Evaluation of Heat-Induced Damage in Concrete Using Machine Learning of Ultrasonic Pulse Waves

This study investigated the applicability of using ultrasonic wave signals in detecting early fire damage in concrete. This study analyzed the reliability of using the linear (wave velocity) and nonlinear (coherence) parameters from ultrasonic pulse measurements and the applicability of machine lear...

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Detalles Bibliográficos
Autores principales: Candelaria, Ma. Doreen Esplana, Chua, Nhoja Marie Miranda, Kee, Seong-Hoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9692534/
https://www.ncbi.nlm.nih.gov/pubmed/36431399
http://dx.doi.org/10.3390/ma15227914

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9692534/
https://www.ncbi.nlm.nih.gov/pubmed/36431399
http://dx.doi.org/10.3390/ma15227914

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