An overview of adaptive-surrogate-model-assisted methods for reliability-based design optimization
C Ling, W Kuo, M Xie - IEEE Transactions on Reliability, 2022 - ieeexplore.ieee.org
Reliability-based design optimization (RBDO) is one of the most crucial techniques in
complex and reliability-critical engineering systems. This has been a research hotspot over …
complex and reliability-critical engineering systems. This has been a research hotspot over …
Efficient local adaptive Kriging approximation method with single-loop strategy for reliability-based design optimization
The classical reliability-based design optimization (RBDO) methods, due to the ever
increasing complexity of designs and contingent engineering situations, incur more and …
increasing complexity of designs and contingent engineering situations, incur more and …
Reliability-based design optimization using adaptive Kriging-A single-loop strategy and a double-loop one
YZ Ma, XX Jin, XL Wu, C Xu, HS Li, ZZ Zhao - Reliability Engineering & …, 2023 - Elsevier
With the development of the surrogate-assisted Reliability-Based Design Optimization
(RBDO) methods in recent decade, efficiency has been continuously improved by various …
(RBDO) methods in recent decade, efficiency has been continuously improved by various …
A hybrid adaptive Kriging-based single loop approach for complex reliability-based design optimization problems
The study proposed a hybrid adaptive Kriging-based single loop approach (HAK-SLA) to
prevent the conventional single loop approach (SLA) from being less efficient, converging to …
prevent the conventional single loop approach (SLA) from being less efficient, converging to …
Optimum-pursuing method for constrained optimization and reliability-based design optimization problems using Kriging model
This paper proposes a new active learning method named as optimum-pursuing method
(OPM) from the viewpoint of optimization theory, which aims to provide an effective tool for …
(OPM) from the viewpoint of optimization theory, which aims to provide an effective tool for …
A novel active learning method for profust reliability analysis based on the Kriging model
X Yang, X Cheng, Z Liu, T Wang - Engineering with Computers, 2022 - Springer
Profust reliability analysis, in which the failure state of a load-bearing structure is assumed to
be fuzzy, is investigated in this paper. A novel active learning method based on the Kriging …
be fuzzy, is investigated in this paper. A novel active learning method based on the Kriging …
A Kriging-assisted global reliability-based design optimization algorithm with a reliability-constrained expected improvement
Surrogate models have been extensively used in reliability-based design optimization
(RBDO); however, few studies have focused on the global optimality of RBDO. This paper …
(RBDO); however, few studies have focused on the global optimality of RBDO. This paper …
Mixed reliability-oriented topology optimization for thermo-mechanical structures with multi-source uncertainties
With the rapid development of topology optimization methodology in engineering
application, how to deal with the multi-source uncertainties incurs more and more attention …
application, how to deal with the multi-source uncertainties incurs more and more attention …
A decoupled double-loop method with the adaptive allowable limits for probabilistic performance-based design optimization
MA Fathali, SRH Vaez - Engineering Structures, 2023 - Elsevier
In this study, inspired by the idea of the sequential optimization and reliability assessment
(SORA) method, a new decoupled double-loop method for probabilistic performance-based …
(SORA) method, a new decoupled double-loop method for probabilistic performance-based …
[HTML][HTML] Reliability analysis using a multi-metamodel complement-basis approach
The present work discusses an innovative approach to metamodeling in reliability that uses
a field-transversal rationale. Adaptive metamodeling in reliability is characterized by its large …
a field-transversal rationale. Adaptive metamodeling in reliability is characterized by its large …