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Risk and reliability analysis is an area of growing importance in geotechnical engineering, where many variables have to be considered. Statistics, reliability modeling and engineering judgement are employed together to develop risk and decision analyses for civil engineering systems. The resulting engineering models are used to make probabilistic predictions, which are applied to geotechnical problems. Reliability & Statistics in Geotechnical Engineering comprehensively covers the subject of risk and reliability in both practical and research terms * Includes extensive use of case studies * Presents topics not covered elsewhere--spatial variability and stochastic properties of geological materials * No comparable texts available Practicing engineers will find this an essential resource as will graduates in geotechnical engineering programmes.
This report provides a tutorial introduction to practical techniques of statistical data analysis for geotechnical engineering--the intended audience is the practicing geotechnical engineer with little or no background in statistics. The approach summarizes soil parameters by two numbers: a best estimate and a measure of uncertainty. Uncertainties in soil parameter estimates of four types are considered--(a) variability in the soil deposit; (b) random measurement error; (c) measurement bias; and (d) limited numbers of tests. The first two cause data scatter. The second two cause systematic error. A procedure is developed to assess each source individually and then to combine them into a statistical soil profile. The statistical profile shows the best estimate of soil properties with depth and uncertainty envelopes about that profile. The statistical design profile is the first step in error analysis, as described in the accompanying report. AD-A186795. Keywords: Embankment dams; Risk assessment.
Geotechnical and Geophysical Site Characterization collects the papers presented at the Third International Conference on Site Characterization (ISC 3) that took place in Taipei from April 1-4, 2008. The subjects covered include new developments in mechanical in-situ testing and interpretation techniques, statistical analysis of test data, geo
Learn to use probabilistic techniques to solve problems in geotechnical engineering. The book reviews the statistical theories needed to develop the methodologies and interpret the results. Next, the authors explore probabilistic methods of analysis, such as the first order second moment method, the point estimate method, and random set theory. Examples and case histories guide you step by step in applying the techniques to particular problems.
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.
This textbook systematically introduces the theories, methods, and algorithms for geotechnical reliability analysis. There are a lot of illustrative examples in the textbook such that readers can easily grasp the concepts and theories related to geotechnical reliability analysis. A unique feature of the textbook is that computer codes are also provided through carefully designed examples such that the methods and the algorithms described in the textbook can be easily understood. In addition, the computer codes are flexible and can be conveniently extended to analyze different types of realistic problems with little additional efforts.
The proceedings contain lectures and short papers presented at the NATO Advanced Study Institute on »Reliability Theory and Its Application in Structural and Soil Me chanics», Bornholm, Denmark, August 31 -September 9,1982. The proceedings are organized in two parts. The first part contains 12 papers by the invited lecturers and the second part contains 23 papers by participants plus one paper from an invited lecturer (la~e arrival). The Institute dealt with specific topics on application of modem reliability theories in structural engineering and soil mechanics. Both fundamental theory and more ad vanced theory were covered. Lecture courses were followed by tutorial and summary discussions with active participation of those attending the Institute. Special lectures of topical subjects were given by a number of invited speake~, leading to plenary dis cussions and summary statements on important aspects of application of modem .re liability theory in structural engineering and soil mechanics. A great number of the participants presented brief reports of their own research activities.
Following on from the first two volumes, published in 2002, volumes 3 and 4 of Characterisation and Engineering Properties of Natural Soils review laboratory testing, in-situ testing, and methods of characterising natural soil variability, illustrated by actual site data. Less well-documented soil types are highlighted and the various papers take i