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المؤلفAbdelhedi, Mohamed
المؤلفJabbar, Rateb
المؤلفAbbes, Chedly
تاريخ الإتاحة2023-08-27T05:58:12Z
تاريخ النشر2023
اسم المنشور2nd International Conference on Civil Infrastructure and Construction
الاقتباسAbdelhedi 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
الرقم المعياري الدولي للكتاب2958-3128
معرّف المصادر الموحدhttps://doi.org/10.29117/cic.2023.0096
معرّف المصادر الموحدhttp://hdl.handle.net/10576/46799
الملخصThe 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.
اللغةen
الناشرQatar University Press
الموضوعUltrasonic pulse velocity
Los Angeles (LA) coefficient
Micro Deval (MDE) coefficient
Carbonates
Rock aggregates
Artificial Intelligence
العنوانExploration of Carbonate Aggregates in Road Construction using Ultrasonic and Artificial Intelligence Approaches
النوعConference Paper
الصفحات736-742
ESSN2958-3136
dc.accessType Open Access


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