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Improved finite element model updating of a full-scale steel bridge using sensitivity analysis.

Authors :
Svendsen, Bjørn T.
Petersen, Øyvind W.
Frøseth, Gunnstein T.
Rønnquist, Anders
Source :
Structure & Infrastructure Engineering: Maintenance, Management, Life-Cycle Design & Performance; Mar2023, Vol. 19 Issue 3, p315-331, 17p
Publication Year :
2023

Abstract

There are many uncertainties related to existing bridges that are approaching or have exceeded their original design life. Lifetime extension analysis of bridges should be based on validated numerical models that can be effectively established. This paper presents a new procedure to obtain an optimal solution from sensitivity-based model updating with respect to an improvement in the modal properties, such as the natural frequencies and mode shapes, based on realistic parameter values. The procedure combines variations in the ratios of overdetermined systems with different definitions of local parameter bounds in a structured approach using a sensitivity analysis. The feasibility of the procedure is demonstrated in an experimental case study. Model updating is performed on a full-scale steel bridge using the natural frequencies and modal assurance criterion (MAC) numbers, where the numerical model is established by considering general uncertainties and model simplifications to reduce the model complexity. From the optimal solution for the case study considered, an improvement in modal parameters is obtained with highly reliable parameter values. The proposed procedure can be applied to similar case studies, irrespective of the structure under consideration and the corresponding parameterisation to be made, to effectively obtain a validated numerical model. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15732479
Volume :
19
Issue :
3
Database :
Complementary Index
Journal :
Structure & Infrastructure Engineering: Maintenance, Management, Life-Cycle Design & Performance
Publication Type :
Academic Journal
Accession number :
160402727
Full Text :
https://doi.org/10.1080/15732479.2021.1944227