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 …
A novel hybrid adaptive Kriging and water cycle algorithm for reliability-based design and optimization strategy: Application in offshore wind turbine monopile
D Meng, S Yang, AMP De Jesus… - Computer Methods in …, 2023 - Elsevier
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 …
optimization ability that does not depend on gradient information. In this study, Water Cycle …
A Kriging-based decoupled non-probability reliability-based design optimization scheme for piezoelectric PID control systems
L Wang, Y Zhao, J Liu - Mechanical Systems and Signal Processing, 2023 - Elsevier
When dealing with optimization problems, the introduction of uncertainty will greatly
increase the difficulty of solving the problem. The traditional reliability-based design …
increase the difficulty of solving the problem. The traditional reliability-based design …
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 …
Kinematic trajectory accuracy reliability analysis for industrial robots considering intercorrelations among multi-point positioning errors
The kinematic trajectory accuracy reliability is an essential index to evaluate the service
performance of industrial robots. This study proposes a new kinematic trajectory accuracy …
performance of industrial robots. This study proposes a new kinematic trajectory accuracy …
An efficient multi-fidelity Kriging surrogate model-based method for global sensitivity analysis
X Shang, L Su, H Fang, B Zeng, Z Zhang - Reliability Engineering & System …, 2023 - Elsevier
Global sensitivity analysis (GSA), particularly for Sobol index, is a powerful tool to quantify
the variation of model response sourced from the uncertainty of input variables over the …
the variation of model response sourced from the uncertainty of input variables over the …
A new solution framework for time-dependent reliability-based design optimization
Time-dependent reliability-based design optimization (TRBDO) has attracted intensive
research attentions in recent years by virtue of its unique ability to allow consideration of …
research attentions in recent years by virtue of its unique ability to allow consideration of …
Limit state Kriging modeling for reliability-based design optimization through classification uncertainty quantification
X Li, H Zhu, Z Chen, W Ming, Y Cao, W He… - Reliability Engineering & …, 2022 - Elsevier
Reliability-based design optimization (RBDO) plays a vital role in considering the effect of
uncertainties in the optimal design variables on the production reliability. Kriging-assisted …
uncertainties in the optimal design variables on the production reliability. Kriging-assisted …
An advanced mixed-degree cubature formula for reliability analysis
Efficient assessment of mechanical system reliability subject to arbitrary probability
distributions and dependent input parameters signifies an important yet challenging task. To …
distributions and dependent input parameters signifies an important yet challenging task. To …
Adaptive relevance vector machine combined with Markov-chain-based importance sampling for reliability analysis
Y Wang, B Xie, E Shiyuan - Reliability Engineering & System Safety, 2022 - Elsevier
Many engineering systems involve complex implicit performance functions, and evaluating
the failure probability of these systems usually requires time-consuming finite element …
the failure probability of these systems usually requires time-consuming finite element …