On the Fracture Behaviour and the Fracture Pattern Morphology of Tempered Soda-Lime Glass: Mechanik, Werkstoffe und Konstruktion im Bauwesen, cartea 54
Autor Navid Pour-Moghaddamen Limba Engleză Paperback – 20 noi 2019
Din seria Mechanik, Werkstoffe und Konstruktion im Bauwesen
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Specificații
ISBN-13: 9783658282059
ISBN-10: 3658282053
Pagini: 257
Ilustrații: XXII, 257 p. 175 illus., 107 illus. in color.
Dimensiuni: 168 x 240 mm
Greutate: 0.45 kg
Ediția:1st ed. 2020
Editura: Springer Fachmedien Wiesbaden
Colecția Springer Vieweg
Seria Mechanik, Werkstoffe und Konstruktion im Bauwesen
Locul publicării:Wiesbaden, Germany
ISBN-10: 3658282053
Pagini: 257
Ilustrații: XXII, 257 p. 175 illus., 107 illus. in color.
Dimensiuni: 168 x 240 mm
Greutate: 0.45 kg
Ediția:1st ed. 2020
Editura: Springer Fachmedien Wiesbaden
Colecția Springer Vieweg
Seria Mechanik, Werkstoffe und Konstruktion im Bauwesen
Locul publicării:Wiesbaden, Germany
Cuprins
Introduction.- Glass Properties and Refinement Processes.- Numerical Simulation of the Thermal Tempering Process.- Experimental Investigations into the Fragmentation of Tempered Glass.- Prediction of 2D Macro-Scale Fragmentation of Tempered Glass.- Investigations into the Phenomenon of Crack Branching.- Summary and Outlook.
Notă biografică
Dr.-Ing. Navid Pour-Moghaddam studied Civil Engineering at the Technical University of Darmstadt. From 2011 to 2014 he was a project engineer at Werner Sobek Frankfurt with focus on structural engineering. Between 2014 and 2019 he earned his doctorate at the Institute of Structural Mechanics and Design (Prof. Dr.-Ing. Jens Schneider) in the field of glass construction. Since 2019 he has been working for Schüssler-Plan Frankfurt in the field of constructive engineering. He is a member of the Architects and Engineers Association of the City of Frankfurt.
Textul de pe ultima copertă
The main criteria for assessing the load-bearing behaviour and risk potential of monolithic glass are its fragmentation and the morphology of the fragments. These depend strongly non-linearly on the strain energy density present in the glass at the time of fracture, which can be converted into fracture energy. Thus, the design and optimization of structural glazing in engineering requires both knowledge of the relevant parameters and mechanisms during the fracture process in glass and an understanding of the characteristics of the fracture structure. Based on fracture mechanics considerations and comprehensive experimental investigations, various aspects and physical quantities of fracture behaviour as well as characteristics and parameters of fracture pattern morphology of fragmented, tempered soda-lime glass were studied and correlated with the stored strain energy. The relationship between fragmentation behavior and strain energy was elaborated using the energy criterion in Linear Elastic Fracture Mechanics (LEFM) related to the initial strain energy before fragmentation and in the post-fracture state. Furthermore, a machine learning inspired approach for the prediction of 2D macro-scale fragmentation of tempered glass was developed and elaborated based on fracture mechanics considerations and statistical analysis of the fracture pattern morphology. A method was deduced and applied in which the fracture pattern of tempered glass is predicted and simulated by Voronoi tessellation of point patterns based on Bayesian spatial point statistics fed with energy conditions in LEFM.
The Author
Dr.-Ing. Navid Pour-Moghaddam studied Civil Engineering at the Technical University of Darmstadt. From 2011 to 2014 he was a project engineer at Werner Sobek Frankfurt with focus on structural engineering. Between 2014 and 2019 he earned his doctorate at the Institute of Structural Mechanics and Design (Prof. Dr.-Ing. Jens Schneider) in the field of glass construction. Since 2019 he has been working for Schüssler-Plan Frankfurt in the field of constructive engineering. He is a member of the Architects and Engineers Association of the City of Frankfurt.
Caracteristici
Fragmentation and the morphology of the fragments Machine learning inspired approach Doctoral thesis in the series Mechanik, Werkstoffe und Konstruktion im Bauwesen