This book presents the development of an 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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Zhen-Yu Yin is an Associate Professor of Geotechnical Engineering at The Hong Kong Polytechnic University since 2018. Dr. Yin received his BSc in Civil Engineering from Zhejiang University in 1997, followed by a 5 years engineering consultancy at the Zhejiang Jiahua Architecture Design Institute. Then, he obtained his MSc and Ph.D. in Geotechnical Engineering at Ecole Centrale de Nantes (France) in 2003 and 2006 respectively. Then he has been working as postdoctoral researcher at Helsinki University of Technology (Finland), University of Strathclyde (Glasgow, UK), Ecole Centrale de Nantes and the University of Massachusetts (Umass-Amherst, USA). In 2010 he joined Shanghai Jiao Tong University as Special Researcher and received the honor of the "Professor of Exceptional Rank of Shanghai Dong-Fang(the Eastern) Scholar". In 2013, he joined Ecole Centrale de Nantes as an Associate Professor before moving to Hong Kong. Dr. Yin has published over 100 articles in peer-reviewed journals. He has been a member of the granular materials committee of American Society of Civil Engineers since 2012.
Yin-Fu Jin received his bachelor's degree in civil engineering from the Northwest A&F University in 2011 and received his Ph.D. degree in geotechnical engineering from Ecole Centrale de Nantes at France in 2016. He is mainly interested in soil mechanics and parameter identification. He has published more than 10 peer-reviewed papers in international journals such as Acta Geotechnica, International Journal for Numerical and Analytical Methods in Geomechanics, Ocean Engineering and Engineering Geology.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents the development of an 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. 396 pp. Englisch. N° de réf. du vendeur 9789811334078
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Helps the readers quickly and accurately grasp the features of optimization methodsProvides various simulations of laboratory tests and the optimization-based parameter identification proceduresServes as a guidebook f. N° de réf. du vendeur 252635365
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Buch. Etat : Neu. Practice of Optimisation Theory in Geotechnical Engineering | Yin-Fu Jin (u. a.) | Buch | xxxvii | Englisch | 2019 | Springer Singapore | EAN 9789811334078 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. N° de réf. du vendeur 114824224
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Buch. Etat : Neu. Neuware -This book presents the development of an 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 396 pp. Englisch. N° de réf. du vendeur 9789811334078
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents the development of an 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. N° de réf. du vendeur 9789811334078
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