Wavelet-based stochastic finite element analysis of steel girders
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Wydział Inżynierii Lądowej i Transportu, Instytut Analizy Konstrukcji, Zakład Mechaniki Budowli, Politechnika Poznańska, Poland
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Faculty of Civil and Environmental Engineering and Transport, Institute of Structural Analysis, Poznan University of Technology, Poland
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Department of Structural Mechanics, Łódź University of Technology, Faculty of Civi Engineering, Architecture and Environmental Engineering, Poland
Submission date: 2024-05-08
Acceptance date: 2024-06-03
Publication date: 2025-06-16
Archives of Civil Engineering 2025;71(2):225-242
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ABSTRACT
The paper presents the problem of damage detection in steel girders. Static displacements at the selected point of the structure play the role of measured variables. Structural response signal decomposition is performed according to the Mallat pyramid algorithm, which is used to perform the discrete wavelet transform (DWT). This procedure allows us to quite well determine the location of structural damage. The geometry and the placement of any defective part of the structure may have a random character. It can be assumed that the random processes occurring in the broadly understood structure mechanics are Gaussian in nature. The first four probabilistic moments are estimated using three approaches independent: semi-analytical (SAM), perturbative (SPT), and Monte-Carlo simulations (MCS). The semi-analytical random approach seems to be the most optimal due to the necessary computation time.. The incorporation of the mathematical stochastic apparatus into the classical (deterministic) analysis of the statics of the structure makes it possible to estimate the reliability measures of the analyzed girder.