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An essential guide to improving preliminary geotechnical analysis and design from limited data Soil Properties and their Correlations, Second Edition provides a summary of commonly-used soil engineering properties and gives a wide range of correlations between the various properties, presented in the context of how they will be used in geotechnical design. The book is divided into 11 chapters: Commonly-measured properties; Grading and plasticity; Density; Permeability, Consolidation and settlement; Shear strength; California bearing ratio; Shrinkage and swelling characteristics; Frost susceptibility; Susceptibility to combustion; and Soil-structure interfaces. In addition, there are two appendices: Soil classification systems; and Sampling methods. This new, more comprehensive, edition provides material that would be of practical assistance to those faced with the problem of having to estimate soil behaviour from little or no laboratory test data. Key features: Soil properties explained in practical terms. A large number of correlations between different soil properties. A valuable aid for assessing design values of properties. Clear statements on practical limitations and accuracy. An invaluable source of reference for experienced professionals working on geotechnical design, it will also give students and early-career engineers an in-depth appreciation of the appropriate use of each property and the pitfalls to avoid.
This book presents a one-stop reference to the empirical correlations used extensively in geotechnical engineering. Empirical correlations play a key role in geotechnical engineering designs and analysis. Laboratory and in situ testing of soils can add significant cost to a civil engineering project. By using appropriate empirical correlations, it is possible to derive many design parameters, thus limiting our reliance on these soil tests. The authors have decades of experience in geotechnical engineering, as professional engineers or researchers. The objective of this book is to present a critical evaluation of a wide range of empirical correlations reported in the literature, along with typical values of soil parameters, in the light of their experience and knowledge. This book will be a one-stop-shop for the practising professionals, geotechnical researchers and academics looking for specific correlations for estimating certain geotechnical parameters. The empirical correlations in the forms of equations and charts and typical values are collated from extensive literature review, and from the authors' database.
An essential guide to improving preliminary geotechnical analysis and design from limited data Soil Properties and their Correlations, Second Edition provides a summary of commonly-used soil engineering properties and gives a wide range of correlations between the various properties, presented in the context of how they will be used in geotechnical design. The book is divided into 11 chapters: Commonly-measured properties; Grading and plasticity; Density; Permeability, Consolidation and settlement; Shear strength; California bearing ratio; Shrinkage and swelling characteristics; Frost susceptibility; Susceptibility to combustion; and Soil-structure interfaces. In addition, there are two appendices: Soil classification systems; and Sampling methods. This new, more comprehensive, edition provides material that would be of practical assistance to those faced with the problem of having to estimate soil behaviour from little or no laboratory test data. Key features: Soil properties explained in practical terms. A large number of correlations between different soil properties. A valuable aid for assessing design values of properties. Clear statements on practical limitations and accuracy. An invaluable source of reference for experienced professionals working on geotechnical design, it will also give students and early-career engineers an in-depth appreciation of the appropriate use of each property and the pitfalls to avoid.
Correlations of Soil Properties provides guidance for civil engineers faced with the problem of having to estimate soil behaviour from little or no laboratory test data. It presents typical values of engineering properties for various types or classes of soil, together with correlations between different properties. Particular emphasis is given to correlations with soil classification tests and to the use of classification systems. Included in the correlations are properties that are difficult to measure directly, such as frost susceptibility and swelling potential. In addition, explanations are given of the engineering relevance of the various properties and the justification of the correlations between properties is discussed.
TRB's National Cooperative Highway Research Program (NCHRP) has released NCHRP Research Report 915: Relationship Between Erodibility and Properties of Soils, which provides reliable and simple equations quantifying the erodibility of soils based on soil properties. The report presents a detailed analysis of the issue. In addition, the project that developed the report also produced a searchable spreadsheet that uses statistical techniques to relate geotechnical properties to soil erodibility. The spreadsheet, NCHRP Erosion, includes a searchable database that includes compiled erosion data from the literature review and a plethora of erosion tests. It contains equations which may be used to estimate the erosion resistance of soil and determine whether erosion tests are needed.
The modelling tools for soils and rocks require more and more specific parameters not always available from the standard or usual survey campaigns, this generally for reasons of delay or costs. The use of correlations to solve the gap between available parameters and the required ones is a common practice. Many of them exist but are spread throughout numerous papers or books. The aim of this formulary is to provide a large synthesis of the existing correlations accumulated by the authors during more than 40 years academic and consulting careers.
Predictive Soil Mapping (PSM) is based on applying statistical and/or machine learning techniques to fit models for the purpose of producing spatial and/or spatiotemporal predictions of soil variables i.e. maps of soil properties and classes at different resolutions. It is a multidisciplinary field combining statistics, data science, soil science, physical geography, remote sensing, geoinformation science and a number of other sciences. Predictive Soil Mapping with R is about understanding the main concepts behind soil mapping, mastering R packages that can be used to produce high quality soil maps, and about optimizing all processes involved so that also the production costs can be reduced. The online version of the book is available at: https: //envirometrix.github.io/PredictiveSoilMapping/ Pull requests and general comments are welcome. These materials are based on technical tutorials initially developed by the ISRIC's Global Soil Information Facilities (GSIF) development team over the period 2014-2017
Aimed at taking the mystery out of soil science, Soils: Principles, Properties and Management is a text for undergraduate/graduate students who study soil as a natural resource. Written in a reader-friendly style, with a host of examples, figures and tables, the book leads the reader from the basics of soil science through to complex situations, covering such topics as: the origin, development and classification of soil physical, chemical and biological properties of soil water and nutrient management management of problem soils, wetland soils and forest soils soil degradation Further, the ecological and agrological functions of soil are emphasized in the context of food security, biodiversity and climate change. The interactions between the environment and soil management are highlighted. Soil is viewed as an ecosystem itself and as a part of larger terrestrial ecosystems.
Soil classification and terminology are fundamental issues for the clear understanding and communication of the subject. However, while there are many national soil classification systems, these do not directly correlate with each other. This leads to confusion and great difficulty in undertaking comparative scientific research that draws on more than one system and in making sense of international scientific papers using a system that is unfamiliar to the reader. This book aims to clarify this position by describing and comparing different systems and evaluating them in the context of the World Reference Base (WRB) for Soil Resources. The latter was set up to resolve these problems by creating an international 'umbrella' system for soil correlation. All soil scientists should then classify soils using the WRB as well as their national systems. The book is a definitive and essential reference work for all students studying soils as part of life, earth or environmental sciences, as well as professional soil scientists.Published with International Union of Soil Sciences