Inhaltsangabe
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.
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Über die Autorin bzw. den Autor
Lei-Lei Liu is an associate professor in the Department of Geological Engineering at Central South University, China. He is the co-author of Analysis, Design, and Construction of Foundations, also published by CRC Press.
Jing-Ze Li is a research associate at Central South University, China. His PhD research was undertaken jointly with Central South University, China and Université Grenoble Alpes, France.
Lei Huang is an associate professor at Sanming University, China. He received his PhD in The Hong Kong Polytechnic University.
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Paperback. Zustand: new. Paperback. 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. This covers the basic theory and applications of Kriging in slope reliability assessment. It gives an extensive and detailed presentation of principles and the latest applications and includes several case studies illustrating practical application and implementation procedures. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9781032756790
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Taschenbuch. Zustand: Neu. Neuware - 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. Bestandsnummer des Verkäufers 9781032756790
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