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Modeling in Geotechnical Engineering

  • 1st book:metaData.edition - December 1, 2020
  • book:metaData.latestEdition
  • common:contributors.editors Pijush Samui, Sunita Kumari, Vladimir Makarov, Pradeep Kurup
  • publicationLanguages:language

Modeling in Geotechnical Engineering is a one stop reference for a range of computational models, the theory explaining how they work, and case studies describing how to apply the… seeMoreDescription

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Modeling in Geotechnical Engineering is a one stop reference for a range of computational models, the theory explaining how they work, and case studies describing how to apply them. Drawing on the expertise of contributors from a range of disciplines including geomechanics, optimization, and computational engineering, this book provides an interdisciplinary guide to this subject which is suitable for readers from a range of backgrounds.

Before tackling the computational approaches, a theoretical understanding of the physical systems is provided that helps readers to fully grasp the significance of the numerical methods. The various models are presented in detail, and advice is provided on how to select the correct model for your application.

promoMetaData.keyFeatures

  • Provides detailed descriptions of different computational modelling methods for geotechnical applications, including the finite element method, the finite difference method, and the boundary element method
  • Gives readers the latest advice on the use of big data analytics and artificial intelligence in geotechnical engineering
  • Includes case studies to help readers apply the methods described in their own work

promoMetaData.readership

Postgraduate students and researchers in the field of geotechnical engineering. Consulting engineers in the field of geotechnical engineering

promoMetaData.tableOfContents

1. Finite Element Method

2. Finite Difference Method

3. Boundary Element Method

4. Constitutive Models

5. Slope stability

6. Soil-fluid interaction

7. Soil-structure problem

8. Reliability based solution

9. Seepage and consolidation

10. Risk analysis

11. Stochastic Modeling

12. Geoenvironmental Modeling

13. Computational Intelligence

14. BIG data in geotechnical engineering

15. Dynamic behaviour of geo-structure

16. Optimization techniques

17. Limit state analysis

18. Mess Free Method

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  • productDetails.edition: 1
  • book:metaData.latestEdition
  • productDetails.published: December 1, 2020
  • publicationLanguages:languageTitle: publicationLanguages:en

promoMetaData.aboutTheEditors

PS

Pijush Samui

Dr. Samui is an Associate Professor in the Department of Civil Engineering at NIT Patna, India. He received his PhD in Geotechnical Engineering from the Indian Institute of Science Bangalore, India, in 2008. His research interests include geohazard, earthquake engineering, concrete technology, pile foundation and slope stability, and application of AI for solving different problems in civil engineering. Dr. Samui is a repeat Elsevier editor but also a prolific contributor to journal papers, book chapters, and peer-reviewed conference proceedings.

promoMetaData.affiliationsAndExpertise
Associate Professor, Department of Civil Engineering, National Institute of Technology Patna, Patna, Bihar, India

SK

Sunita Kumari

Prof. Sunita Kumari earned her Ph.D in Civil Engineering at Indian Institute of

Technology Roorkee. Prof. Sunita had joined National Institute of Technology Patna as

a faculty in 2006 and presently she is holding position of Professor in the department of

Civil Engineering. She has supervised many PhD, post graduates and graduates students

with teaching experience of more than 17 years in field of Geotechnical Engineering and

Earthquake engineering. Her fields of specialization and interest include: Modeling of

liquefaction and remedial measures, liquefaction behaviour of fine grained soil,

practical application of soft computing in engineering, Coupled soil- fluid interaction,

Coupled finite- Infinite Element solution of geotechnical problems. Prof. Sunita has

developed modeling procedures for determination of response to dynamic behaviour

of soil. She has also addressed a shortage of existing empirical, semi-empirical, and

simplified equations for the evaluation of geo-risks. In addition to the collaborative work

that motivated the development of these new modeling procedures in geotechnical

engineering, she is also involved in applied and collaborative work and research projects

that focus on numerical models. In addition, she also developed Finite element based

code for determination of seismic liquefaction potential of soil with infinite boundary.

promoMetaData.affiliationsAndExpertise
National Institute of Technology Patna

VM

Vladimir Makarov

Vladimir Makarov is a Professor, and head of the laboratory of Geomechanics of Highly Compressed Rock & Rock Mass at Far-Eastern Federal University, Vladivostock, Russia. He is also an Honorary Professor at the University of Science and Technology of China (Beijing). His research is currently focused on stress state determination.
promoMetaData.affiliationsAndExpertise
Geomechanics of Highly Compressed Rock and Rock Mass, Far-Eastern Federal University, Vladivostock, Russia

PK

Pradeep Kurup

Pradeep Kurup is a Distinguished University Professor and Department Chair in Civil and Environmental Engineering at the Francis College of Engineering, University of Massachusetts, Lowell, USA. His research interests include multi-sensor data fusion, site characterization and monitoring, finite element modeling, and soil-structure interaction.
promoMetaData.affiliationsAndExpertise
Civil and Environmental Engineering, Francis College of Engineering, University of Massachusetts, Lowell, USA

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