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AuthorAbdelhedi, Mohamed
AuthorJabbar, Rateb
AuthorAbbes, Chedly
Available date2023-08-27T05:58:12Z
Publication Date2023
Publication Name2nd International Conference on Civil Infrastructure and Construction
CitationAbdelhedi M., Jabbar R. & Abbes C., "Exploration of Carbonate Aggregates in Road Construction using Ultrasonic and Artificial Intelligence Approaches", The 2nd International Conference on Civil Infrastructure and Construction (CIC 2023), Doha, Qatar, 5-8 February 2023, DOI: https://doi.org/10.29117/cic.2023.0096
ISSN2958-3128
URIhttps://doi.org/10.29117/cic.2023.0096
URIhttp://hdl.handle.net/10576/46799
AbstractThe COVID-19 pandemic has significantly impacted the construction sector, which is highly sensitive to economic cycles. In order to boost value and efficiency in this sector, the use of innovative exploration technologies such as ultrasonic and Artificial Intelligence techniques in building material research is becoming increasingly crucial. In this study, we developed two models for predicting the Los Angeles (LA) and Micro Deval (MDE) coefficients, the two important geo-technical tests used to determine the quality of carbonate rock aggregates. These coefficients describe the resistance of aggregates to fragmentation and abrasion. The ultrasound velocity, porosity, and density of the rocks were determined and used as inputs to develop prediction models using multiple regressions and an artificial neural network. These models may be used to assess the quality of rock aggregates at the exploration stage without the need for tedious laboratory analysis.
Languageen
PublisherQatar University Press
SubjectUltrasonic pulse velocity
Los Angeles (LA) coefficient
Micro Deval (MDE) coefficient
Carbonates
Rock aggregates
Artificial Intelligence
TitleExploration of Carbonate Aggregates in Road Construction using Ultrasonic and Artificial Intelligence Approaches
TypeConference Paper
Pagination736-742
ESSN2958-3136
dc.accessType Open Access


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