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| 020 | _a9789811334085 | ||
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_a10.1007/978-981-13-3408-5 _2doi |
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_bspa _dES-MaUEC _cES-MaUEC |
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| 050 | 4 |
_aTA705 _b2019 EB |
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| 100 | 1 |
_aYin, Zhen-Yu _eautor _9671411 |
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| 245 | 1 | 0 |
_aPractice of Optimisation Theory in Geotechnical Engineering _cby Zhen-Yu Yin, Yin-Fu Jin |
| 264 | 1 |
_aSingapore _bSpringer Singapore : _bImprint: Springer _c2019 |
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| 300 |
_a1 recurso en línea (XXXVII, 356 páginas) _b304 ilustraciones, 276 ilustraciones a color |
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| 336 |
_2rdacontent _aTexto _btxt |
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| 337 |
_2rdamedia _asin mediación _bn |
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_2rdacarrier _avolumen _bnc |
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_atext file _bPDF |
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| 490 | 0 | _aEngineering (Springer-11647) | |
| 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 | 3 | _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 | 7 |
_2embne _aGeotecnia _9138341 |
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| 650 | 7 |
_2embne _aIngeniería civil _9138928 |
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| 700 | 1 |
_aJin, Yin-Fu. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 776 | 0 | 8 |
_iPrinted edition: _z9789811334078 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811334092 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-13-3408-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
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_2lcc _cLE |
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| 988 | _aPrimersemestre_2019_Engineering | ||
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