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博士生导师

硕士生导师

任职 : 国家重大专项专家组成员、教育部热防护专业组组长、国际华人计算力学协会理事、中国航空学会理事、中国航空学会强度与设计专业委员会委员、国际边界单元法协会会员、教育部高等学校航空航天类专业教学指导委员会委员

性别:男

毕业院校:Glasgow University

学位:博士

所在单位:力学与航空航天学院

办公地点:海宇楼403A

联系方式:0411-84706332

电子邮箱:xwgao@dlut.edu.cn

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A reduced-order modelling for real-time identification of damages in multi-layered composite materials

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论文类型:期刊论文

发表时间:2021-03-05

发表刊物:INVERSE PROBLEMS IN SCIENCE AND ENGINEERING

卷号:29

期号:1

页面范围:73-94

ISSN号:1741-5977

关键字:Damage detection; reduced-order model; nonlinear heat transfer inverse problem; multi-layer materials; Proper Orthogonal Decomposition

摘要:This work is focused on the detection of interlayer damages in multi-layer composite materials, which use the inverse analysis approach based on the reduced-order models (ROMs). Direct problems including heat conduction through the solid and heat radiation to the space are solved by finite element method (FEM), and the solutions of transient nonlinear analysis are collected to build the snapshot data matrix. The Proper Orthogonal Decomposition (POD) method coupled with two surrogate models are utilized to construct a low dimensional model which can be used to rebuild physical fields. By minimizing the discrepancy of measured and simulated temperatures using ROMs, the optimal parameter values related to damages can be estimated efficiently. Results prove that an excellent estimation on the position of damages can be obtained in the multi-layer materials. The computational efficiency and solution accuracy of two ROMs are compared, which proves that the POD-Kriging method has faster convergence speed than the POD-RBF method, with the same fitness value. Moreover, noise analysis validates that two ROMs have similar stability, whereas the POD-Kriging method is easier to achieve convergence in this type of problems.