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Uncertainty quantification: data assimilation, propagation and validation of the numerical model of the Arade river cable-stayed bridge.
- Source :
- Structure & Infrastructure Engineering: Maintenance, Management, Life-Cycle Design & Performance; Oct/Nov2022, Vol. 18 Issue 10/11, p1410-1427, 18p
- Publication Year :
- 2022
-
Abstract
- This paper aims at quantifying the uncertainties and their propagation effects in the numerical modelling of a cable-stayed bridge. To this purpose, the uncertainty quantification approach is implemented in a probabilistic finite element geometrically nonlinear elastic analysis performed in ANSYS®. The objective of this paper is to evaluate the impact of statistical treatment of significant parameters on the results and validate a predictive model. Given the uncertainties associated with the input parameters, the propagation of uncertainties of output parameters is evaluated by sampling-based approaches using Monte Carlo method. Finally, the probability density function of outputs is compared with experimental data to extract a measure of confidence in the numerical results. The methodology provides a tool to evaluate the effects of model parameter uncertainty on the modal response of the bridge. Although the results presented in this study are limited to a numerical model of a cable-stayed bridge, this methodology can be readily applied to the different bridges and structural typologies. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 15732479
- Volume :
- 18
- Issue :
- 10/11
- Database :
- Complementary Index
- Journal :
- Structure & Infrastructure Engineering: Maintenance, Management, Life-Cycle Design & Performance
- Publication Type :
- Academic Journal
- Accession number :
- 158906244
- Full Text :
- https://doi.org/10.1080/15732479.2022.2059528