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 compendium of copulas
Copulas are used to specify dependence between two or more random variables. The last
few years have seen a surge of developments of parametric models for copulas. Here, we …
few years have seen a surge of developments of parametric models for copulas. Here, we …
Temperature gradient modeling of a steel box-girder suspension bridge using Copulas probabilistic method and field monitoring
A novel copula-based probabilistic model is proposed to establish the temperature
difference analysis model for a long-span suspension bridge's steel box girder. The key idea …
difference analysis model for a long-span suspension bridge's steel box girder. The key idea …
Uncertainty quantification in multiscale simulation of woven fiber composites
Woven fiber composites have been increasingly employed as light-weight materials in
aerospace, construction, and transportation industries due to their superior properties …
aerospace, construction, and transportation industries due to their superior properties …
[LIBRO][B] Computational analysis of randomness in structural mechanics: Structures and infrastructures book series, Vol. 3
C Bucher - 2009 - taylorfrancis.com
Proper treatment of structural behavior under severe loading-such as the performance of a
high-rise building during an earthquake-relies heavily on the use of probability-based …
high-rise building during an earthquake-relies heavily on the use of probability-based …
Adaptive-sparse polynomial chaos expansion for reliability analysis and design of complex engineering systems
This paper presents an adaptive-sparse polynomial chaos expansion (adaptive-sparse
PCE) method for performing engineering reliability analysis and design. The proposed …
PCE) method for performing engineering reliability analysis and design. The proposed …
Dependency effect on the reliability-based design optimization of complex offshore structure
A tradeoff between cost and safety is essential in the reliability-based design of offshore
support structures operating in uncertain harsh environments. This study proposes a …
support structures operating in uncertain harsh environments. This study proposes a …
[HTML][HTML] Improved dynamic design method of ballasted high-speed railway bridges using surrogate-assisted reliability-based design optimization of dependent …
Operating high-speed trains imposes excessive vibrations to bridges raising concerns about
their safety. In this context, it was shown that some conventional design methods such as …
their safety. In this context, it was shown that some conventional design methods such as …
Artificial Neural Network model to predict the flutter velocity of suspension bridges
F Rizzo, L Caracoglia - Computers & Structures, 2020 - Elsevier
This paper discusses the implementation of an artificial neural network (ANN) for predicting
the critical flutter velocity of suspension bridges with closed box deck sections. Deck chord …
the critical flutter velocity of suspension bridges with closed box deck sections. Deck chord …
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 …