Shanbin Shi
Rensselaer Polytechnic Institute
ESI19 Shanbin Shi Quadchart
The ultimate goal of the proposed project is to provide an integrated computational toolkit for NASA scientists to efficiently and accurately predict the long-term cryogenic propellant behavior in storage tanks for space mission planning. The toolkit will leverage capabilities of existing Computational Fluid Dynamics (CFD) and nodal codes used by NASA for cryogenic propellant analysis with new efficient coupling approaches and accurate fluid dynamics and heat transfer correlations. To realize this goal, three key and central objectives are proposed: (1) enhance the accuracy of nodal models for fast simulation of complex two-phase cryogen systems by implementing physics-informed correlations or reduced thermal models based on high-fidelity reference simulations, (2) facilitate efficient use of the CFD and nodal codes for prediction of the long-term cryogenic propellant storage, and (3) deliver a fully validated analysis tool accounting for accuracy and computational speed while satisfying NASA’s need for mission operations.