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

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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.
Keywords
Mechanical Engineering, Mechanics of Materials, Notched steel beam, Finite element method, Dynamic analysis, Experimental model analysis, ANN, PSO, IDENTIFICATION

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MLA
Seguini, Meriem, et al. “Crack Prediction in Beam-like Structure Using ANN Based on Frequency Analysis.” FRATTURA ED INTEGRITA STRUTTURALE-FRACTURE AND STRUCTURAL INTEGRITY, vol. 16, no. 59, 2022, pp. 18–34, doi:10.3221/igf-esis.59.02.
APA
Seguini, M., Djamel, N., Djilali, B., Khatir, S., & Abdel Wahab, M. (2022). Crack prediction in beam-like structure using ANN based on frequency analysis. FRATTURA ED INTEGRITA STRUTTURALE-FRACTURE AND STRUCTURAL INTEGRITY, 16(59), 18–34. https://doi.org/10.3221/igf-esis.59.02
Chicago author-date
Seguini, Meriem, Nedjar Djamel, Boutchicha Djilali, Samir Khatir, and Magd Abdel Wahab. 2022. “Crack Prediction in Beam-like Structure Using ANN Based on Frequency Analysis.” FRATTURA ED INTEGRITA STRUTTURALE-FRACTURE AND STRUCTURAL INTEGRITY 16 (59): 18–34. https://doi.org/10.3221/igf-esis.59.02.
Chicago author-date (all authors)
Seguini, Meriem, Nedjar Djamel, Boutchicha Djilali, Samir Khatir, and Magd Abdel Wahab. 2022. “Crack Prediction in Beam-like Structure Using ANN Based on Frequency Analysis.” FRATTURA ED INTEGRITA STRUTTURALE-FRACTURE AND STRUCTURAL INTEGRITY 16 (59): 18–34. doi:10.3221/igf-esis.59.02.
Vancouver
1.
Seguini M, Djamel N, Djilali B, Khatir S, Abdel Wahab M. Crack prediction in beam-like structure using ANN based on frequency analysis. FRATTURA ED INTEGRITA STRUTTURALE-FRACTURE AND STRUCTURAL INTEGRITY. 2022;16(59):18–34.
IEEE
[1]
M. Seguini, N. Djamel, B. Djilali, S. Khatir, and M. Abdel Wahab, “Crack prediction in beam-like structure using ANN based on frequency analysis,” FRATTURA ED INTEGRITA STRUTTURALE-FRACTURE AND STRUCTURAL INTEGRITY, vol. 16, no. 59, pp. 18–34, 2022.
@article{8739223,
  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.}},
  author       = {{Seguini, Meriem and Djamel, Nedjar and Djilali, Boutchicha and Khatir, Samir and Abdel Wahab, Magd}},
  issn         = {{1971-8993}},
  journal      = {{FRATTURA ED INTEGRITA STRUTTURALE-FRACTURE AND STRUCTURAL INTEGRITY}},
  keywords     = {{Mechanical Engineering,Mechanics of Materials,Notched steel beam,Finite element method,Dynamic analysis,Experimental model analysis,ANN,PSO,IDENTIFICATION}},
  language     = {{eng}},
  number       = {{59}},
  pages        = {{18--34}},
  title        = {{Crack prediction in beam-like structure using ANN based on frequency analysis}},
  url          = {{http://doi.org/10.3221/igf-esis.59.02}},
  volume       = {{16}},
  year         = {{2022}},
}

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