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.
- 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
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
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.
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.
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. 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.
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