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Book Probabilistic Characterization of Soil Properties

Download or read book Probabilistic Characterization of Soil Properties written by David S. Bowles and published by . This book was released on 1984 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Probabilistic Characterization of Soil Properties

Download or read book Probabilistic Characterization of Soil Properties written by and published by . This book was released on 1984 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book PROBABILISTIC CHARACTERIZATION OF SOIL PROPERTIES  Bridge Between Theory and Practice

Download or read book PROBABILISTIC CHARACTERIZATION OF SOIL PROPERTIES Bridge Between Theory and Practice written by David S. Bowles and published by . This book was released on 1984 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Probabilistic Characterization of Soil Properties

Download or read book Probabilistic Characterization of Soil Properties written by Hon-Yim Ko and published by . This book was released on 1984 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Probabilistic Methods in Geotechnical Engineering

Download or read book Probabilistic Methods in Geotechnical Engineering written by D. V. Griffiths and published by Springer Science & Business Media. This book was released on 2007-12-14 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Probabilistic Site Characterization at the National Geotechnical Experimentation Sites

Download or read book Probabilistic Site Characterization at the National Geotechnical Experimentation Sites written by Erik Vanmarcke and published by . This book was released on 2003 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: GSP 121 contains seven peer-reviewed papers exploring a broad range of methods of probabilistic site characterization.

Book Probabilistic Approaches for Geotechnical Site Characterization and Slope Stability Analysis

Download or read book Probabilistic Approaches for Geotechnical Site Characterization and Slope Stability Analysis written by Zijun Cao and published by Springer. This book was released on 2016-08-06 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first book to revisit geotechnical site characterization from a probabilistic point of view and provide rational tools to probabilistically characterize geotechnical properties and underground stratigraphy using limited information obtained from a specific site. This book not only provides new probabilistic approaches for geotechnical site characterization and slope stability analysis, but also tackles the difficulties in practical implementation of these approaches. In addition, this book also develops efficient Monte Carlo simulation approaches for slope stability analysis and implements these approaches in a commonly available spreadsheet environment. These approaches and the software package are readily available to geotechnical practitioners and alleviate them from reliability computational algorithms. The readers will find useful information for a non-specialist to determine project-specific statistics of geotechnical properties and to perform probabilistic analysis of slope stability.

Book Reliability and Statistics in Geotechnical Engineering

Download or read book Reliability and Statistics in Geotechnical Engineering written by Gregory B. Baecher and published by John Wiley & Sons. This book was released on 2005-08-19 with total page 618 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Probabilistic Methods in Geotechnical Engineering

Download or read book Probabilistic Methods in Geotechnical Engineering written by K.S. Li and published by CRC Press. This book was released on 2020-08-19 with total page 611 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proceedings of this conference contain keynote addresses on recent developments in geotechnical reliability and limit state design in geotechnics. It also contains invited lectures on such topics as modelling of soil variability, simulation of random fields and probability of rock joints. Contents: Keynote addresses on recent development on geotechnical reliability and limit state design in geotechnics, and invited lectures on modelling of soil variability, simulation of random field, probabilistic of rock joints, and probabilistic design of foundations and slopes. Other papers on analytical techniques in geotechnical reliability, modelling of soil properties, and probabilistic analysis of slopes, embankments and foundations.

Book Soil Properties and their Correlations

Download or read book Soil Properties and their Correlations written by Michael Carter and published by John Wiley & Sons. This book was released on 2016-09-26 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Probabilistic Methods in Geotechnical Engineering

Download or read book Probabilistic Methods in Geotechnical Engineering written by K.S. Li and published by CRC Press. This book was released on 2020-08-19 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proceedings of this conference contain keynote addresses on recent developments in geotechnical reliability and limit state design in geotechnics. It also contains invited lectures on such topics as modelling of soil variability, simulation of random fields and probability of rock joints. Contents: Keynote addresses on recent development on geotechnical reliability and limit state design in geotechnics, and invited lectures on modelling of soil variability, simulation of random field, probabilistic of rock joints, and probabilistic design of foundations and slopes. Other papers on analytical techniques in geotechnical reliability, modelling of soil properties, and probabilistic analysis of slopes, embankments and foundations.

Book Risk and Reliability in Geotechnical Engineering

Download or read book Risk and Reliability in Geotechnical Engineering written by Kok-Kwang Phoon and published by CRC Press. This book was released on 2018-10-09 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: Establishes Geotechnical Reliability as Fundamentally Distinct from Structural Reliability Reliability-based design is relatively well established in structural design. Its use is less mature in geotechnical design, but there is a steady progression towards reliability-based design as seen in the inclusion of a new Annex D on "Reliability of Geotechnical Structures" in the third edition of ISO 2394. Reliability-based design can be viewed as a simplified form of risk-based design where different consequences of failure are implicitly covered by the adoption of different target reliability indices. Explicit risk management methodologies are required for large geotechnical systems where soil and loading conditions are too varied to be conveniently slotted into a few reliability classes (typically three) and an associated simple discrete tier of target reliability indices. Provides Realistic Practical Guidance Risk and Reliability in Geotechnical Engineering makes these reliability and risk methodologies more accessible to practitioners and researchers by presenting soil statistics which are necessary inputs, by explaining how calculations can be carried out using simple tools, and by presenting illustrative or actual examples showcasing the benefits and limitations of these methodologies. With contributions from a broad international group of authors, this text: Presents probabilistic models suited for soil parameters Provides easy-to-use Excel-based methods for reliability analysis Connects reliability analysis to design codes (including LRFD and Eurocode 7) Maximizes value of information using Bayesian updating Contains efficient reliability analysis methods Accessible To a Wide Audience Risk and Reliability in Geotechnical Engineering presents all the "need-to-know" information for a non-specialist to calculate and interpret the reliability index and risk of geotechnical structures in a realistic and robust way. It suits engineers, researchers, and students who are interested in the practical outcomes of reliability and risk analyses without going into the intricacies of the underlying mathematical theories.

Book Characterisation and Engineering Properties of Natural Soils  Two Volume Set

Download or read book Characterisation and Engineering Properties of Natural Soils Two Volume Set written by T.S. Tan and published by CRC Press. This book was released on 2006-11-16 with total page 1268 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Book Probabilistic Analysis of the Compressibility of Soils

Download or read book Probabilistic Analysis of the Compressibility of Soils written by Byoung Chan Jung and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Geotechnical engineers are always faced with uncertainties and spatial variations in material parameters. In this work, we propose to develop a framework able to account for different types of uncertainties in a formal and logical manner, to incorporate all available sources of information, and to integrate the uncertainty in an estimate of the probability. In geotechnical engineering, current soil classification charts based on CPT data may not provide an accurate prediction of soil type, even though soil classification is an essential component in the design process. As a cheaper and faster alternative to sample retrieval and testing, field methods such as the cone penetration test (CPT) can be used. A probabilistic soil classification approach is proposed here to improve soil classification based on CPT. The proposed approach provides a simple and straightforward tool that allows updating the soil classification charts based on sitespecific data. In general, settlements can be the result of surface loads or variable soil deposits. In current practice, the analysis to determine settlements is deterministic. It assumes that the soil profile at a site is uniform from location to location, and only allows limited consideration of the variations of the material properties and initial conditions within soil layers in spite of the wide range of compositions, gradations, and water contents in natural soils. A Bayesian methodology is used to develop an unbiased probabilistic model that accurately predicts the settlements and accounts for all the prevailing uncertainties. The proposed probabilistic model is used to estimate the settlements of the foundation of a structure in the Venice Lagoon, Italy. The conditional probability (fragility) of exceeding a specified settlement threshold for a given vertical pressure is estimated. A predictive fragility and confidence intervals are developed with special attention given to the treatment and quantification of aleatory and epistemic uncertainties. Sensitivity and importance measures are computed to identify the key parameters and random variables in the model.

Book Spatial Variability Models and Prediction Analysis of Soil Properties Using Geostatistics

Download or read book Spatial Variability Models and Prediction Analysis of Soil Properties Using Geostatistics written by Tejo Vikash Bheemasetti and published by . This book was released on 2015 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soils are composed of solid, water and air phases whose characteristics are highly variable. The interactions of these phases in the soil matrix can lead to different types of topographical formations and characteristics. Due to the uncertainty and complex interactions among these phases, studies on soils have always been a challenging problem for engineers. These variations and uncertainties make it necessary for engineers to adopt new techniques and methods to analyze soil properties in order to determine or interpret their generalized behaviors and patterns. Existing research in variability analysis tends to focus on the distribution of the soil properties, reliability-based design, and simulation of random fields. Despite an increase in the probabilistic and statistical analysis, many challenges remain in incorporating the spatial variability present in the soil properties into prediction analysis. In this research study, a framework was developed using univariate statistics and randomized random variable theory for analyzing the spatially-varied soil properties. The spatial variability present in the soil properties was modeled using the geostatistical tool, Variograms. The variability models were utilized to interpret the soil properties in three different studies in geotechnical engineering, encompassing natural soils, man-made soils, and natural soils rich with chemicals such as sulfates. This research highlights the adaptability of the framework for analyzing the soil properties varying from low-to-high variability.

Book Practice of Bayesian Probability Theory in Geotechnical Engineering

Download or read book Practice of Bayesian Probability Theory in Geotechnical Engineering written by Wan-Huan Zhou and published by Springer Nature. This book was released on 2020-11-13 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces systematically the application of Bayesian probabilistic approach in soil mechanics and geotechnical engineering. Four typical problems are analyzed by using Bayesian probabilistic approach, i.e., to model the effect of initial void ratio on the soil–water characteristic curve (SWCC) of unsaturated soil, to select the optimal model for the prediction of the creep behavior of soft soil under one-dimensional straining, to identify model parameters of soils and to select constitutive model of soils considering critical state concept. This book selects the simple and easy-to-understand Bayesian probabilistic algorithm, so that readers can master the Bayesian method to analyze and solve the problem in a short time. In addition, this book provides MATLAB codes for various algorithms and source codes for constitutive models so that readers can directly analyze and practice. This book is useful as a postgraduate textbook for civil engineering, hydraulic engineering, transportation, railway, engineering geology and other majors in colleges and universities, and as an elective course for senior undergraduates. It is also useful as a reference for relevant professional scientific researchers and engineers.