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  • © 2019

Practice of Optimisation Theory in Geotechnical Engineering

  • Helps the readers quickly and accurately grasp the features of optimization methods

  • Provides various simulations of laboratory tests and the optimization-based parameter identification procedures

  • Serves as a guidebook for a free software platform, ErosOpt, which allows readers to conduct analytical research

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-xxxvii
  2. Optimization-Based Parameter Identification Theory

    • Zhen-Yu Yin, Yin-Fu Jin
    Pages 9-35
  3. Comparative Study of Typical Optimization Methods

    • Zhen-Yu Yin, Yin-Fu Jin
    Pages 37-46
  4. Examples of Enhancing Optimization Algorithms

    • Zhen-Yu Yin, Yin-Fu Jin
    Pages 47-70
  5. Optimization-Based Evolutionary Polynomial Regression

    • Zhen-Yu Yin, Yin-Fu Jin
    Pages 71-99
  6. Parameter Identification for Soft Structured Clays

    • Zhen-Yu Yin, Yin-Fu Jin
    Pages 101-122
  7. Parameter Identification for Granular Materials

    • Zhen-Yu Yin, Yin-Fu Jin
    Pages 123-145
  8. Optimization-Based Selection of Sand Models

    • Zhen-Yu Yin, Yin-Fu Jin
    Pages 147-198
  9. Development of Geotechnical Optimization Platform EROSOPT

    • Zhen-Yu Yin, Yin-Fu Jin
    Pages 243-292
  10. Back Matter

    Pages 293-356

About this book

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.

Authors and Affiliations

  • Department of Civil and Environmental Engineering, Hong Kong Polytechnic University, Hong Kong, China

    Zhen-Yu Yin, Yin-Fu Jin

About the authors

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.

Bibliographic Information

Buy it now

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access