Further development and validation of an efficient hybrid-BEM-LBM model for fluid-structure interaction problems
Abstract
This proposal is submitted as both a continuation and an extension of scope of an initialproject aimed at developing and validating an efficient hybrid-BEM-LBM model forfluid-structure interaction problems. This initial project was funded by ONR at theUniversity of Rhode Island (URI) between 2013 and 2016 (grant N000141310687; PI: S.Grilli, co-PI: J. Dahl).In view of progress made on tasks and objectives and very promising results obtainedduring the initial ONR project, in this project, we will continue working towards the sameoverall goal ~to develop a new hybrid modeling system (combining FNPF/BEM and NSLES/LBM models) based on more efficient algorithms (in particular in the context ofheavily parallel mixed CPU-GPGPU computers) for solving fluid-structure interactionproblems of interest to the Navy (and to Navatek Ltd., which is our industrial collaboratorand partner in this work).~Specifically: (i) the BEM model will be extended to model more complex and actual shipgeometries; (ii) we will complete the processing and use results of validation experimentsfor an advancing surface piercing NACA 0012 foil, performed at URI; (iii) we willfurther develop/improve Lattice Boltzmann (LBM) code ELBE (LES modeling ofturbulent flows, and 2nd-order bounce back scheme with wall function for rigid bodyboundary condition); (iv) we will complete the development and validation of the hybridNWT-LBM solver (with forcing from BEM solution); (v) we will develop and implementa fast solver as well as a hybrid NWT-LBM module into the AEGIR model system; (vi)we will work on related problems of Navy interest (lifting surfaces, wake, shape bodieswith changing shape,~); and finally (vii) we will optimize the efficiency/scalability ofboth the BEM and hybrid models on medium size CPU clusters with single or doubleGPGPUs; and we will proceed similarly for the complete hybrid model.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Sep 23, 2016
- Source ID
- N000141612970
Entities
People
- Stephan T Grilli
Organizations
- Office of Naval Research
- United States Navy
- University of Rhode Island