Marcel Berlinger
A Methodology to Model the Statistical Fracture Behavior of Acrylic Glasses for Stochastic Simulation
A Methodology to Model the Statistical Fracture Behavior of Acrylic Glasses for Stochastic Simulation
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Excellent- More about A Methodology to Model the Statistical Fracture Behavior of Acrylic Glasses for Stochastic Simulation
A statistical modelling method for simulating the fracture behaviour of acrylic glass is presented using an automotive rear side window application case. Measurement data collection and analysis are described, and the model is integrated into a head impact test simulation. The relevance of statistical material characterisation for product safety is discussed based on the spread of the head injury criterion.
Format: Paperback / softback
Length: 155 pages
Publication date: 01 July 2021
Publisher: Springer Fachmedien Wiesbaden
A comprehensive statistical modelling approach is presented to simulate the fracture behaviour of acrylic glass, with a specific focus on its application in automotive rear side windows. This study encompasses the meticulous collection and comprehensive analysis of essential measurement data. The primary objective is to provide valuable guidance to users of similar materials. Furthermore, the model is seamlessly integrated into a finite element simulation of a head impact test on the pane. By examining the distribution of the head injury criterion obtained from the simulation, the significance of statistical material characterisation in ensuring product safety is underscored.
A comprehensive statistical modelling approach is presented to simulate the fracture behaviour of acrylic glass, with a specific focus on its application in automotive rear side windows. This study encompasses the meticulous collection and comprehensive analysis of essential measurement data. The primary objective is to provide valuable guidance to users of similar materials. Furthermore, the model is seamlessly integrated into a finite element simulation of a head impact test on the pane. By examining the distribution of the head injury criterion obtained from the simulation, the significance of statistical material characterisation in ensuring product safety is underscored.
Weight: 309g
Dimension: 240 x 168 (mm)
ISBN-13: 9783658343293
Edition number: 1st ed. 2021
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