Advances in Computational Geomechanics
portes grátis
Advances in Computational Geomechanics
Advanced Computational Techniques and Methodologies in Geotechnical Engineering
Hosn, Rodaina Aboul; Shahin, Mohamed
Elsevier - Health Sciences Division
04/2026
500
Mole
Inglês
9780443277085
Pré-lançamento - envio 15 a 20 dias após a sua edição
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Part I: Numerical Modelling and Analysis
1. Finite Element Method (FEM) and Finite Difference Method (FDM)
2. Discrete Element Method (DEM) and DEM-FEM Coupling
3. Emerging Computational Techniques
4. Hybrid Numerical Methods and Future Directions
Part II: Stochastic, Probabilistic and Reliability Analyses
5. Stochastic Methods in Geotechnical Engineering
6. Probabilistic Approaches to Soil Characterization
7. Reliability Analysis in Geotechnical Design
8. Risk Assessment and Management in Geotechnical Projects
Part III: Artificial Intelligence and Machine Learning
9. Machine Learning Algorithms for Geotechnical Data Analysis
10. AI-Based Predictive Models for Soil Behavior and Properties
11. AI in Geotechnical Risk and Decision-Making
12. Data-Driven Approaches for Soil Classification and Site Characterization
1. Finite Element Method (FEM) and Finite Difference Method (FDM)
2. Discrete Element Method (DEM) and DEM-FEM Coupling
3. Emerging Computational Techniques
4. Hybrid Numerical Methods and Future Directions
Part II: Stochastic, Probabilistic and Reliability Analyses
5. Stochastic Methods in Geotechnical Engineering
6. Probabilistic Approaches to Soil Characterization
7. Reliability Analysis in Geotechnical Design
8. Risk Assessment and Management in Geotechnical Projects
Part III: Artificial Intelligence and Machine Learning
9. Machine Learning Algorithms for Geotechnical Data Analysis
10. AI-Based Predictive Models for Soil Behavior and Properties
11. AI in Geotechnical Risk and Decision-Making
12. Data-Driven Approaches for Soil Classification and Site Characterization
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Geomechanics; Computational Geomechanics; Geotechnical Engineering; Soil Mechanics; Rock Mechanics; Stochastic Analysis; Reliability Analysis; Artificial Intelligence; Machine learning; Numerical Modelling Techniques
Part I: Numerical Modelling and Analysis
1. Finite Element Method (FEM) and Finite Difference Method (FDM)
2. Discrete Element Method (DEM) and DEM-FEM Coupling
3. Emerging Computational Techniques
4. Hybrid Numerical Methods and Future Directions
Part II: Stochastic, Probabilistic and Reliability Analyses
5. Stochastic Methods in Geotechnical Engineering
6. Probabilistic Approaches to Soil Characterization
7. Reliability Analysis in Geotechnical Design
8. Risk Assessment and Management in Geotechnical Projects
Part III: Artificial Intelligence and Machine Learning
9. Machine Learning Algorithms for Geotechnical Data Analysis
10. AI-Based Predictive Models for Soil Behavior and Properties
11. AI in Geotechnical Risk and Decision-Making
12. Data-Driven Approaches for Soil Classification and Site Characterization
1. Finite Element Method (FEM) and Finite Difference Method (FDM)
2. Discrete Element Method (DEM) and DEM-FEM Coupling
3. Emerging Computational Techniques
4. Hybrid Numerical Methods and Future Directions
Part II: Stochastic, Probabilistic and Reliability Analyses
5. Stochastic Methods in Geotechnical Engineering
6. Probabilistic Approaches to Soil Characterization
7. Reliability Analysis in Geotechnical Design
8. Risk Assessment and Management in Geotechnical Projects
Part III: Artificial Intelligence and Machine Learning
9. Machine Learning Algorithms for Geotechnical Data Analysis
10. AI-Based Predictive Models for Soil Behavior and Properties
11. AI in Geotechnical Risk and Decision-Making
12. Data-Driven Approaches for Soil Classification and Site Characterization
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
