Vibration-based crack prediction on a beam model using hybrid butterfly optimization algorithm with artificial neural network

Author:

Khatir Abdelwahhab,Capozucca Roberto,Khatir Samir,Magagnini Erica

Publisher

Springer Science and Business Media LLC

Subject

Architecture,Civil and Structural Engineering

Reference47 articles.

1. Magagnini E, Khatir S. Effect of damage by notches in the vibration response of homogeneous and heterogeneous beam models. Lecture Notes in Civil Engineering, 2021, 148: 187–197

2. Capozucca R, Magagnini E. Analysis of cracked RC beams under vibration. Journal of Physics: Conference Series, 2017, 842(1): 012076

3. Kumar P, Siddiqui A, Ghadi A, Tony D, Rhenius S, Rane S. Damage detection in beams using vibration analysis and artificial neural network. In: 2021 4th Biennial International Conference on Nascent Technologies in Engineering (ICNTE). Chengdu: IEEE, 2021, 1–5

4. Seguini M, Khatir S, Boutchicha D, Nedjar D, Wahab M A. Crack prediction in pipeline using ANN-PSO based on numerical and experimental modal analysis. Smart Structures and Systems, 2021, 27: 507–523

5. Khatir S, Boutchicha D, Le Thanh C, Tran-Ngoc H, Nguyen T N, Abdel-Wahab M. Improved ANN technique combined with Jaya algorithm for crack identification in plates using XIGA and experimental analysis. Theoretical and Applied Fracture Mechanics, 2020, 107: 102554

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