Uncertainty quantification in the damage assessment of a cable-stayed bridge by means of fuzzy numbers

Authors:
D. Degrauwe;G. De Roeck;G. Lombaert
Affiliations:
Department of Civil Engineering, K.U. Leuven, Kasteelpark Arenberg 40, B-3001 Leuven, Belgium;Department of Civil Engineering, K.U. Leuven, Kasteelpark Arenberg 40, B-3001 Leuven, Belgium;Department of Civil Engineering, K.U. Leuven, Kasteelpark Arenberg 40, B-3001 Leuven, Belgium
Venue:
Computers and Structures
Year:
2009

Citing 7
Cited 3

Fuzzy weighted averages and implementation of the extension principle

Fuzzy Sets and Systems
Fuzzy set theory—and its applications (3rd ed.)

Fuzzy set theory—and its applications (3rd ed.)
Revision of possibility distributions: a Bayesian inference pattern

Fuzzy Sets and Systems - Special issue on fuzzy numbers and uncertainty
Fuzzy Sets and Systems: Theory and Applications

Fuzzy Sets and Systems: Theory and Applications
The transformation method for the simulation and analysis of systems with uncertain parameters

Fuzzy Sets and Systems - Fuzzy intervals
Fuzzy logic and probability applications: bridging the gap

Fuzzy logic and probability applications: bridging the gap
Paper: Rating and ranking of multiple-aspect alternatives using fuzzy sets

Automatica (Journal of IFAC)

Inverse propagation of uncertainties in finite element model updating through use of fuzzy arithmetic

Engineering Applications of Artificial Intelligence
Parametric dominant pole algorithm for parametric model order reduction

Journal of Computational and Applied Mathematics
Structural identification (St-Id) using finite element models for optimum sensor configuration and uncertainty quantification

Finite Elements in Analysis and Design

Quantified Score

Hi-index	0.01

Visualization

Abstract

Cables offer interesting possibilities in bridge design, but are rather susceptible to damage. Since damage in a cable changes its natural vibration frequency, it can be assessed with a vibration-based finite element updating procedure. However, the natural frequency of a cable is also influenced by the temperature, and the measured frequencies are prone to measurement errors. Therefore, it is useful to check the sensitivity of the identified damage with respect to these factors. This paper presents a methodology based on fuzzy numbers to investigate the propagation of measurement errors and uncertainty on the structural temperature throughout the updating procedure.