Spectral element/smoothed profile method for turbulent flow simulations of waterjet propulsion systems
Name
Chryssostomidis_Spectral element.pdf
Size
21.77 MB
Format
Adobe PDF
Checksum (MD5)
b60c6af2e486fa72c48fca8b828dcdc6
Author(s) • •
Luo, Xian
Chryssostomidis, Chryssostomos
Karniadakis, George E.
Date Issued
July 2010
Journal
Proceedings of the 2010 Conference on Grand Challenges in Modeling & Simulation, GCMS '10
Publisher
Society for Modeling & Simulation International
Citation
Luo, Xian, Chryssostomos Chryssostomidis, and George Em Karniadakis. "Spectral element/smoothed profile method for turbulent flow simulations of waterjet propulsion Proceedings of the 2010 Conference on Grand Challenges in Modeling & Simulation, GCMS '10, Ottawa, ON, Canada, July 11-14, 2010.
Version
Author's final manuscript
Abstract
We have developed fast numerical algorithms [1] for flows with complex moving domains, e.g. propellers in free-space and impellers in waterjets, by combining the smoothed profile method (SPM, [2, 3, 4]) with the spectral element method [5]. The new approach exhibits high-order accuracy with respect to both temporal and spatial discretizations. Most importantly, the method yields great computational efficiency as it uses fixed simple Cartesian grids and hence it avoids body-conforming mesh and remeshing. To simulate high Reynolds number flows, we incorporate the Spalart-Allmaras turbulence model and solve the unsteady Reynolds-averaged Navier-Stokes (URANS) equations. We present verification of the method by studying the turbulent boundary layer over a flat plate. We show that both the eddy viscosity and velocity fields are resolved very accurately within the boundary layer. Having developed and validated our numerical approach, we apply it to study transitional and turbulent flows in an axial-flow waterjet propulsion system. The efficiency and robustness of our method enable parametric study of many cases which is required in design phase. We present performance analysis and show the agreement with experimental data for waterjets.
MIT Department
Massachusetts Institute of Technology. Sea Grant College Program
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike 3.0
Persistent DSpace Link
DOI of Published Version
http://dl.acm.org/citation.cfm?id=2020637