H. Nguyen

Artificial intelligence‐based prediction of cooling pipe system parameters for thermal field control and crack prevention in mass concrete structures

The pile cap of a bridge pier is susceptible to thermal cracking caused by heat generated during cement hydration at early ages. Although numerical and machine‐learning methods have been used to analyze the thermal behavior of mass concrete with cooling pipe systems (CPSs), an integrated approach for rapid predicti...