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005			20230102113845.0
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008			191108s2020 gw a o |||| 0|eng d
020			_a9783658282066
024	7		_a10.1007/978-3-658-28206-6 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTA450 _b2020 EB
100	1		_aPour-Moghaddam, Navid _eautor _4aut _9672768
245	1	0	_aOn the Fracture Behaviour and the Fracture Pattern Morphology of Tempered Soda-Lime Glass _cby Navid Pour-Moghaddam.
250			_a1st ed. 2020.
264		1	_aWiesbaden _bSpringer Fachmedien Wiesbaden : _bImprint: Springer Vieweg _c2020.
300			_a1 recurso en línea (XXII, 257 páginas) _b175 ilustraciones, 107 ilustraciones a color.
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aMechanik Werkstoffe und Konstruktion im Bauwesen _x2512-3238 _v54
505	0		_aIntroduction -- 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.
520	3		_aThe 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.
988			_aPrimersemestre_2020_Engineering
650		7	_2embne _9143527 _aVidrio
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783658282059
776	0	8	_iPrinted edition: _z9783658282073
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-658-28206-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE _n0
998			_b03/2020 _dz _ea _zSI