4.7 Article

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

期刊

出版社

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ymssp.2020.106831

关键词

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

资金

  1. National Natural Science Foundation of China [11772115, 51708173, 51875492, 51635008]
  2. China Postdoctoral Science Foundation [2018T110433]
  3. Hong Kong Scholars Program [XJ2018042]

向作者/读者索取更多资源

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.

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