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- W2034874064 abstract "Methods based on distributed surface singularities have gained great acceptance throughout the industry. Commonly known as surface panel methods, these tools are applicable to a wide range of aerodynamic problems related to incompressible flows. They have achieved their popularity in large part to the relative ease with which the corresponding problems can be set up by the user. Yet. due to their natural computational complexity, O(N), they have been traditionally restricted to relatively small cases; previously, a problem with 20, 000 panels was considered to be extremely large in terms of computational expense. A new algorithm has been developed and is presented herein for this mature, well proven methodology. Through comparisons with a known exact solution, the accuracy of the new method is shown to be consistant with that of the classical approach. The operation count of the new algorithm scales with O(N log(AT)). This is verified with results on a torus whose surface definition is systematically refined from 1,024 to 1,048,576 panels. The fundamental build-up and description of the new algorithm is provided and is compared with similar techniques developed in the fields of: particle simulations, astrophysics and electronics. For internal flows, such as in fCo-Foundcr, HydroAero Consulting Group: Senior Member, AIAA; Senior Principal Engineer, Douglas Aircraft Co. AIAA Paper 97-0168 Copyright ©1997 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved the case of the torus, it is shown that a very large number of panels are required. Solutions about a Whitbread-race sailboat design (underwater components) and a generic Indy 500 race car configuration are also provided. Characteristics of the race car problem illustrate the robustness of present method's iterative solver." @default.
- W2034874064 created "2016-06-24" @default.
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- W2034874064 date "1997-01-06" @default.
- W2034874064 modified "2023-10-18" @default.
- W2034874064 title "A fast surface-panel method capable of solving million-element problems" @default.
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- W2034874064 doi "https://doi.org/10.2514/6.1997-168" @default.
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