000 03577nam a22005775i 4500
001 978-981-13-3408-5
003 DE-He213
005 20220801213957.0
007 cr nn 008mamaa
008 190425s2019 si | s |||| 0|eng d
020 _a9789811334085
_9978-981-13-3408-5
024 7 _a10.1007/978-981-13-3408-5
_2doi
050 4 _aTA703-705.4
072 7 _aTNC
_2bicssc
072 7 _aSCI042000
_2bisacsh
072 7 _aTNC
_2thema
082 0 4 _a624.15
_223
100 1 _aYin, Zhen-Yu.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_935563
245 1 0 _aPractice of Optimisation Theory in Geotechnical Engineering
_h[electronic resource] /
_cby Zhen-Yu Yin, Yin-Fu Jin.
250 _a1st ed. 2019.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2019.
300 _aXXXVII, 356 p. 304 illus., 276 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aIntroduction -- Methodology of parameter identification -- Optimisation algorithms -- Laboratory tests for mechanical behaviours of soils -- Constitutive modeling of soils -- ErosOpt platform -- Appendix A: NMS -- Appendix B: NMGA -- Appendix C: NMDE.
520 _aThis book presents the development of optimization platform for geotechnical engineering which is one of the key components in smart geotechnics. The book discusses the fundamentals of the optimization algorithm with constitutive models of soils. Helping readers easily understand the optimization algorithm applied in geotechnical engineering, this book first introduces the methodology of the optimization-based parameter identification, and then elaborates the principle of three newly developed efficient optimization algorithms, followed by the ideas of a variety of laboratory tests and formulations of constitutive models. Moving on to the application of optimization methods in geotechnical engineering, this book presents an optimization-based parameter identification platform with a practical and concise interface based on the above theories. The book is intended for undergraduate and graduate-level teaching in soil mechanics and geotechnical engineering and other related engineering specialties. It is also of use to industry practitioners, due to the inclusion of real-world applications, opening the door to advanced courses on both modeling and algorithm development within the industrial engineering and operations research fields.
650 0 _aEngineering geology.
_94157
650 0 _aGeotechnical engineering.
_94958
650 0 _aMechanics, Applied.
_93253
650 0 _aSolids.
_93750
650 0 _aNumerical analysis.
_94603
650 0 _aComputer simulation.
_95106
650 1 4 _aGeoengineering.
_931828
650 2 4 _aGeotechnical Engineering and Applied Earth Sciences.
_931829
650 2 4 _aSolid Mechanics.
_931612
650 2 4 _aNumerical Analysis.
_94603
650 2 4 _aComputer Modelling.
_935564
700 1 _aJin, Yin-Fu.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_935565
710 2 _aSpringerLink (Online service)
_935566
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811334078
776 0 8 _iPrinted edition:
_z9789811334092
856 4 0 _uhttps://doi.org/10.1007/978-981-13-3408-5
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c75817
_d75817