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

Author:   Nikolai Sygusch
Publisher:   Springer Fachmedien Wiesbaden
Edition:   1st ed. 2020
Volume:   52
ISBN:  

9783658271121


Pages:   145
Publication Date:   29 July 2019
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Stochastic Approach to Rupture Probability of Short Glass Fiber Reinforced Polypropylene based on Three-Point-Bending Tests


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Overview

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.

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Author:   Nikolai Sygusch
Publisher:   Springer Fachmedien Wiesbaden
Imprint:   Springer Vieweg
Edition:   1st ed. 2020
Volume:   52
Weight:   0.454kg
ISBN:  

9783658271121


ISBN 10:   3658271124
Pages:   145
Publication Date:   29 July 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Introduction.-  State of the Art.- Mechanical Testing.- Statistical Analysis.- Material Modeling.- Numerical Results.- Summary and Outlook.- Bibliograph.- List of symbols.- Appendix.

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Author Information

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.

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