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