- 340 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Kriging in Slope Reliability Analysis
About this book
Kriging can be used to determine optimal unbiased predictions for regionalized variables and has been shown to be a powerful tool in slope reliability analysis for reliability-based design. This is the first book to systematically cover the basic theory and applications of the method in slope reliability assessment.
The book gives an extensive and detailed presentation of principles and applications, introducing geostatistics and the basic theory of Kriging before addressing the challenges in the application of Kriging in slope reliability analysis. The latest advancements in Kriging application methods are introduced, which enhance computational accuracy and reduce model errors. These include optimization algorithms for spatial parameters in Kriging, adaptive modeling of spatial correlation structures, efficient sampling methods based on Monte Carlo simulation, quantitative analysis of slope failure risks, and reliability analysis methods for unreinforced and reinforced slopes based on conditional random fields. Several case studies are presented to illustrate the practical application and implementation procedures, bridging theory, and practical engineering.
Kriging in Slope Reliability Analysis particularly suits consulting engineers, researchers, and postgraduate students.
Frequently asked questions
- Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
- Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Information
Table of contents
- Cover
- Half Title
- Title
- Copyright
- Contents
- 1 Introduction
- 2 Overview of geostatistics and spatial sampling
- 3 Basic theory of Kriging
- 4 Application of Kriging in slope reliability analysis
- 5 Genetic algorithm-optimized Taylor Kriging surrogate model for system reliability analysis of soil slopes
- 6 Adaptively selected-autocorrelation structure-based Kriging metamodel for slope reliability analysis
- 7 System reliability analysis of soil slopes using an advanced Kriging metamodel and quasi Monte Carlo simulation
- 8 Efficient slope reliability analysis and risk assessment based on multiple Kriging surrogate models
- 9 A new active learning Kriging surrogate model for structural system reliability analysis with multiple failure modes
- 10 New Kriging methods for efficient system slope reliability analysis considering soil spatial variability
- 11 Conditional random field reliability analysis of a cohesion-frictional slope
- 12 Reliability analysis and risk assessment of pile-reinforced slopes considering spatial soil variability and site investigation
- 13 Summary and concluding remarks
- Index