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

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

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.

• Jezik: Angleški jezik
• Ključne besede: PEEK, temperature, neural network, multilayer perceptron, constant stress rate, prediction, modeling, high-performance polymers, composites
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: FS - Fakulteta za strojništvo
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2021
• Št. strani: 9 str.
• Številčenje: Vol. 100, art. 107233
• PID: 20.500.12556/RUL-127412
• UDK: 539.3:678.7:004.8(045)
• ISSN pri članku: 0142-9418
• DOI: 10.1016/j.polymertesting.2021.107233
• COBISS.SI-ID: 65892867
• Datum objave v RUL: 04.06.2021

Gradivo je del revije

• Naslov: Polymer testing
• Skrajšan naslov: Polym. test.
• Založnik: Elsevier
• ISSN: 0142-9418
• COBISS.SI-ID: 26155008

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: temperatura, nevronska mreža, večslojni perceptron, konstantna hitrost napetosti, napovedovanje, modeliranje, visokozmogljivi polimeri, kompoziti

Projekti

• Financer: ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
• Številka projekta: Z2-1865
• Naslov: Nevronske mreže za določitev lezenja polimera pri različnih temperaturah

• Financer: ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
• Številka projekta: P2-0264
• Naslov: Trajnostni polimerni materiali in tehnologije