Stochastic Approach to Rupture Probability of Short Glass Fiber Reinforced Polypropylene based on Three-Point-Bending Tests

  • Nikolai Sygusch

Part of the Mechanik, Werkstoffe und Konstruktion im Bauwesen book series (MWKB, volume 52)

Table of contents

  1. Front Matter
    Pages i-x
  2. Nikolai Sygusch
    Pages 1-4
  3. Nikolai Sygusch
    Pages 5-13
  4. Nikolai Sygusch
    Pages 15-39
  5. Nikolai Sygusch
    Pages 41-58
  6. Nikolai Sygusch
    Pages 59-72
  7. Nikolai Sygusch
    Pages 73-92
  8. Nikolai Sygusch
    Pages 93-95
  9. Back Matter
    Pages 97-145

About this book


A method for incorporating and comparing stochastic scatter of macroscopic parameters in crash simulations is developed in the present work and applied on a 30 wt.% short glass fiber reinforced polypropylene. Therefore, a statistical testing plan on the basis of three point bending tests with 30 samples for each configuration is carried out. The tests are conducted at 0°, 30°, 45° and 90° orientation angles and at strain rates of 0.021/s and 85/s. The obtained results are evaluated statistically by means of probability distribution functions. An orthotropic elastic plastic material model is utilized for the numerical investigations. Monte Carlo Simulations with variations in macroscopic parameters are run to emulate the stochastic rupture behavior of the experiments.

The author
Nikolai Sygusch
was Research Associate at the Institute of Mechanics and Materials, Working Group Kolling, TH Mittelhessen, Gießen and has been a Ph.D. student from 2015 until 2018 at the crash simulation at Opel Automobile GmbH, Rüsselsheim am Main.


Short Glass Fiber Mechanical Testing Characterization of glass fibers Three-Point-Bending Test Reinforced Polypropylene

Authors and affiliations

  • Nikolai Sygusch
    • 1
  1. 1.BeselichGermany

Bibliographic information

  • DOI
  • Copyright Information Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2020
  • Publisher Name Springer Vieweg, Wiesbaden
  • eBook Packages Engineering
  • Print ISBN 978-3-658-27112-1
  • Online ISBN 978-3-658-27113-8
  • Series Print ISSN 2512-3238
  • Series Online ISSN 2512-3246
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