Durability prediction of glass/epoxy composite using artificial neural network

Amir Hussain Idrisi, Kehkashan Fatima, Abdel Hamid Ismail Mourad

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

This research article examines the prediction capability of the artificial neural network for the durability of FRP composite. In this study the glass/epoxy composite was immersed under harsh environment for the duration of 11 years. The temperature of the seawater was maintained at 23°C, 45°C, and 65°C. The durability of the samples was evaluated in terms of the tensile strength of the conditioned samples. Furthermore, the feedforward backpropagation technique was used in which exposure temperature (°C) and time (months) was used as an input variable and tensile strength was set as an output variable. The results revealed that the established prediction model is promising for the forecasting of the durability of composite.

Original languageEnglish
Title of host publication2022 Advances in Science and Engineering Technology International Conferences, ASET 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665418010
DOIs
Publication statusPublished - 2022
Event2022 Advances in Science and Engineering Technology International Conferences, ASET 2022 - Dubai, United Arab Emirates
Duration: Feb 21 2022Feb 24 2022

Publication series

Name2022 Advances in Science and Engineering Technology International Conferences, ASET 2022

Conference

Conference2022 Advances in Science and Engineering Technology International Conferences, ASET 2022
Country/TerritoryUnited Arab Emirates
CityDubai
Period2/21/222/24/22

Keywords

  • Artificial neural network
  • Durability prediction
  • glass/epoxy composite
  • long-term immersion

ASJC Scopus subject areas

  • Process Chemistry and Technology
  • Artificial Intelligence
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering
  • Mechanical Engineering
  • Waste Management and Disposal

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