Inferring a Reliable Mechanical Stress Relaxation Spectrum via a Regularization-Quadratic Programming Technique

Abstract

A reliable technique to aid in the prediction of bulk polymer long term mechanical properties is discussed. This technique - regularization and quadratic programming - is applied to the standard NBS isobutylene Master Curve data of Tobolsky and Catsiff. The results show excellent agreement between the mechanical relaxation spectra achieved when no a priori functional form and the published wedge-box functional form are assumed.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1976
Accession Number
ADA038653

Entities

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  • D. R. Wiff

Organizations

  • University of Dayton

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  • Mechanical Properties
  • Numerical Analysis
  • Quadratic Programming
  • Relaxation Time
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  • Computational Modeling and Simulation
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  • Polymer Science and Technology

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  • AI & ML
  • AI & ML - Bayesian Inference
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  • AI & ML - Neural Networks