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Piezocone and cone penetration tests (CPTu and CPT) applications in foundation engineering includes different approaches for determining the bearing capacity of shallow foundations, along with methods for determining pile bearing capacity and settlement concepts. The use of soft computing (GMDH) neural networks related to CPT records and Geotechnical parameters are also discussed. In addition, different cases regarding the behavior of foundation performance using case records, such as shallow foundation, deep soil improvement, soil behavior classification (SBC), and bearing capacity are also included.

  • Provides the latest on CPT and CPTu performance in geotechnical engineering, i.e., bearing capacity, settlement, liquefaction, soil classification and shear strength prediction
  • Introduces soft computing methods for processing soil properties and pile bearing capacity via CPT and CPTu
  • Explains CPT and CPTu testing methods which allows for the continuous, or virtually continuous, record of ground conditions

1. 7.1. Introduction - p. 183 2. 7.2. Pile design - p. 185 3. 7.3. CPT records for pile installation - p. 186 4. 7.4. Bearing capacity of deep foundations - p. 186 5. 7.5. Pile axial–bearing capacity from indirect CPT–based approaches - p. 189 6. 7.6. Commonly used direct CPT–based methods for pile axial–bearing capacity - p. 194 7. 7.7. Piles under uplift loading - p. 215 8. 7.8. Comments on the methods - p. 215 9. 7.9. Case study: Urmia Lake causeway (Eslami et al., 2011) - p. 224 10. 8. CPT and CPTu for foundation settlement and load–displacement (P-Δ) estimation - p. 233 11. 9. CPT & CPTu for ground modification - p. 263 12. 10. CPT-based soft computing implementations in foundation engineering - p. 299 13. 11. Uncertainty and reliability in foundation engineering: CPT-Based approach - p. 319 14. 12. CPT and CPTu databases in foundation engineering - p. 353 15. Index - p. 371

Descripcion
Descripción

Piezocone and cone penetration tests (CPTu and CPT) applications in foundation engineering includes different approaches for determining the bearing capacity of shallow foundations, along with methods for determining pile bearing capacity and settlement concepts. The use of soft computing (GMDH) neural networks related to CPT records and Geotechnical parameters are also discussed. In addition, different cases regarding the behavior of foundation performance using case records, such as shallow foundation, deep soil improvement, soil behavior classification (SBC), and bearing capacity are also included.

  • Provides the latest on CPT and CPTu performance in geotechnical engineering, i.e., bearing capacity, settlement, liquefaction, soil classification and shear strength prediction
  • Introduces soft computing methods for processing soil properties and pile bearing capacity via CPT and CPTu
  • Explains CPT and CPTu testing methods which allows for the continuous, or virtually continuous, record of ground conditions

1. 7.1. Introduction - p. 183 2. 7.2. Pile design - p. 185 3. 7.3. CPT records for pile installation - p. 186 4. 7.4. Bearing capacity of deep foundations - p. 186 5. 7.5. Pile axial–bearing capacity from indirect CPT–based approaches - p. 189 6. 7.6. Commonly used direct CPT–based methods for pile axial–bearing capacity - p. 194 7. 7.7. Piles under uplift loading - p. 215 8. 7.8. Comments on the methods - p. 215 9. 7.9. Case study: Urmia Lake causeway (Eslami et al., 2011) - p. 224 10. 8. CPT and CPTu for foundation settlement and load–displacement (P-Δ) estimation - p. 233 11. 9. CPT & CPTu for ground modification - p. 263 12. 10. CPT-based soft computing implementations in foundation engineering - p. 299 13. 11. Uncertainty and reliability in foundation engineering: CPT-Based approach - p. 319 14. 12. CPT and CPTu databases in foundation engineering - p. 353 15. Index - p. 371

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