Dealing with uncertainty in model updating for damage assessment: A review
E Simoen, G De Roeck, G Lombaert - Mechanical Systems and Signal …, 2015 - Elsevier
In structural engineering, model updating is often used for non-destructive damage
assessment: by calibrating stiffness parameters of finite element models based on …
assessment: by calibrating stiffness parameters of finite element models based on …
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 …
[BOOK][B] Uncertainty theory
DB Liu, DB Liu - 2007 - Springer
A classical measure is essentially a set function satisfying nonnegativity and countable
additivity axioms. However, the additivity axiom of classical measure theory has been …
additivity axioms. However, the additivity axiom of classical measure theory has been …
[BOOK][B] Uncertainty theory
B Liu, B Liu - 2010 - Springer
Some information and knowledge are usually represented by human language like “about
100km”,“approximately 39° C”,“roughly 80kg”,“low speed”,“middle age”, and “big size”. How …
100km”,“approximately 39° C”,“roughly 80kg”,“low speed”,“middle age”, and “big size”. How …
Imprecise probabilities in engineering analyses
Probabilistic uncertainty and imprecision in structural parameters and in environmental
conditions and loads are challenging phenomena in engineering analyses. They require …
conditions and loads are challenging phenomena in engineering analyses. They require …
[HTML][HTML] Reliability based bi-directional evolutionary topology optimization of geometric and material nonlinear analysis with imperfections
This paper aims to present a novel computational technique for using reliability-based
design while taking into account the effect of geometrically and materially nonlinear …
design while taking into account the effect of geometrically and materially nonlinear …
Current research trends and application areas of fuzzy and hybrid methods to the risk assessment of construction projects
Fuzzy and hybrid methods have been increasingly used in construction risk management
research and this study aims to compile and analyse the basic concepts and methods …
research and this study aims to compile and analyse the basic concepts and methods …
Uncertainty analysis in solid mechanics with uniform and triangular distributions using stochastic perturbation-based Finite Element Method
M Kamiński - Finite Elements in Analysis and Design, 2022 - Elsevier
In this paper theoretical formulation and computational implementation of the Stochastic
perturbation-based Finite Element Method (SFEM) for uncertainty analysis in solid …
perturbation-based Finite Element Method (SFEM) for uncertainty analysis in solid …
An active learning kriging model for hybrid reliability analysis with both random and interval variables
Hybrid reliability analysis (HRA) with both random and interval variables is investigated in
this paper. Firstly, it is figured out that a surrogate model just rightly predicting the sign of …
this paper. Firstly, it is figured out that a surrogate model just rightly predicting the sign of …
Estimating model inadequacy in ordinary differential equations with physics-informed neural networks
A number of physical systems can be described by ordinary differential equations. When
physics is well understood, the time dependent responses are easily obtained numerically …
physics is well understood, the time dependent responses are easily obtained numerically …