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Health Monitoring of Polymer Matrix Composites Using Vibration Technique
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Author(s): Sreekanth T. G. (PSG College of Technology, India), Senthilkumar M. (PSG College of Technology, India)and Manikanta Reddy S. (PSG College of Technology, India)
Copyright: 2023
Pages: 23
Source title:
Applying AI-Based IoT Systems to Simulation-Based Information Retrieval
Source Author(s)/Editor(s): Bhatia Madhulika (Amity University, India), Bhatia Surabhi (King Faisal University, Saudi Arabia), Poonam Tanwar (Manav Rachna International Institute of Research and Studies, India)and Kuljeet Kaur (Université du Québec, Canada)
DOI: 10.4018/978-1-6684-5255-4.ch008
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Abstract
Glass and carbon fiber-reinforced plastics have become increasingly popular in engineering applications as relatively new materials, and it is expected that this trend will continue. E-glass laminates have become more common in aviation components such as wings, fuselages, and stabilizers as stronger, more durable, and tougher resins such as epoxies have evolved. A sudden breakdown of an engineering component like aircraft usually results in a significant financial loss, as well as posing a risk to human life. Vibration-based detection is one type of global damage identification method. Changes in physical qualities like damping, mass, and stiffness bring noticeable changes in the modal parameters in vibration-based damage detection approaches. This chapter demonstrates how vibration-based analysis can be used to forecast the severity and position of delamination in composites. The position and area of delamination in composite beams are determined using a supervised feed-forward multilayer back-propagation artificial neural network (ANN) in the MATLAB neural network toolbox.
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