Neural networks for predicting the temperature-dependent viscoelastic response of PEEK under constant stress rate loading

Aulova, Alexandra (author), Oseli, Alen (author), Bek, Marko (author)

High-performance polymer composites are used in demanding applications in civil and aerospace engineering. Often, structures made from such composites are monitored using structural health monitoring systems. This investigation aims to use a multilayer perceptron neural network to model polymer response to a non-standard excitation under different temperature conditions. Model could be implemented into health monitoring systems. Specifically, the neural network was used to model PEEK material's creep behavior under constant shear stress rate excitation at different temperatures. Optimal neural network topology, the effect of the amount of training data and its distribution in a temperature range on prediction quality were investigated. The results showed that based on the proposed optimization criterion, a properly trained neural network can predict polymeric material behavior within the experimental error. The neural network also enabled good prediction at temperatures where stress-strain behavior was not experimentally determined.

• Language: English
• Keywords: PEEK, temperature, neural network, multilayer perceptron, constant stress rate, prediction, modeling, high-performance polymers, composites
• Work type: Article
• Typology: 1.01 - Original Scientific Article
• Organization: FS - Faculty of Mechanical Engineering
• Publication status: Published
• Publication version: Version of Record
• Year: 2021
• Number of pages: 9 str.
• Numbering: Vol. 100, art. 107233
• PID: 20.500.12556/RUL-127412
• UDC: 539.3:678.7:004.8(045)
• ISSN on article: 0142-9418
• DOI: 10.1016/j.polymertesting.2021.107233
• COBISS.SI-ID: 65892867
• Publication date in RUL: 04.06.2021

Record is a part of a journal

• Title: Polymer testing
• Shortened title: Polym. test.
• Publisher: Elsevier
• ISSN: 0142-9418
• COBISS.SI-ID: 26155008

Licences

• License: CC BY 4.0, Creative Commons Attribution 4.0 International
• Link: http://creativecommons.org/licenses/by/4.0/
• Description: This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

• Language: Slovenian
• Keywords: temperatura, nevronska mreža, večslojni perceptron, konstantna hitrost napetosti, napovedovanje, modeliranje, visokozmogljivi polimeri, kompoziti

Projects

• Funder: ARRS - Slovenian Research Agency
• Project number: Z2-1865
• Name: Nevronske mreže za določitev lezenja polimera pri različnih temperaturah

• Funder: ARRS - Slovenian Research Agency
• Project number: P2-0264
• Name: Trajnostni polimerni materiali in tehnologije