Multidisciplinary design optimization of engineering systems under uncertainty: a review
Purpose As an advanced calculation methodology, reliability-based multidisciplinary design
optimization (RBMDO) has been widely acknowledged for the design problems of modern …
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 …
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
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 …
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
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 …
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
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 …
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
Computing the sensitivity vector in the traditional first order reliability method may provide
inaccurate reliability outcomes for discrete performance functions and inefficient …
inaccurate reliability outcomes for discrete performance functions and inefficient …
Physics-guided machine learning frameworks for fatigue life prediction of AM materials
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 …
manufacturing (AM) materials. The fracture mechanics-based models oversimplify the …
An enhanced uniform simulation approach coupled with SVR for efficient structural reliability analysis
For structural reliability analysis with low failure probability, traditional simulation methods
are time consuming approaches, which is a great challenge for estimating the failure …
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
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 …
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 …
engineering structure, may lead to higher and higher calculation errors and costs. The …