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5 - Affine Deformation

Published online by Cambridge University Press:  15 September 2022

Catalin R. Picu
Affiliation:
Rensselaer Polytechnic Institute, New York
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Summary

Affine models have been used traditionally to describe the deformation of networks. Due to their prevalence, this chapter is dedicated to the review of such formulations. The chapter begins with a brief review of finite kinematics of continua and the definition of stress measures. Further, the affine deformation is defined and several parameters used to quantify the degree of nonaffinity are introduced. An expression is derived to quantify the evolution of preferential fiber orientation during affine deformation. Several constitutive models based on the affine deformation assumption are discussed: The affine models for molecular networks of flexible and semi-flexible filaments, and the affine model for athermal networks. The stress–optical law is reviewed, and its relation to the affine deformation models is discussed.

Type
Chapter
Information
Network Materials
Structure and Properties
, pp. 128 - 145
Publisher: Cambridge University Press
Print publication year: 2022

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  • Affine Deformation
  • Catalin R. Picu, Rensselaer Polytechnic Institute, New York
  • Book: Network Materials
  • Online publication: 15 September 2022
  • Chapter DOI: https://doi.org/10.1017/9781108779920.006
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  • Affine Deformation
  • Catalin R. Picu, Rensselaer Polytechnic Institute, New York
  • Book: Network Materials
  • Online publication: 15 September 2022
  • Chapter DOI: https://doi.org/10.1017/9781108779920.006
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Affine Deformation
  • Catalin R. Picu, Rensselaer Polytechnic Institute, New York
  • Book: Network Materials
  • Online publication: 15 September 2022
  • Chapter DOI: https://doi.org/10.1017/9781108779920.006
Available formats
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