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190802 ||| eng |
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|a 9783658271138
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|a Sygusch, Nikolai
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|a Stochastic Approach to Rupture Probability of Short Glass Fiber Reinforced Polypropylene based on Three-Point-Bending Tests
|h Elektronische Ressource
|c by Nikolai Sygusch
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|a 1st ed. 2020
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| 260 |
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|a Wiesbaden
|b Springer Fachmedien Wiesbaden
|c 2020, 2020
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| 300 |
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|a X, 145 p. 1 illus
|b online resource
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|a 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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|a Building materials
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|a Construction superintendence
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|a Building Materials
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|a Construction industry—Management
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|a Engineering, Architectural
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| 653 |
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|a Building Construction and Design
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|a Building—Superintendence
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|a Building
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|a Buildings—Design and construction
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|a Construction
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|a Construction Management
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|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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|a Mechanik, Werkstoffe und Konstruktion im Bauwesen
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| 856 |
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|u https://doi.org/10.1007/978-3-658-27113-8?nosfx=y
|x Verlag
|3 Volltext
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|a 691
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|a 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
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