subject: ccat subject: asphalt pavement creator: Imad Al-Qadi
10.4231/WEYJ-EG42
Aravind Ramakrishnan , Ashraf Alrajhi , Hasan Ozer , Imad Al-Qadi
09/05/2023
The main goal of the study was to understand the effect of truck platoons qualitatively and quantitatively on pavement distresses.
10.4231/Z5RS-KZ82
Angeli Jayme , Aravind Ramakrishnan , Fangyu Liu , Imad Al-Qadi
12/02/2024
This study utilized a conventional Burger’s model, incorporating a nonlinear power-law dashpot. A new load-pass approach enabled a reduction in computational domain and cost. A graph neural network was established to extend the framework.
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