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Steel and Composite Structures Volume 42, Number 2, January25 2022 , pages 151-159 DOI: https://doi.org/10.12989/scs.2022.42.2.151 |
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Composite components damage tracking and dynamic structural behaviour with AI algorithm |
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Z.Y. Chen, Sheng-Hsiang Peng, Yahui Meng, Ruei-Yuan Wang, Qiuli Fu and Timothy Chen
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| Abstract | ||
| This study discusses a hypothetical method for tracking the propagation damage of Carbon Reinforced Fiber Plastic (CRFP) components underneath vibration fatigue. The High Cycle Fatigue (HCF) behavior of composite materials was generally not as severe as this of admixture alloys. Each fissure initiation in metal alloys may quickly lead to the opposite. The HCF behavior of composite materials is usually an extended state of continuous degradation between resin and fibers. The increase is that any layer-to-layer contact conditions during delamination opening will cause a dynamic complex response, which may be non-linear and dependent on temperature. Usually resulted from major deformations, it could be properly surveyed by a non-contact investigation system. Here, this article discusses the scanning laser application of that vibrometer to track the propagation damage of CRFP components underneath fatigue vibration loading. Thus, the study purpose is to demonstrate that the investigation method can implement systematically a series of hypothetical means and dynamic characteristics. The application of the relaxation method based on numerical simulation in the Artificial Intelligence (AI) Evolved Bat (EB) strategy to reduce the dynamic response is proved by numerical simulation. Thermal imaging cameras are also measurement parts of the chain and provide information in qualitative about the temperature location of the evolution and hot spots of damage. | ||
| Key Words | ||
| artificial intelligence; CRFP components; evolved bat; propagation damage; scanning LDV | ||
| Address | ||
| Z.Y. Chen: Guangdong University of Petrochem Technol, Sch Sci, Maoming 525000, China Sheng-Hsiang Peng: Department of Civil and Environmental Engineering, University of California, Irvine, CA, 92697, U.S.A. Yahui Meng: Guangdong University of Petrochem Technol, Sch Sci, Maoming 525000, China Ruei-Yuan Wang: Guangdong University of Petrochem Technol, Sch Sci, Maoming 525000, China Qiuli Fu: School of Computer Sci, Guangdong University of Petrochem Technol, Maoming 525000, China Timothy Chen: 4Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, 91125, U.S.A. | ||