國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Stochastic approach to rupture proba...

SpringerLink (Online service)

Stochastic approach to rupture probability of short glass fiber reinforced polypropylene based on three-point-bending tests

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Stochastic approach to rupture probability of short glass fiber reinforced polypropylene based on three-point-bending testsby Nikolai Sygusch.
作者:	Sygusch, Nikolai.
出版者:	Wiesbaden :Springer Fachmedien Wiesbaden :2020.
面頁冊數:	x, 145 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Glass fibers.
電子資源:	https://doi.org/10.1007/978-3-658-27113-8
ISBN:	9783658271138$q(electronic bk.)

Stochastic approach to rupture probability of short glass fiber reinforced polypropylene based on three-point-bending tests
Sygusch, Nikolai.

Stochastic approach to rupture probability of short glass fiber reinforced polypropylene based on three-point-bending tests[electronic resource] /by Nikolai Sygusch. - Wiesbaden :Springer Fachmedien Wiesbaden :2020. - x, 145 p. :ill., digital ;24 cm. - Mechanik, werkstoffe und konstruktion im bauwesen,band 522512-3238 ;. - Mechanik, werkstoffe und konstruktion im bauwesen ;band 54..

Introduction -- State of the Art -- Mechanical Testing -- Statistical Analysis -- Material Modeling -- Numerical Results -- Summary and Outlook -- Bibliograph -- List of symbols -- Appendix.

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, Russelsheim am Main.

ISBN: 9783658271138$q(electronic bk.)

Standard No.: 10.1007/978-3-658-27113-8doiSubjects--Topical Terms:

239409
Glass fibers.

LC Class. No.: TA450

Dewey Class. No.: 620.144

Stochastic approach to rupture probability of short glass fiber reinforced polypropylene based on three-point-bending tests
LDR:02338nmm a2200337 a 4500 001 577276
003 DE-He213
005 20200218105646.0
006 m d
007 cr nn 008maaau
008 201130s2020 gw s 0 eng d
020 $a 9783658271138$q(electronic bk.)
020 $a 9783658271121$q(paper)
024 7 $a 10.1007/978-3-658-27113-8 $2 doi
035 $a 978-3-658-27113-8
040 $a GP $c GP
041 0 $a eng
050 4 $a TA450
072 7 $a TNK $2 bicssc
072 7 $a TEC009020 $2 bisacsh
072 7 $a TNK $2 thema
082 0 4 $a 620.144 $2 23
090 $a TA450 $b .S982 2020
100 1 $a Sygusch, Nikolai. $3 865604
245 1 0 $a Stochastic approach to rupture probability of short glass fiber reinforced polypropylene based on three-point-bending tests $h [electronic resource] / $c by Nikolai Sygusch.
260 $a Wiesbaden : $b Springer Fachmedien Wiesbaden : $b Imprint: Springer Vieweg, $c 2020.
300 $a x, 145 p. : $b ill., digital ; $c 24 cm.
490 1 $a Mechanik, werkstoffe und konstruktion im bauwesen, $x 2512-3238 ; $v band 52
505 0 $a Introduction -- State of the Art -- Mechanical Testing -- Statistical Analysis -- Material Modeling -- Numerical Results -- Summary and Outlook -- Bibliograph -- List of symbols -- Appendix.
520 $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, Russelsheim am Main.
650 0 $a Glass fibers. $3 239409
650 0 $a Building materials. $3 211643
650 1 4 $a Building Materials. $3 274688
650 2 4 $a Building Construction and Design. $3 761394
650 2 4 $a Construction Management. $3 286691
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Mechanik, werkstoffe und konstruktion im bauwesen ; $v band 54. $3 861675
856 4 0 $u https://doi.org/10.1007/978-3-658-27113-8
950 $a Engineering (Springer-11647)