Stochastic Approach to Rupture Probability of Short Glass Fiber Reinforced Polypropylene based on Three-Point-Bending Tests: Mechanik, Werkstoffe und Konstruktion im Bauwesen, cartea 52
Autor Nikolai Syguschen Limba Engleză Paperback – 29 iul 2019
Din seria Mechanik, Werkstoffe und Konstruktion im Bauwesen
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Specificații
ISBN-13: 9783658271121
ISBN-10: 3658271124
Pagini: 145
Ilustrații: X, 145 p. 1 illus.
Dimensiuni: 168 x 240 mm
Greutate: 0.26 kg
Ediția:1st ed. 2020
Editura: Springer Fachmedien Wiesbaden
Colecția Springer Vieweg
Seria Mechanik, Werkstoffe und Konstruktion im Bauwesen
Locul publicării:Wiesbaden, Germany
ISBN-10: 3658271124
Pagini: 145
Ilustrații: X, 145 p. 1 illus.
Dimensiuni: 168 x 240 mm
Greutate: 0.26 kg
Ediția:1st ed. 2020
Editura: Springer Fachmedien Wiesbaden
Colecția Springer Vieweg
Seria Mechanik, Werkstoffe und Konstruktion im Bauwesen
Locul publicării:Wiesbaden, Germany
Cuprins
Introduction.- State of the Art.- Mechanical Testing.- Statistical Analysis.- Material Modeling.- Numerical Results.- Summary and Outlook.- Bibliograph.- List of symbols.- Appendix.
Notă biografică
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.
Textul de pe ultima copertă
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.
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.