Crack prediction in beam-like structure using ANN based on frequency analysis
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 h...
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| Format: | Article |
| Language: | English |
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Gruppo Italiano Frattura
2021-12-01
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| Series: | Fracture and Structural Integrity |
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| Online Access: | https://www.fracturae.com/index.php/fis/article/view/3239 |
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| author | Meriem Seguini Nedjar Djamel Boutchicha Djilali Samir Khatir Magd Abdel Wahab |
| author_facet | Meriem Seguini Nedjar Djamel Boutchicha Djilali Samir Khatir Magd Abdel Wahab |
| author_sort | Meriem Seguini |
| collection | DOAJ |
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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.
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| format | Article |
| id | doaj-art-dcfd6b93dd1f4128b58098ca0f258c3a |
| institution | Kabale University |
| issn | 1971-8993 |
| language | English |
| publishDate | 2021-12-01 |
| publisher | Gruppo Italiano Frattura |
| record_format | Article |
| series | Fracture and Structural Integrity |
| spelling | doaj-art-dcfd6b93dd1f4128b58098ca0f258c3a2025-01-02T20:54:01ZengGruppo Italiano FratturaFracture and Structural Integrity1971-89932021-12-011659Crack prediction in beam-like structure using ANN based on frequency analysisMeriem Seguini0Nedjar Djamel1Boutchicha Djilali2Samir Khatir3Magd Abdel Wahab4University 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 EngineeringUniversity 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 EngineeringUniversity of Sciences and Technology of Oran Mohamed Boudiaf USTO-MB, Algeria LMA, Mechanical Engineering Department,USTO-MB, Bp 1055 EL Menaour, Oran 31000, AlgeriaSoete Laboratory, Faculty of Engineering and Architecture, Ghent University, TechnologieparkZwijnaarde 903, B-9052 Zwijnaarde, BelgiumSoete Laboratory, Faculty of Engineering and Architecture, Ghent University, TechnologieparkZwijnaarde 903, B-9052 Zwijnaarde, Belgium 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. https://www.fracturae.com/index.php/fis/article/view/3239Notched steel beamFinite element methodDynamic analysisExperimental model analysisANNPSO |
| spellingShingle | Meriem Seguini Nedjar Djamel Boutchicha Djilali Samir Khatir Magd Abdel Wahab Crack prediction in beam-like structure using ANN based on frequency analysis Fracture and Structural Integrity Notched steel beam Finite element method Dynamic analysis Experimental model analysis ANN PSO |
| title | Crack prediction in beam-like structure using ANN based on frequency analysis |
| title_full | Crack prediction in beam-like structure using ANN based on frequency analysis |
| title_fullStr | Crack prediction in beam-like structure using ANN based on frequency analysis |
| title_full_unstemmed | Crack prediction in beam-like structure using ANN based on frequency analysis |
| title_short | Crack prediction in beam-like structure using ANN based on frequency analysis |
| title_sort | crack prediction in beam like structure using ann based on frequency analysis |
| topic | Notched steel beam Finite element method Dynamic analysis Experimental model analysis ANN PSO |
| url | https://www.fracturae.com/index.php/fis/article/view/3239 |
| work_keys_str_mv | AT meriemseguini crackpredictioninbeamlikestructureusingannbasedonfrequencyanalysis AT nedjardjamel crackpredictioninbeamlikestructureusingannbasedonfrequencyanalysis AT boutchichadjilali crackpredictioninbeamlikestructureusingannbasedonfrequencyanalysis AT samirkhatir crackpredictioninbeamlikestructureusingannbasedonfrequencyanalysis AT magdabdelwahab crackpredictioninbeamlikestructureusingannbasedonfrequencyanalysis |