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 …
Computational methods in optimization considering uncertainties–an overview
GI Schuëller, HA Jensen - Computer Methods in Applied Mechanics and …, 2008 - Elsevier
This article presents a brief survey on some of the most relevant developments in the field of
optimization under uncertainty. In particular, the scope and the relevance of the papers …
optimization under uncertainty. In particular, the scope and the relevance of the papers …
PINN-FORM: a new physics-informed neural network for reliability analysis with partial differential equation
The first-order reliability method (FORM) is commonly used in the field of structural reliability
analysis, which transforms the reliability analysis problem into the solution of an optimization …
analysis, which transforms the reliability analysis problem into the solution of an optimization …
Application of state-of-the-art multiobjective metaheuristic algorithms in reliability-based design optimization: a comparative study
Multiobjective reliability-based design optimization (RBDO) is a research area, which has
not been investigated in the literatures comparing with single-objective RBDO. This work …
not been investigated in the literatures comparing with single-objective RBDO. This work …
A system active learning Kriging method for system reliability-based design optimization with a multiple response model
This paper proposes a system active learning Kriging (SALK) method to handle system
reliability-based design optimization (SRBDO) problems, where responses of all constraints …
reliability-based design optimization (SRBDO) problems, where responses of all constraints …
Resilience-driven system design of complex engineered systems
Most engineered systems are designed with a passive and fixed design capacity and,
therefore, may become unreliable in the presence of adverse events. Currently, most …
therefore, may become unreliable in the presence of adverse events. Currently, most …
An efficient Kriging based method for time-dependent reliability based robust design optimization via evolutionary algorithm
Uncertainty inadvertently exists in various stages of engineering system design,
development, and operating conditions. During the system design and development stages …
development, and operating conditions. During the system design and development stages …
Surrogate model uncertainty quantification for reliability-based design optimization
Surrogate models have been widely employed as approximations of expensive physics-
based simulations to alleviate the computational burden in reliability-based design …
based simulations to alleviate the computational burden in reliability-based design …
Dimension reduction method for reliability-based robust design optimization
In reliability-based robust design optimization (RBRDO) formulation, the product quality loss
function is minimized subject to probabilistic constraints. Since the quality loss function is …
function is minimized subject to probabilistic constraints. Since the quality loss function is …
Reliability-based design optimization of laminated composite structures under delamination and material property uncertainties
Delamination is a major type of defects from manufacturing process in laminated composite
structures, exhibiting uncertain characteristics which are represented by mixed random …
structures, exhibiting uncertain characteristics which are represented by mixed random …