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A Methodology to Model the Statistical Fracture Behavior of Acrylic Glasses for Stochastic Simulation [electronic resource] / by Marcel Berlinger.

By: Berlinger, Marcel [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Mechanik, Werkstoffe und Konstruktion im Bauwesen: 59Publisher: Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Vieweg, 2021Edition: 1st ed. 2021.Description: XV, 155 p. 121 illus., 95 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783658343309.Subject(s): Building materials | Buildings—Design and construction | Construction industry—Management | Building Materials | Building Construction and Design | Construction ManagementAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 691 Online resources: Click here to access online
Contents:
Introduction -- Fundamentals -- Generalized Anderson-Darling Test -- Experimental Investigations -- Sampling -- Statistical Modeling -- Stochastic Simulation -- Experimental Basis for Model Enhancements -- Summary.
In: Springer Nature eBookSummary: 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.
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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.

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