CONG Tenglong

CONG Tenglong is an Associate Professor in the School of Mechanical Engineering at Shanghai Jiao Tong University. His research interests include thermohydraulics and computational fluid dynamics. He has published numerous papers in reputable journals such as Annals of Nuclear Energy and Nuclear Engineering and Design. His work focuses on the analysis of steam generator thermohydraulics and the application of artificial neural networks in nuclear engineering problems.

Tenglong Cong is a researcher at Shanghai Jiao Tong University, specializing in fuel performance, multi-physics coupling, and two-phase CFD. His work focuses on the thermal-hydraulic behavior of nuclear systems, including subcooled boiling, critical heat flux (CHF), and flow characteristics in fuel assemblies. Cong's research integrates computational fluid dynamics (CFD) with artificial neural networks (ANNs) to model complex phenomena such as boiling heat transfer, turbulence effects, and phase interactions. He has investigated the performance of helical cruciform fuel, steam generator secondary side flow, and passive containment cooling systems. His studies contribute to improving nuclear reactor safety and efficiency through advanced numerical simulations.