Data-driven optimization of sparse sensor placement in thermal hydraulic experiments

Xicheng Wang, Yun. Feng, Dmitry Grishchenko +3

Thermal-Hydraulic (TH) experiments provide valuable insight into the physics of heat and mass transfer and qualified data for code development, calibration and validation. However,…