3 citations · 9 across the 5 of their papers we have counts for
5 papers
Systems-theoretic Hazard Analysis of Digital Human-System Interface Relevant to Reactor Trip
Edward Chen, Han Bao, Tate Shorthill +2
Human-system interface is one of the key advanced design features applied to modern digital instrumentation and control systems of nuclear power plants. The conventional design is…
Deep Learning Interfacial Momentum Closures in Coarse-Mesh CFD Two-Phase Flow Simulation Using Validation Data
Han Bao, Jinyong Feng, Nam Dinh +1
Multiphase flow phenomena have been widely observed in the industrial applications, yet it remains a challenging unsolved problem. Three-dimensional computational fluid dynamics (C…
A Redundancy-Guided Approach for the Hazard Analysis of Digital Instrumentation and Control Systems in Advanced Nuclear Power Plants
Tate Shorthill, Han Bao, Hongbin Zhang +1
Digital instrumentation and control (I&C) upgrades are a vital research area for nuclear industry. Despite their performance benefits, deployment of digital I&C in nuclear power pl…
Using Deep Learning to Explore Local Physical Similarity for Global-scale Bridging in Thermal-hydraulic Simulation
Han Bao, Nam Dinh, Linyu Lin +3
Current system thermal-hydraulic codes have limited credibility in simulating real plant conditions, especially when the geometry and boundary conditions are extrapolated beyond th…
Computationally Efficient CFD Prediction of Bubbly Flow using Physics-Guided Deep Learning
Han Bao, Jinyong Feng, Nam Dinh +1
To realize efficient computational fluid dynamics (CFD) prediction of two-phase flow, a multi-scale framework was proposed in this paper by applying a physics-guided data-driven ap…