000 03459nam a22005775i 4500
999 _c12244
_d12244
001 978-981-10-4627-8
003 DE-He213
005 20211203121157.0
008 170522s2017 si | s |||| 0|eng d
020 _a9789811046278
040 _cAIKTC-KRRC
041 _aENG
072 7 _aRBP
_2bicssc
072 7 _aSCI042000
_2bisacsh
072 7 _aRBP
_2thema
072 7 _aRBGK
_2thema
082 0 4 _a624.15
_223
100 1 _aZhao, Tao.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aCoupled DEM-CFD Analyses of Landslide-Induced Debris Flows
_h[electronic resource] /
250 _a1st ed. 2017.
264 1 _aSingapore :
_bSpringer Singapore :
_bImprint: Springer,
_c2017.
300 _aXV, 220 p. 132 illus., 82 illus. in color.
_bCard Paper
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
520 _aThis book reflects the latest research results in computer modelling of landslide-induced debris flows. The book establishes an understanding of the initiation and propagation mechanisms of landslides by means of numerical simulations, so that mitigation strategies to reduce the long-term losses from landslide hazards can be devised. In this context, the book employs the Discrete Element Method (DEM) and Computational Fluid Dynamics (CFD) to investigate the mechanical and hydraulic behaviour of granular materials involved in landslides – an approach that yields meaningful insights into the flow mechanisms, concerning e.g. the mobilization of sediments, the generation and dissipation of excess pore water pressures, and the evolution of effective stresses. As such, the book provides valuable information, useful methods and robust numerical tools that can be successfully applied in the field of debris flow research.
650 0 _aCivil Engineering
_94621
653 _aGeoengineering, Foundations, Hydraulics.
653 _aGeotechnical Engineering & Applied Earth Sciences.
653 _aEngineering Fluid Dynamics.
653 _aNatural Hazards.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811046261
776 0 8 _iPrinted edition:
_z9789811046285
776 0 8 _iPrinted edition:
_z9789811351860
856 4 0 _uhttps://doi.org/10.1007/978-981-10-4627-8
_zClick here to access eBook in Springer Nature platform. (Within Campus only.)
942 _cEBOOKS
_2ddc