The Resource Stochastic Approach to Rupture Probability of Short Glass Fiber Reinforced Polypropylene based on Three-Point-Bending Tests, by Nikolai Sygusch, (electronic resource)

Stochastic Approach to Rupture Probability of Short Glass Fiber Reinforced Polypropylene based on Three-Point-Bending Tests, by Nikolai Sygusch, (electronic resource)

Label
Stochastic Approach to Rupture Probability of Short Glass Fiber Reinforced Polypropylene based on Three-Point-Bending Tests
Title
Stochastic Approach to Rupture Probability of Short Glass Fiber Reinforced Polypropylene based on Three-Point-Bending Tests
Statement of responsibility
by Nikolai Sygusch
Creator
Author
Author
Subject
Language
eng
Summary
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
Member of
http://library.link/vocab/creatorName
Sygusch, Nikolai
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsaut
1zvZKg1DjW8
Image bit depth
0
LC call number
TA401-492
Literary form
non fiction
Series statement
Mechanik, Werkstoffe und Konstruktion im Bauwesen,
Series volume
52
http://library.link/vocab/subjectName
  • Building materials
  • Buildings-Design and construction
  • Building
  • Construction
  • Engineering, Architectural
  • Building
  • Construction industry-Management
  • Building
  • Building Materials
  • Building Construction and Design
  • Construction Management
Label
Stochastic Approach to Rupture Probability of Short Glass Fiber Reinforced Polypropylene based on Three-Point-Bending Tests, by Nikolai Sygusch, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Introduction -- State of the Art -- Mechanical Testing -- Statistical Analysis -- Material Modeling -- Numerical Results -- Summary and Outlook -- Bibliograph -- List of symbols -- Appendix
Dimensions
unknown
Edition
1st ed. 2020.
Extent
X, 145 p. 1 illus.
File format
multiple file formats
Form of item
electronic
Isbn
9783658271138
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-3-658-27113-8
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-3-658-27113-8
Label
Stochastic Approach to Rupture Probability of Short Glass Fiber Reinforced Polypropylene based on Three-Point-Bending Tests, by Nikolai Sygusch, (electronic resource)
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Introduction -- State of the Art -- Mechanical Testing -- Statistical Analysis -- Material Modeling -- Numerical Results -- Summary and Outlook -- Bibliograph -- List of symbols -- Appendix
Dimensions
unknown
Edition
1st ed. 2020.
Extent
X, 145 p. 1 illus.
File format
multiple file formats
Form of item
electronic
Isbn
9783658271138
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-3-658-27113-8
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-3-658-27113-8

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