Shape Optimization Using Adjoint Variable Method for Reducing Drag
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概要
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To decrease the fluid drag force on the surface of a specified object subjected to unsteady flow, under a constant volume condition, the adjoint variable method is formulated by using FEM. Based on the Lagrange multiplier method (a conditional variational principle), this method consists of the state equation, the adjoint equation and the sensitivity equation. To solve the equations effectively using the steepest descent method, a parallel algorithm is constructed. The shape optimization code for solving a 3D problem using a parallel algorithm was implemented on PC cluster using the HEC-MW library(1). Results show that, by using shape optimization, the fluid drag force located in Reynolds number 250 can be reduced by about 38.1%.
著者
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OKUDA Hiroshi
Research and Education Center for Materials Science, Nara Institute of Science and Technology
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Ito Satoshi
Institute Of Plasma Physics Nagoya University
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OKUDA Hiroshi
Research into Artifacts, Center for Engineering, University of Tokyo
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NAKAJIMA Norihiro
Center for Computational Science & e-Systems, JAEA
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SHINOHARA Kazunori
Intelligent Modeling Laboratory, University of Tokyo
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IDA Masato
Center for Computational Science & e-Systems, JAEA
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