Stochastic Approach to Rupture Probability of Short Glass Fiber Reinforced Polypropylene based on Three-Point-Bending Tests (Record no. 78109)
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| fixed length control field | 03251nam a22005295i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-658-27113-8 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220801220019.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 190720s2020 gw | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783658271138 |
| -- | 978-3-658-27113-8 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 691 |
| 100 1# - AUTHOR NAME | |
| Author | Sygusch, Nikolai. |
| 245 10 - TITLE STATEMENT | |
| Title | Stochastic Approach to Rupture Probability of Short Glass Fiber Reinforced Polypropylene based on Three-Point-Bending Tests |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2020. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | X, 145 p. 1 illus. |
| 490 1# - SERIES STATEMENT | |
| Series statement | Mechanik, Werkstoffe und Konstruktion im Bauwesen, |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | Introduction -- State of the Art -- Mechanical Testing -- Statistical Analysis -- Material Modeling -- Numerical Results -- Summary and Outlook -- Bibliograph -- List of symbols -- Appendix. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | 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. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1007/978-3-658-27113-8 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Wiesbaden : |
| -- | Springer Fachmedien Wiesbaden : |
| -- | Imprint: Springer Vieweg, |
| -- | 2020. |
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| -- | Building materials. |
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| -- | Buildings—Design and construction. |
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| -- | Construction industry—Management. |
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| -- | Building Materials. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Building Construction and Design. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Construction Management. |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| -- | 2512-3246 ; |
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| -- | ZDB-2-ENG |
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