Wavelet-based multiresolution analysis coupled with deep learning to efficiently monitor cracks in concrete

Autor: Sébastien Jacques, Ahcene Arbaoui, Abdeldjalil Ouahabi, Madina Hamiane

Publikováno v: Frattura ed Integrità Strutturale, Vol 15, Iss 58, Pp 33-47 (2021)
Frattura ed Integrità Strutturale; Vol. 15 No. 58 (2021): October 2021; 33-47
Frattura ed Integrità Strutturale; V. 15 N. 58 (2021): October 2021; 33-47
Frattura ed Integrità Strutturale / Fracture and Structural Integrity
Frattura ed Integrità Strutturale / Fracture and Structural Integrity, Università di Cassino, 2021, 15 (58), pp.33-47. ⟨10.3221/IGF-ESIS.58.03⟩
Frattura ed Integrità Strutturale / Fracture and Structural Integrity, 2021, 15 (58), pp.33-47. ⟨10.3221/IGF-ESIS.58.03⟩

International audience; This paper proposes an efficient methodology to monitor the formation of cracks in concrete after non-destructive ultrasonic testing of a structure. The objective is to be able to automatically detect the initiation of cracks

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3cd954275b6428c7a12652eb1273dcce
https://www.fracturae.com/index.php/fis/article/view/3050/3307

Concrete Cracks Detection and Monitoring Using Deep Learning-Based Multiresolution Analysis

Autor: Sébastien Jacques, Ahcene Arbaoui, Madina Hamiane, Abdeldjalil Ouahabi

Publikováno v: Electronics
Electronics, 2021, 10, ⟨10.3390/electronics10151772⟩
Electronics, Vol 10, Iss 1772, p 1772 (2021)
Volume 10
Issue 15
Electronics, Penton Publishing Inc., 2021, 10, ⟨10.3390/electronics10151772⟩

International audience; In this paper, we propose a new methodology for crack detection and monitoring in concrete structures. This approach is based on a multiresolution analysis of a sample or a specimen of concrete material subjected to several ty

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a00c7be3179f0134debc1c85bac68220
https://hal-univ-tours.archives-ouvertes.fr/hal-03300399/document