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author:

Chen, Xiayu (Chen, Xiayu.) [1] | Wang, Bing (Wang, Bing.) [2] | Zhao, Chenmin (Zhao, Chenmin.) [3] | Du, Dongmei (Du, Dongmei.) [4] | Guan, Chenglong (Guan, Chenglong.) [5] | Zhong, Shuncong (Zhong, Shuncong.) [6]

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EI Scopus

Abstract:

Polymers and composites have been widely applied in many industries, especially in aerospace. There are growing demands for understanding their natural viscoelastic performance, especially in aerospace applications, where precise dimensional control and prediction of the residual strength and modulus are vital for the success of an aerospace vehicle. The existing superposition principles mainly focus on the well-known WLF-based horizontal shift to predict the long-term behaviour through short-term experimental tests in terms of creep or stress relaxation. Whilst the intrinsic microstructural changes or damages within a polymeric material due to viscoelastic deformation are not considered, which may lead to large differences for long-term predictions. Here, we look into the very fundamentals of the existing superposition principles, aiming to develop towards a unified theory to better predict the long-term relaxation modulus or creep of a polymeric solid. This is achieved by considering both the free volume theory-based horizontal shift factors and activation energy-based shift factors; microstructural changes or damages induced vertical shift factors are then coupled to improve the prediction accuracy of the superposition methods. These will facilitate long-term predictions and accelerated aging tests for viscoelastic solids. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Keyword:

Activation energy Aerospace applications Creep Forecasting Horizontal wells Stress relaxation Viscoelasticity

Community:

  • [ 1 ] [Chen, Xiayu]Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 2 ] [Chen, Xiayu]Institute of Precision Instrument and Intelligent Measurement and Control, Fuzhou University, Fuzhou; 350108, China
  • [ 3 ] [Wang, Bing]Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 4 ] [Wang, Bing]Institute of Precision Instrument and Intelligent Measurement and Control, Fuzhou University, Fuzhou; 350108, China
  • [ 5 ] [Zhao, Chenmin]Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 6 ] [Zhao, Chenmin]Institute of Precision Instrument and Intelligent Measurement and Control, Fuzhou University, Fuzhou; 350108, China
  • [ 7 ] [Du, Dongmei]Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 8 ] [Du, Dongmei]Institute of Precision Instrument and Intelligent Measurement and Control, Fuzhou University, Fuzhou; 350108, China
  • [ 9 ] [Guan, Chenglong]Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 10 ] [Guan, Chenglong]Institute of Precision Instrument and Intelligent Measurement and Control, Fuzhou University, Fuzhou; 350108, China
  • [ 11 ] [Zhong, Shuncong]Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 12 ] [Zhong, Shuncong]Institute of Precision Instrument and Intelligent Measurement and Control, Fuzhou University, Fuzhou; 350108, China

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ISSN: 2211-0984

Year: 2024

Volume: 161 MMS

Page: 143-150

Language: English

Cited Count:

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SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

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Chinese Cited Count:

30 Days PV: 1

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