高强

个人信息Personal Information

教授

博士生导师

硕士生导师

性别:男

毕业院校:大连理工大学

学位:博士

所在单位:力学与航空航天学院

学科:固体力学. 计算力学. 工程力学

办公地点:综合实验1号楼523

联系方式:qgao@dlut.edu.cn

电子邮箱:qgao@dlut.edu.cn

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A novel inversion approach for identifying the shape of cavity by combining Gappy POD with direct inversion scheme

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论文类型:期刊论文

发表时间:2020-04-01

发表刊物:INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER

收录刊物:EI、SCIE

卷号:150

ISSN号:0017-9310

关键字:Identification of cavity shape; Gappy proper orthogonal decomposition; Direct inversion; Adaptive modified virtual boundary

摘要:A novel inversion method is proposed for the identification of cavity shape by combining Gappy proper orthogonal decomposition (POD) with a direct inversion scheme. Firstly, the virtual boundary is introduced to construct a new computing domain, and the virtual boundary condition formed by polynomial of increasing order one by one is imposed on the virtual boundary, and then the needed snapshot to generate the POD vector is calculated with the boundary element method (BEM). Secondly, the full-field temperature data are reconstructed by Gappy POD using partial measurement data. Finally, the shape of cavity is identified by searching the isothermal. In order to improve the ability of the proposed method to adapt to the inversion of complex geometry problems, we propose an adaptive modified virtual boundary technique. Numerical examples show that the present method even for complex geometry such as pear shape, can not only obtain high precision inversion results, but also has a good tolerance of noise. (C) 2020 Elsevier Ltd. All rights reserved.