Modeling, analysis, and optimization under uncertainties: a review
Abstract Design optimization of structural and multidisciplinary systems under uncertainty
has been an active area of research due to its evident advantages over deterministic design …
has been an active area of research due to its evident advantages over deterministic design …
Reliability-based design optimization of wind turbine blades for fatigue life under dynamic wind load uncertainty
This paper studies reliability-based design optimization (RBDO) of a 5-MW wind turbine
blade for designing reliable as well as economical wind turbine blades. A novel dynamic …
blade for designing reliable as well as economical wind turbine blades. A novel dynamic …
Confidence-based design optimization for a more conservative optimum under surrogate model uncertainty caused by Gaussian process
Even though many efforts have been devoted to effective strategies to build accurate
surrogate models, surrogate model uncertainty is inevitable due to a limited number of …
surrogate models, surrogate model uncertainty is inevitable due to a limited number of …
Optimal design of experiments for optimization-based model calibration using Fisher information matrix
Statistical model calibration to infer unknown model parameters and model bias has been
widely developed through comparison between simulation response and experimental data …
widely developed through comparison between simulation response and experimental data …
A novel classification method to random samples for efficient reliability sensitivity analysis
Reliability sensitivity analysis is important to measure how uncertainties influence the
reliability of mechanical systems. This study aims to propose an efficient computational …
reliability of mechanical systems. This study aims to propose an efficient computational …
A probabilistic feasible region approach for reliability-based design optimization
Z Chen, X Li, G Chen, L Gao, H Qiu, S Wang - Structural and …, 2018 - Springer
Reliability-based design optimization (RBDO) is a useful tool for design optimization when
considering the probabilistic characteristics of the design variables. However, its use in …
considering the probabilistic characteristics of the design variables. However, its use in …
Reliability measure approach for confidence-based design optimization under insufficient input data
In most of the reliability-based design optimization (RBDO) researches, accurate input
statistical model has been assumed to concentrate on the variability of random variables; …
statistical model has been assumed to concentrate on the variability of random variables; …
A novel probabilistic feasible region method for reliability-based design optimization with varying standard deviation
Z Wu, Z Chen, G Chen, X Li, C Jiang, X Gan… - Journal of Mechanical …, 2023 - Springer
An effective method for reliability-based design optimization (RBDO) problems taking
uncertainties into account is the probabilistic feasible region (PFR) approach. The PFR …
uncertainties into account is the probabilistic feasible region (PFR) approach. The PFR …
Design sensitivity analysis with polynomial chaos for robust optimization
C Ren, F **ong, B Mo, A Chawdhury… - Structural and …, 2021 - Springer
Polynomial chaos (PC) methods with Gauss-type quadrature formulae have been widely
applied for robust design optimization. During the robust optimization, gradient-based …
applied for robust design optimization. During the robust optimization, gradient-based …
MPP-based approximated DRM (ADRM) using simplified bivariate approximation with linear regression
Conventional most probable point (MPP)-based dimension reduction methods (DRM) show
better accuracy in reliability analysis than first-order reliability methods (FORM), and thus …
better accuracy in reliability analysis than first-order reliability methods (FORM), and thus …