LEADER 03828nam 22006495 450 001 9910366610503321 005 20200705090718.0 010 $a3-658-27113-2 024 7 $a10.1007/978-3-658-27113-8 035 $a(CKB)4100000008737391 035 $a(MiAaPQ)EBC5835654 035 $a(DE-He213)978-3-658-27113-8 035 $a(PPN)238487261 035 $a(EXLCZ)994100000008737391 100 $a20190720d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aStochastic Approach to Rupture Probability of Short Glass Fiber Reinforced Polypropylene based on Three-Point-Bending Tests /$fby Nikolai Sygusch 205 $a1st ed. 2020. 210 1$aWiesbaden :$cSpringer Fachmedien Wiesbaden :$cImprint: Springer Vieweg,$d2020. 215 $a1 online resource (x, 145 pages) $cillustrations 225 1 $aMechanik, Werkstoffe und Konstruktion im Bauwesen,$x2512-3238 ;$v52 311 $a3-658-27112-4 327 $aIntroduction -- State of the Art -- Mechanical Testing -- Statistical Analysis -- Material Modeling -- Numerical Results -- Summary and Outlook -- Bibliograph -- List of symbols -- Appendix. 330 $aA method for incorporating and comparing stochastic scatter of macroscopic parameters in crash simulations is developed in the present work and applied on a 30 wt.% short glass fiber reinforced polypropylene. Therefore, a statistical testing plan on the basis of three point bending tests with 30 samples for each configuration is carried out. The tests are conducted at 0°, 30°, 45° and 90° orientation angles and at strain rates of 0.021/s and 85/s. The obtained results are evaluated statistically by means of probability distribution functions. An orthotropic elastic plastic material model is utilized for the numerical investigations. Monte Carlo Simulations with variations in macroscopic parameters are run to emulate the stochastic rupture behavior of the experiments. The author Nikolai Sygusch was Research Associate at the Institute of Mechanics and Materials, Working Group Kolling, TH Mittelhessen, Gießen and has been a Ph.D. student from 2015 until 2018 at the crash simulation at Opel Automobile GmbH, Rüsselsheim am Main. 410 0$aMechanik, Werkstoffe und Konstruktion im Bauwesen,$x2512-3238 ;$v52 606 $aBuilding materials 606 $aBuildings?Design and construction 606 $aBuilding 606 $aConstruction 606 $aEngineering, Architectural 606 $aBuilding?Superintendence 606 $aConstruction industry?Management 606 $aConstruction superintendence 606 $aBuilding Materials$3https://scigraph.springernature.com/ontologies/product-market-codes/T23047 606 $aBuilding Construction and Design$3https://scigraph.springernature.com/ontologies/product-market-codes/T23012 606 $aConstruction Management$3https://scigraph.springernature.com/ontologies/product-market-codes/T23039 615 0$aBuilding materials. 615 0$aBuildings?Design and construction. 615 0$aBuilding. 615 0$aConstruction. 615 0$aEngineering, Architectural. 615 0$aBuilding?Superintendence. 615 0$aConstruction industry?Management. 615 0$aConstruction superintendence. 615 14$aBuilding Materials. 615 24$aBuilding Construction and Design. 615 24$aConstruction Management. 676 $a666.157 700 $aSygusch$b Nikolai$4aut$4http://id.loc.gov/vocabulary/relators/aut$01064584 906 $aBOOK 912 $a9910366610503321 996 $aStochastic Approach to Rupture Probability of Short Glass Fiber Reinforced Polypropylene based on Three-Point-Bending Tests$92539295 997 $aUNINA