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Uncertainty, Modeling, and Decision Making in Geotechnics [Hardcover]

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  • Category: Books (Technology & Engineering)
  • ISBN-10:  1032367490
  • ISBN-10:  1032367490
  • ISBN-13:  9781032367491
  • ISBN-13:  9781032367491
  • Publisher:  CRC Press
  • Publisher:  CRC Press
  • Pages:  520
  • Pages:  520
  • Binding:  Hardcover
  • Binding:  Hardcover
  • SKU:  1032367490-11-MPOD
  • SKU:  1032367490-11-MPOD
  • Item ID: 107116232
  • Seller: ShopSpell
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  • Delivery by: Oct 15 to Oct 17
  • Notes: Brand New Item. Not shipped to AK, HI, APO, FPO, AE.

1. Uncertainty-informed decision making in Burland Triangle.? 2. Soil and rock parametric uncertainties.? 3. Uncertainty in constitutive models.? 4. Uncertainty in data-driven site characterization.? 5. Variability of predictions in geotechnics.? 6. Geotechnical reliability analysis for practice.? 7. Reliability analysis with reduced order model.? 8. Stochastic finite element methods for slope stability analysis and risk assessment.? 9. Reliability-based design with numerical models.? 10. Probabilistic inverse analysis for geotechnics.? 11. Use of geotechnical software for probabilistic analysis and design.? 12. Reliability-based decision-making with FE models for real-life case studies.? 13. Soil-structure interaction in spatially variable ground.? 14. Reduction of uncertainty through piling data within the same site in the press-in piling method.? 15. Slope reliability assessments for linear infrastructures.? 16. Uncertainty, modelling, and decision making for ground improvement.??

This reference guide from an international team of experts shows how uncertainty quantification and numerical modeling can complement each other to enhance decision making in geotechnical practice, filling a critical gap in guiding practitioners to address uncertainties directly.

Uncertainty, Modeling, and Decision Making in Geotechnics shows how uncertainty quantification and numerical modeling can complement each other to enhance decision-making in geotechnical practice, filling a critical gap in guiding practitioners to address uncertainties directly.

The book helps practitioners acquire a working knowledge of geotechnical risk and reliability methods and guides them to use these methods wisely in conjunction with data and numerical modeling. In particular, it provides guidance on the selection of realistic statistics and a cost-effective, accessible method to address different design objectives, and folƒ%

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