Practice of Optimisation Theory in Geotechnical Engineering / by Zhen-Yu Yin, Yin-Fu Jin
By: Yin, Zhen-Yu, autor
Contributor(s): SpringerLink (Online service)
| Jin, Yin-Fu., autor
Series: (Engineering (Springer-11647)).Publisher: Singapore : Springer Singapore : Imprint: Springer, 2019Description: 1 recurso en línea (XXXVII, 356 páginas) : 304 ilustraciones, 276 ilustraciones a color.ISBN: 9789811334085.Subject: Geotecnia
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | TA705 2019 EB (Browse shelf(Opens below)) | Acceso electrónico | eBooks24062705 |
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| TA703.5 2022 EB Stability of Slopes and Underground Excavations : Proceedings of Indian Geotechnical Conference 2020 Volume 3 | TA705 2019 EB Recent Advances in Geotechnical Research | TA705 2019 EB Geotechnical Fundamentals for Addressing New World Challenges | TA705 2019 EB Practice of Optimisation Theory in Geotechnical Engineering | TA705 2019 EB Geotechnical Applications : IGC 2016 Volume 4 | TA705 2019 EB Geotechnical Design and Practice : Selected Topics | TA705 2020 EB Geotechnics for Natural Disaster Mitigation and Management |
Introduction -- 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.
This 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.
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