000			02859nam a22003975i 4500
988			_aSpringer_Engineering_2020
999			_c116913 _d116913 _x1
001			116913
003			ES-MaUEC
005			20230110040250.0
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008			190720s2020 gw | s |||| 0|eng d
020			_a9783658271138
024	7		_a10.1007/978-3-658-27113-8 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTA418.36 _b2020 EB
100	1		_aSygusch, Nikolai _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9672003
245	1	0	_aStochastic Approach to Rupture Probability of Short Glass Fiber Reinforced Polypropylene based on Three-Point-Bending Tests _cby Nikolai Sygusch.
250			_a1st ed. 2020.
264		1	_aWiesbaden _bSpringer Fachmedien Wiesbaden Vieweg _c2020.
300			_a1 recurso en línea (X, 145 páginas) _b1 ilustraciones
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aMechanik Werkstoffe und Konstruktion im Bauwesen _x2512-3238 _v52
490	0		_aEngineering (Springer-11647)
505	0		_aIntroduction -- State of the Art -- Mechanical Testing -- Statistical Analysis -- Material Modeling -- Numerical Results -- Summary and Outlook -- Bibliograph -- List of symbols -- Appendix.
520			_aA 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.
650		7	_2embne _aMateriales de construcción _9137957
776	0	8	_iPrinted edition: _z9783658271121
776	0	8	_iPrinted edition: _z9783658271145
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-658-27113-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_aSI _cm _dz _feng _ggw _h0 _b01/2020 _eIG _zSI