000			02041cam a2200301zu 4500
001			88962894
003			FRCYB88962894
005			20250429180610.0
006			m o d
007			cr un
008			250429s2020 fr | o|||||0|0|||eng d
020			_a9780128212059
035			_aFRCYB88962894
040			_aFR-PaCSA _ben _c _erda
100	1		_aSamui, Pijush
245	0	1	_aModeling in Geotechnical Engineering _c['Samui, Pijush', 'Kumari, Sunita', 'Makarov, Vladimir']
264		1	_bAcademic Press _c2020
300			_a p.
336			_btxt _2rdacontent
337			_bc _2rdamdedia
338			_bc _2rdacarrier
650		0	_a
700	0		_aSamui, Pijush
700	0		_aKumari, Sunita
700	0		_aMakarov, Vladimir
856	4	0	_2Cyberlibris _uhttps://international.scholarvox.com/netsen/book/88962894 _qtext/html _a
520			_aModeling in Geotechnical Engineering is a one stop reference for a range of computational models, the theory explaining how they work, and case studies describing how to apply them. Drawing on the expertise of contributors from a range of disciplines including geomechanics, optimization, and computational engineering, this book provides an interdisciplinary guide to this subject which is suitable for readers from a range of backgrounds. Before tackling the computational approaches, a theoretical understanding of the physical systems is provided that helps readers to fully grasp the significance of the numerical methods. The various models are presented in detail, and advice is provided on how to select the correct model for your application. - Provides detailed descriptions of different computational modelling methods for geotechnical applications, including the finite element method, the finite difference method, and the boundary element method - Gives readers the latest advice on the use of big data analytics and artificial intelligence in geotechnical engineering - Includes case studies to help readers apply the methods described in their own work
999			_c1322771 _d1322771