The lattice Boltzmann equation is briefly introduced using moments to clearly separate the propagation and collision steps in the dynamics. In order to identify unknown parameters we introduce a cost function and adapt control theory to the lattice Boltzmann equation to get expressions for the derivatives of the cost function vs. parameters. This leads to an equivalent of the adjoint method with the definition of an adjoint lattice Boltzmann equation. To verify the general expressions for the derivatives, we consider two elementary situations: a linearized Poiseuille flow to show that the method can be used to optimize parameters, and a nonlinear situation in which a transverse shear wave is advected by a mean uniform flow. We indicate in the conclusion how the method can be used for more realistic situations. (C) 2005 Elsevier Ltd. All rights reserved.
机构:
China Univ Petr, State Key Lab Petr Resources & Prospecting, Beijing 102249, Peoples R ChinaChina Univ Petr, State Key Lab Petr Resources & Prospecting, Beijing 102249, Peoples R China
Guo, Long
Xiao, Lizhi
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China Univ Petr, State Key Lab Petr Resources & Prospecting, Beijing 102249, Peoples R ChinaChina Univ Petr, State Key Lab Petr Resources & Prospecting, Beijing 102249, Peoples R China
Xiao, Lizhi
Shan, Xiaowen
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China Univ Petr, State Key Lab Petr Resources & Prospecting, Beijing 102249, Peoples R China
Beijing Aeronaut Sci & Technol Res Inst COMAC, Beijing 102211, Peoples R ChinaChina Univ Petr, State Key Lab Petr Resources & Prospecting, Beijing 102249, Peoples R China
Shan, Xiaowen
Zhang, Xiaoling
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China Natl Petr Cooperat, Res Inst Petr Explorat & Dev, Beijing 100083, Peoples R ChinaChina Univ Petr, State Key Lab Petr Resources & Prospecting, Beijing 102249, Peoples R China
机构:
Inst. of Computational Mathematics, Acad. of Math. and System Sciences, Chinese Academy of Sciences, Beijing 100080, China
Department of Mathematics, Jilin University, Changchun 130023, ChinaInst. of Computational Mathematics, Acad. of Math. and System Sciences, Chinese Academy of Sciences, Beijing 100080, China
Yan, Guangwu
Ruan, Li
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Inst. of Computational Mathematics, Acad. of Math. and System Sciences, Chinese Academy of Sciences, Beijing 100080, ChinaInst. of Computational Mathematics, Acad. of Math. and System Sciences, Chinese Academy of Sciences, Beijing 100080, China