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Crack prediction in beam-like structure using ANN based on frequency analysis

Authors

  • Meriem Seguini University of Sciences and Technology of Oran Mohamed Boudiaf USTO-MB, Bp 1055 EL Menaour, Oran 31000, Algeria Laboratory of Mechanic of Structures and Stability of Constructions LM2SC, Faculty of Architecture and Civil Engineering
  • Nedjar Djamel University of Sciences and Technology of Oran Mohamed Boudiaf USTO-MB, Bp 1055 EL Menaour, Oran 31000, Algeria Laboratory of Mechanic of Structures and Stability of Constructions LM2SC, Faculty of Architecture and Civil Engineering
  • Boutchicha Djilali University of Sciences and Technology of Oran Mohamed Boudiaf USTO-MB, Algeria LMA, Mechanical Engineering Department,USTO-MB, Bp 1055 EL Menaour, Oran 31000, Algeria
  • Samir Khatir Soete Laboratory, Faculty of Engineering and Architecture, Ghent University, TechnologieparkZwijnaarde 903, B-9052 Zwijnaarde, Belgium
  • Magd Abdel Wahab Soete Laboratory, Faculty of Engineering and Architecture, Ghent University, TechnologieparkZwijnaarde 903, B-9052 Zwijnaarde, Belgium https://orcid.org/0000-0002-3610-865X

DOI:

https://doi.org/10.3221/IGF-ESIS.59.02

Keywords:

Notched steel beam, Finite element method, Dynamic analysis, Experimental model analysis, ANN, PSO

Abstract

The dynamic experimental and numerical analysis of cracked beams has been studied with the aim of quantifying the influence of depth crack on the dynamic response of steel beams. Artificial Neural Method ANN has been used where a numerical simulation was improved in Matlab. A finite element model has also been developed by using the Ansys software, and the obtained results were compared with exact crack length. The study takes into account different hidden layer values in order to determine the sensitivity of the predicted crack depth.  The results show that the response of the beam (frequencies) is strongly related to the crack depth which significantly affects the beam behavior, especially when the crack is very deep where the ANN allows us to identify the crack in lower computational time. Based on the provided results, we can detect that the effect of hidden layer size can affect the results.

 

Issue

Section

SI: Steels and Composites for Engineering Structures

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