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Composite components damage tracking and dynamic structural behaviour with AI algorithm

Chen, Z. Y. and Peng, Sheng-Hsiang and Meng, Yahui and Wang, Ruei-Yuan and Fu, Qiuli and Chen, Timothy (2022) Composite components damage tracking and dynamic structural behaviour with AI algorithm. Steel and Composite Structures, 42 (2). pp. 151-159. ISSN 1229-9367. doi:10.12989/scs.2022.42.2.151. https://resolver.caltech.edu/CaltechAUTHORS:20220328-151638411

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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.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.12989/scs.2022.42.2.151DOIArticle
http://www.techno-press.org/?page=container&journal=scs&volume=42&num=2#PublisherIssue Table of Contents
Additional Information:© 2022 Techno-Press.
Subject Keywords:artificial intelligence; CRFP components; evolved bat; propagation damage; scanning LDV
Issue or Number:2
DOI:10.12989/scs.2022.42.2.151
Record Number:CaltechAUTHORS:20220328-151638411
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20220328-151638411
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:114099
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:28 Mar 2022 17:31
Last Modified:28 Mar 2022 17:31

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