A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Uncertainty quantification: data assimilation, propagation and validation of the numerical model of the Arade river cable-stayed bridge
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.
Uncertainty quantification: data assimilation, propagation and validation of the numerical model of the Arade river cable-stayed bridge
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.
Uncertainty quantification: data assimilation, propagation and validation of the numerical model of the Arade river cable-stayed bridge
Santos, Iviane Cunha e (author) / Brito, José Luis Vital de (author) / Caetano, Elsa de Sá (author)
Structure and Infrastructure Engineering ; 18 ; 1410-1427
2022-11-02
18 pages
Article (Journal)
Electronic Resource
Unknown
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