國立虎尾科技大學 |

A Methodology to Model the Statistical Fracture Behavior of Acrylic Glasses for Stochastic Simulation

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	A Methodology to Model the Statistical Fracture Behavior of Acrylic Glasses for Stochastic Simulation/ by Marcel Berlinger.
作者:	Berlinger, Marcel.
面頁冊數:	XV, 155 p. 121 illus., 95 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Construction Management. -
電子資源:	https://doi.org/10.1007/978-3-658-34330-9
ISBN:	9783658343309

A Methodology to Model the Statistical Fracture Behavior of Acrylic Glasses for Stochastic Simulation
Berlinger, Marcel.

A Methodology to Model the Statistical Fracture Behavior of Acrylic Glasses for Stochastic Simulation[electronic resource] /by Marcel Berlinger. - 1st ed. 2021. - XV, 155 p. 121 illus., 95 illus. in color.online resource. - Mechanik, Werkstoffe und Konstruktion im Bauwesen,592512-3246 ;. - Mechanik, Werkstoffe und Konstruktion im Bauwesen,43.

Introduction -- Fundamentals -- Generalized Anderson-Darling Test -- Experimental Investigations -- Sampling -- Statistical Modeling -- Stochastic Simulation -- Experimental Basis for Model Enhancements -- Summary.

In this work, a methodology is proposed to statistically model the fracture behavior of acrylic glasses for numerical simulation. The aim is to give guidance to users of comparable materials. In detail, the collection of necessary measurement data and their analysis is presented. By applying the model, a stochastic finite-element simulation is performed for a head impact onto an automotive rear-side window made from acrylic glass. Based on the wide spread of the resulting head injury criteria, the relevance of a statistical material characterization for product safety is discussed. Marcel Berlinger studied mechanical engineering at Technische Hochschule Mittelhessen – University of Applied Sciences, and completed his Master's degree in 2017. Since then, he has been a research assistant and doctoral student in the Team of Prof. Dr.-Ing. habil. Stefan Kolling at the Institute of Mechanics and Materials at Technische Hochschule Mittelhessen.

ISBN: 9783658343309

Standard No.: 10.1007/978-3-658-34330-9doiSubjects--Topical Terms:

671020
Construction Management.

LC Class. No.: TA401-492

Dewey Class. No.: 691

A Methodology to Model the Statistical Fracture Behavior of Acrylic Glasses for Stochastic Simulation
LDR:02590nam a22003975i 4500 001 1048504
003 DE-He213
005 20210817045506.0
007 cr nn 008mamaa
008 220103s2021 gw | s |||| 0|eng d
020 $a 9783658343309 $9 978-3-658-34330-9
024 7 $a 10.1007/978-3-658-34330-9 $2 doi
035 $a 978-3-658-34330-9
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 Berlinger, Marcel. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1352399
245 1 2 $a A Methodology to Model the Statistical Fracture Behavior of Acrylic Glasses for Stochastic Simulation $h [electronic resource] / $c by Marcel Berlinger.
250 $a 1st ed. 2021.
264 1 $a Wiesbaden : $b Springer Fachmedien Wiesbaden : $b Imprint: Springer Vieweg, $c 2021.
300 $a XV, 155 p. 121 illus., 95 illus. in color. $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 2512-3246 ; $v 59
505 0 $a Introduction -- Fundamentals -- Generalized Anderson-Darling Test -- Experimental Investigations -- Sampling -- Statistical Modeling -- Stochastic Simulation -- Experimental Basis for Model Enhancements -- Summary.
520 $a In this work, a methodology is proposed to statistically model the fracture behavior of acrylic glasses for numerical simulation. The aim is to give guidance to users of comparable materials. In detail, the collection of necessary measurement data and their analysis is presented. By applying the model, a stochastic finite-element simulation is performed for a head impact onto an automotive rear-side window made from acrylic glass. Based on the wide spread of the resulting head injury criteria, the relevance of a statistical material characterization for product safety is discussed. Marcel Berlinger studied mechanical engineering at Technische Hochschule Mittelhessen – University of Applied Sciences, and completed his Master's degree in 2017. Since then, he has been a research assistant and doctoral student in the Team of Prof. Dr.-Ing. habil. Stefan Kolling at the Institute of Mechanics and Materials at Technische Hochschule Mittelhessen.
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 9783658343293
776 0 8 $i Printed edition: $z 9783658343316
830 0 $a Mechanik, Werkstoffe und Konstruktion im Bauwesen, $x 2512-3238 ; $v 43 $3 1257448
856 4 0 $u https://doi.org/10.1007/978-3-658-34330-9
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)