國立虎尾科技大學 |

Stochastic Approach to Rupture Probability of Short Glass Fiber Reinforced Polypropylene based on Three-Point-Bending Tests

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Stochastic Approach to Rupture Probability of Short Glass Fiber Reinforced Polypropylene based on Three-Point-Bending Tests/ by Nikolai Sygusch.
作者:	Sygusch, Nikolai.
面頁冊數:	X, 145 p. 1 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Construction Management. -
電子資源:	https://doi.org/10.1007/978-3-658-27113-8
ISBN:	9783658271138

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. - 1st ed. 2020. - X, 145 p. 1 illus.online resource. - Mechanik, Werkstoffe und Konstruktion im Bauwesen,522512-3238 ;. - Mechanik, Werkstoffe und Konstruktion im Bauwesen,43.

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, Rüsselsheim am Main.

ISBN: 9783658271138

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

671020
Construction Management.

LC Class. No.: TA401-492

Dewey Class. No.: 691

Stochastic Approach to Rupture Probability of Short Glass Fiber Reinforced Polypropylene based on Three-Point-Bending Tests
LDR:02654nam a22003975i 4500 001 1030946
003 DE-He213
005 20200705090718.0
007 cr nn 008mamaa
008 210318s2020 gw | s |||| 0|eng d
020 $a 9783658271138 $9 978-3-658-27113-8
024 7 $a 10.1007/978-3-658-27113-8 $2 doi
035 $a 978-3-658-27113-8
050 4 $a TA401-492
072 7 $a TNK $2 bicssc
072 7 $a TEC009020 $2 bisacsh
072 7 $a TNK $2 thema
082 0 4 $a 691 $2 23
100 1 $a Sygusch, Nikolai. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1327979
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.
250 $a 1st ed. 2020.
264 1 $a Wiesbaden : $b Springer Fachmedien Wiesbaden : $b Imprint: Springer Vieweg, $c 2020.
300 $a X, 145 p. 1 illus. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Mechanik, Werkstoffe und Konstruktion im Bauwesen, $x 2512-3238 ; $v 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, Rüsselsheim am Main.
650 2 4 $a Construction Management. $3 671020
650 2 4 $a Building Construction and Design. $3 1114677
650 1 4 $a Building Materials. $3 671098
650 0 $a Construction superintendence. $3 1254754
650 0 $a Construction industry—Management. $3 1254753
650 0 $a Building—Superintendence. $3 1254752
650 0 $a Engineering, Architectural. $3 845652
650 0 $a Construction. $3 1254179
650 0 $a Building. $3 557609
650 0 $a Buildings—Design and construction. $3 1254621
650 0 $a Building materials. $3 561291
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783658271121
776 0 8 $i Printed edition: $z 9783658271145
830 0 $a Mechanik, Werkstoffe und Konstruktion im Bauwesen, $x 2512-3238 ; $v 43 $3 1257448
856 4 0 $u https://doi.org/10.1007/978-3-658-27113-8
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)