FAST Modular Wind Turbine CAE Tool [electronic resource] : Nonmatching Spatial and Temporal Meshes Preprint.

Numerical Algorithms; Computer-Aided Engineering (Cae); Wind Turbines; Coupling Modules; Mesh; Wind Energy; Computational Sciences.

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Bibliographic Details
Online Access: Online Access (via OSTI)
Corporate Author: National Renewable Energy Laboratory (U.S.) (Researcher)
Format: Government Document Electronic eBook
Language:English
Published: Washington, D.C. : Oak Ridge, Tenn. : Wind and Hydropower Technologies Program (U.S.) ; distributed by the Office of Scientific and Technical Information, U.S. Department of Energy, 2014.
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Description
Summary:Numerical Algorithms; Computer-Aided Engineering (Cae); Wind Turbines; Coupling Modules; Mesh; Wind Energy; Computational Sciences.
Abstract:In this paper we propose and examine numerical algorithms for coupling time-dependent multi-physics modules relevant to computer-aided engineering (CAE) of wind turbines. In particular, we examine algorithms for coupling modules where spatial grids are non- matching at interfaces and module solutions are time advanced with different time increments and different time integrators. Sharing of data between modules is accomplished with a predictor-corrector approach, which allows for either implicit or explicit time integration within each module. Algorithms are presented in a general framework, but are applied to simple problems that are representative of the systems found in a whole-turbine analysis. Numerical experiments are used to explore the stability, accuracy, and efficiency of the proposed algorithms. This work is motivated by an in-progress major revision of FAST, the National Renewable Energy Laboratory's (NREL's) premier aero-elastic CAE simulation tool. The algorithms described here will greatly increase the flexibility and efficiency of FAST.
Item Description:Published through SciTech Connect.
01/01/2014.
"nrel/cp-2c00-60742"
To be presented at SciTech2014, 13-17 January 2014, National Harbor, Maryland.
Sprague, M. A.; Jonkman, J. M.; Jonkman, B. J.
Physical Description:26 pp. : digital, PDF file.