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 …
A survey on approaches for reliability-based optimization
MA Valdebenito, GI Schuëller - Structural and Multidisciplinary …, 2010 - Springer
Reliability-based Optimization is a most appropriate and advantageous methodology for
structural design. Its main feature is that it allows determining the best design solution (with …
structural design. Its main feature is that it allows determining the best design solution (with …
[HTML][HTML] A new adaptive sequential sampling method to construct surrogate models for efficient reliability analysis
NC Xiao, MJ Zuo, C Zhou - Reliability Engineering & System Safety, 2018 - Elsevier
Surrogate models are often used to alleviate the computational burden for structural systems
with expensively time-consuming simulations. In this paper, a new adaptive surrogate model …
with expensively time-consuming simulations. In this paper, a new adaptive surrogate model …
[HTML][HTML] 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 …
A comparative study of uncertainty propagation methods for black-box-type problems
A wide variety of uncertainty propagation methods exist in literature; however, there is a lack
of good understanding of their relative merits. In this paper, a comparative study on the …
of good understanding of their relative merits. In this paper, a comparative study on the …
Structural reliability analysis of wind turbines: A review
The paper presents a detailed review of the state-of-the-art research activities on structural
reliability analysis of wind turbines between the 1990s and 2017. We describe the reliability …
reliability analysis of wind turbines between the 1990s and 2017. We describe the reliability …
A new efficient simulation method to approximate the probability of failure and most probable point
In this paper, a new simulation method for approximating the probability of failure and the
most probable point of failure is proposed. The method works by generating uniformly …
most probable point of failure is proposed. The method works by generating uniformly …
[HTML][HTML] Inverse analysis method using MPP-based dimension reduction for reliability-based design optimization of nonlinear and multi-dimensional systems
There are two commonly used analytical reliability analysis methods: linear approximation–
first-order reliability method (FORM), and quadratic approximation–second-order reliability …
first-order reliability method (FORM), and quadratic approximation–second-order reliability …
Structural reliability assessment by local approximation of limit state functions using adaptive Markov chain simulation and support vector regression
The surrogate model method is widely used in structural reliability analysis to approximate
complex limit state functions. Accurate results can only be obtained when the surrogate …
complex limit state functions. Accurate results can only be obtained when the surrogate …
Sampling-based RBDO using the stochastic sensitivity analysis and dynamic Kriging method
This paper presents a sampling-based RBDO method using surrogate models. The Dynamic
Kriging (D-Kriging) method is used for surrogate models, and a stochastic sensitivity …
Kriging (D-Kriging) method is used for surrogate models, and a stochastic sensitivity …