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Your search keyword '"Boutchicha, Djilali"' showing total 3 results
Start Over Author "Boutchicha, Djilali" Topic experimental analysis
3 results on '"Boutchicha, Djilali"'

1. Experimental and Numerical Vibration Analyses of Healthy and Cracked Pipes

Author

Seguini, Meriem, Boutchicha, Djilali, Khatir, Samir, Nedjar, Djamel, Thanh, Cuong-Le, Abdel Wahab, Magd, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Bui, Tinh Quoc, editor, Cuong, Le Thanh, editor, and Khatir, Samir, editor

Published
2021
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3. Crack prediction in beam-like structure using ANN based on frequency analysis

Author

Meriem Seguini, Nedjar Djamel, Boutchicha Djilali, Samir Khatir, and Magd Abdel Wahab

Subjects
Notched steel beam, Finite element method, Technology and Engineering, Materials science, finite element method, pso, TA630-695, Structure (category theory), machine learning method, Physics::Geophysics, law.invention, law, TJ1-1570, Dynamic analysis, Mechanical engineering and machinery, Sensitivity (control systems), MATLAB, ann, Experimental model analysis, computer.programming_language, Frequency analysis, experimental model analysis, Structural engineering (General), IDENTIFICATION, Computer simulation, notched steel beam, business.industry, Mechanical Engineering, Numerical analysis, PSO, Structural engineering, dynamic analysis, experimental analysis, Physics::Classical Physics, modal analysis, Mechanics of Materials, ANN, business, computer, Beam (structure)
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.

Published
2021

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