Modeling in Geotechnical Engineering
Editat de Pijush Samui, Sunita Kumari, Vladimir Makarov, Pradeep Kurupen Limba Engleză Paperback – 9 dec 2020
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
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Specificații
ISBN-13: 9780128212059
ISBN-10: 0128212055
Pagini: 516
Ilustrații: Approx. 250 illustrations
Dimensiuni: 152 x 229 mm
Greutate: 0.69 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0128212055
Pagini: 516
Ilustrații: Approx. 250 illustrations
Dimensiuni: 152 x 229 mm
Greutate: 0.69 kg
Editura: ELSEVIER SCIENCE
Public țintă
Postgraduate students and researchers in the field of geotechnical engineeringConsulting engineers in the field of geotechnical engineering
Cuprins
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
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