu, X Niu - Computer Methods in Applied …, 2022 - Elsevier
In structural reliability analysis, robust and efficient sampling methods that address low
failure probabilities are vital challenges. In this paper, a novel dynamical adaptive enhanced …

Hybrid and enhanced PSO: Novel first order reliability method-based hybrid intelligent approaches

SP Zhu, B Keshtegar, MEAB Seghier, E Zio… - Computer Methods in …, 2022 - Elsevier
Computing the sensitivity vector in the traditional first order reliability method may provide
inaccurate reliability outcomes for discrete performance functions and inefficient …

Physics-guided machine learning frameworks for fatigue life prediction of AM materials

L Wang, SP Zhu, C Luo, D Liao, Q Wang - International Journal of Fatigue, 2023 - Elsevier
Introducing random defects is a type of the dominant causes of fatigue scatter of additive
manufacturing (AM) materials. The fracture mechanics-based models oversimplify the …

An enhanced uniform simulation approach coupled with SVR for efficient structural reliability analysis

C Luo, SP Zhu, B Keshtegar, X Niu, O Taylan - Reliability Engineering & …, 2023 - Elsevier
For structural reliability analysis with low failure probability, traditional simulation methods
are time consuming approaches, which is a great challenge for estimating the failure …

Defect driven physics-informed neural network framework for fatigue life prediction of additively manufactured materials

L Wang, SP Zhu, C Luo, X Niu… - … Transactions of the …, 2023 - royalsocietypublishing.org
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 …

A novel learning function for adaptive surrogate-model-based reliability evaluation

S Yang, D Meng, H Wang… - … Transactions of the …, 2024 - royalsocietypublishing.org
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 …