A neural diagnostic system for measuring strain in FRP composite materials |
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| Affiliation: | 1. Jiangsu Key Laboratory for Science and Applications of Molecular Ferroelectrics, Southeast University, Nanjing 211189, China;2. Institute for Science and Applications of Molecular Ferroelectrics, Department of Chemistry, Zhejiang Normal University, Jinhua 321004, China;1. Department of Languages and Computer Systems, University of Granada, ETSIIT, Periodista Daniel Saucedo Aranda s/n, 18071 Granada, Spain;2. MediaLab, University of Granada, C/Gran Vía 48, 4ª Planta, Oficina. 18010, Granada, Spain;1. School of Engineering, University of Southampton, UK;2. Bristol Composites Institute, University of Bristol, UK |
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| Abstract: | In this paper a diagnostic system for measuring strain in FRP composite materials by using artificial neural networks is proposed. In particular the strain response of specimens of glass or carbon fibres arranged in epoxy resin matrix subjected to mechanical and thermal loads is analysed. The experimental results are compared with those obtained analytically and the advantages of using this neural diagnostic system, as compared to the use of the traditional system of temperature compensation, are given. |
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