徐浩

个人信息Personal Information

副教授

博士生导师

硕士生导师

性别:男

毕业院校:香港理工大学

学位:博士

所在单位:材料科学与工程学院

学科:计算力学. 航空航天力学与工程. 飞行器设计. 材料物理与化学. 高分子材料

办公地点:大连理工大学综合实验一号楼411A

联系方式:xuhao@dlut.edu.cn

电子邮箱:xuhao@dlut.edu.cn

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A novel damage characterization approach for laminated composites in the absence of material and structural information

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论文类型:期刊论文

发表时间:2020-12-29

发表刊物:MECHANICAL SYSTEMS AND SIGNAL PROCESSING

卷号:143

ISSN号:0888-3270

关键字:Composite laminate; Initial damage identification; Mode shape; Damage-caused force; Damage index; Laser scanning measurement

摘要:Laminated composites have been increasingly used in structural components. However, transverse impact to a composite laminate can cause initial damage such as notches and delamination, jeopardizing the integrity and safety of composite laminated structures. With this concern, this study proposes a novel damage characterization approach for the identification of initial damage in composite laminates, even in the absence of material and structural information. In particular, starting from the vibration equation of composite laminates, a novel concept of damage-caused force is formulated to characterize damage, and strategies of isotropization and normalization are further integrated to deal with the absence of material and structural information. Thereby, a baseline-free damage index is established using the damage-caused force, by which the presence, location, and size of initial damage in cross-ply composite laminates can be characterized without knowledge of material and structural parameters. The capability of the approach is numerically verified on carbon fiber-reinforced polymer (CFRP) laminates with a notch and a delamination, respectively. The applicability of the approach is experimentally validated by identifying a notch and a delamination in CFRP laminates, respectively. The CFRP laminates are excited by lead-zirconate-titanate (PZT) actuators and scanned by a scanning laser vibrometer (SLV) to acquire high-resolution mode shapes. Numerical and experimental results show that the proposed approach features high robustness to environmental noise and is capable of identifying initial damage in cross-ply composite laminates without prior material and structural information. (C) 2020 Elsevier Ltd. All rights reserved.