Numerical and experimental research on damage shape recognition of aluminum alloy plate based on Lamb wave
| Autor: | Dinghe Li, Yaogang Wu, Xing Shen |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Materials science
Mechanical Engineering Acoustics Structure health monitoring Alloy chemistry.chemical_element 02 engineering and technology engineering.material 021001 nanoscience & nanotechnology Experimental research 020303 mechanical engineering & transports Lamb waves 0203 mechanical engineering chemistry Aluminium engineering General Materials Science 0210 nano-technology Recognition algorithm |
| Zdroj: | Journal of Intelligent Material Systems and Structures. 32:2273-2288 |
| ISSN: | 1530-8138 1045-389X |
| DOI: | 10.1177/1045389x21990885 |
| Popis: | The structure health monitoring (SHM) system with Lamb waves technique is studied numerically and experimentally in this paper. A damage shape recognition algorithm (DSRA) is developed for the hole on aluminum alloy plate specimen. The proposed DSRA is established based on the two arrival time difference method (2/ATDM) and Lagrangian optimization method. This method captures the damage shape by describing the coordinates of the reflection point from the piezoelectric ceramic lead zirconate titanate (PZT) transducers to the damage edge. 2/ATDM provides a way to obtain coordinate points by the arrival time which is determined by Lamb waves. And the coordinate points are optimized by the Lagrangian optimization method. A numerical model is established to simulate the proposed experiment process. Its convergence rate of mesh size and time steps is investigated, and the numerical results are verified by these of experiment. Hence, the shape recognition of damage occurring at an arbitrary position and that of irregular damage are studied by the proposed numerical and experiment methods. |
| Databáze: | OpenAIRE |
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