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Computation 2018, 6(1), 17; https://doi.org/10.3390/computation6010017

A Localized Meshless Technique for Generating 3-D Wind Fields

Department of Mechanical Engineering, University of Nevada, 89154 Las Vegas, NV, USA
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Received: 22 December 2017 / Revised: 31 January 2018 / Accepted: 1 February 2018 / Published: 8 February 2018
(This article belongs to the Special Issue Computational Methods in Wind Engineering)
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Abstract

A localized meshless method is used to simulate 3-D atmospheric wind fields for wind energy assessment and emergency response. The meshless (or mesh-free) method with radial basis functions (RBFs) alleviates the need to create a mesh required by finite difference, finite volume, and finite element methods. The method produces a fast solution that converges with high accuracy, establishing 3-D wind estimates over complex terrain. The method does not require discretization of the domain or boundary and removes the need for domain integration. The meshless method converges exponentially for smooth boundary shapes and boundary data, and is insensitive to dimensional constraints. Coding of the method is very easy and can be done using MATLAB or MAPLE. By employing a localized RBF procedure, 3-D wind fields can be established from sparse meteorological data. The meshless method can be easily run on PCs and hand-held mobile devices. This article summarizes previous work where the meshless method has successfully simulated 3D wind fields over various environments, along with the equations used to obtain the simulations. View Full-Text
Keywords: meshless; 3-D wind field; localized RBF; radial basis functions meshless; 3-D wind field; localized RBF; radial basis functions
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Pepper, D.W.; Ramos Gonzalez, M. A Localized Meshless Technique for Generating 3-D Wind Fields. Computation 2018, 6, 17.

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