Reliability Based Design And Analysis Of Deep Foundations At The Service Limit State
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Author | : Murad Abu-Farsakh |
Publisher | : Springer |
Total Pages | : 314 |
Release | : 2017-07-11 |
Genre | : Science |
ISBN | : 3319616420 |
This volume on “Advances in Analysis and Design of Deep Foundations” contains 22 technical papers which cover various aspects of analysis and design of deep foundations based on full-scale field testing, numerical modeling, and analytical solutions. The technical papers are 8-10 pages long that present the results and findings from research as well as practical-oriented studies on deep foundations that are of interest to civil/geotechnical engineering community. The topics cover a wide spectrum of applications that include evaluation of the axial and lateral capacity of piles, pile group effects, evaluation of the increase in pile capacity with time (or pile setup), influence of excavation on pile capacity, study the behavior of pile raft caisson foundations, evaluate the bearing capacity and settlement of piles from cone penetration tests, etc. This volume is part of the proceedings of the 1st GeoMEast International Congress and Exhibition on Sustainable Civil Infrastructures, Egypt 2017.
Author | : Bak Kong Low |
Publisher | : CRC Press |
Total Pages | : 399 |
Release | : 2021-11-01 |
Genre | : Technology & Engineering |
ISBN | : 1000472566 |
This book contains probabilistic analyses and reliability-based designs (RBDs) for the enhancement of Eurocode 7 (EC7) and load and resistance factor design (LRFD) methods. An intuitive perspective and efficient computational procedure for the first-order reliability method (FORM, which includes the Hasofer–Lind reliability index) is explained, together with discussions on the similarities and differences between the design point of EC7/LRFD and RBD-via-FORM. Probability-based designs with respect to the ultimate and serviceability limit states are demonstrated for soil and rock engineering, including shallow and deep foundations, earth-retaining structures, soil slopes, 2D rock slopes with discontinuities, 3D rock slopes with wedge mechanisms, and underground rock excavations. Renowned cases in soil and rock engineering are analyzed both deterministically and probabilistically, and comparisons are made with other probabilistic methods. This book is ideal for practitioners, graduate students and researchers and all who want to deepen their understanding of geotechnical RBD accounting for uncertainty and overcome some limitations and potential pitfalls of the evolving LRFD and EC7. Solutions for the book’s examples are available online and are helpful to acquire a hands-on appreciation: https://www.routledge.com/9780367631390.
Author | : Masaki Kitazume |
Publisher | : CRC Press |
Total Pages | : 434 |
Release | : 2013-02-21 |
Genre | : Technology & Engineering |
ISBN | : 0203589637 |
The Deep Mixing Method (DMM), a deep in-situ soil stabilization technique using cement and/or lime as a stabilizing agent, was developed in Japan and in the Nordic countries independently in the 1970s. Numerous research efforts have been made in these areas investigating properties of treated soil, behavior of DMM improved ground under static and d
Author | : Patrick Arnold |
Publisher | : IOS Press |
Total Pages | : 340 |
Release | : 2013 |
Genre | : Science |
ISBN | : 1614991626 |
The ground is one of the most highly variable of engineering materials. It is therefore not surprising that geotechnical designs depend on local site conditions and local engineering experience. Engineering practices, relating to investigation and design methods site understanding and to safety levels acceptable to society, will therefore vary between different regions.The challenge in geotechnical engineering is to make use of worldwide geotechnical experience, established over many years, to aid in the development and harmonization of geotechnical design codes. Given the significant uncertainties involved, empiricism and engineering
Author | : Kok-Kwang Phoon |
Publisher | : CRC Press |
Total Pages | : 545 |
Release | : 2008-04-25 |
Genre | : Technology & Engineering |
ISBN | : 0203934245 |
Reliability-based design is the only engineering methodology currently available which can ensure self-consistency in both physical and probabilistic terms. It is also uniquely compatible with the theoretical basis underlying other disciplines such as structural design. It is especially relevant as geotechnical design becomes subject to increasing codification and to code harmonization across national boundaries and material types. Already some codes of practice describe the principles and requirements for safety, serviceability, and durability of structures in reliability terms. This book presents practical computational methods in concrete steps that can be followed by practitioners and students. It also provides geotechnical examples illustrating reliability analysis and design. It aims to encourage geotechnical engineers to apply reliability-based design in a realistic context that recognises the complex variabilities in geomaterials and model uncertainties arising from a profession steeped in empiricism. By focusing on learning through computations and examples, this book serves as a valuable reference for engineers and a resource for students.
Author | : |
Publisher | : |
Total Pages | : 788 |
Release | : 2009 |
Genre | : Engineering geology |
ISBN | : |
Author | : Michael A. Hicks |
Publisher | : Thomas Telford |
Total Pages | : 234 |
Release | : 2007 |
Genre | : Technology & Engineering |
ISBN | : 9780727734860 |
This book presents cutting edge techniques for characterising, quantifying and modelling geomaterial variability in addition to methods for quantifying the influence of this variability on the performance of geotechnical structures. It includes state-of-the-art refereed journal papers by leading international researchers along with written and informal discussions on a selection of key submissions that were presented at a Symposium at the Institution of Civil Engineers on 9th May 2005.
Author | : Chong Tang |
Publisher | : CRC Press |
Total Pages | : 589 |
Release | : 2021-03-16 |
Genre | : Technology & Engineering |
ISBN | : 0429658397 |
Model Uncertainties in Foundation Design is unique in the compilation of the largest and the most diverse load test databases to date, covering many foundation types (shallow foundations, spudcans, driven piles, drilled shafts, rock sockets and helical piles) and a wide range of ground conditions (soil to soft rock). All databases with names prefixed by NUS are available upon request. This book presents a comprehensive evaluation of the model factor mean (bias) and coefficient of variation (COV) for ultimate and serviceability limit state based on these databases. These statistics can be used directly for AASHTO LRFD calibration. Besides load test databases, performance databases for other geo-structures and their model factor statistics are provided. Based on this extensive literature survey, a practical three-tier scheme for classifying the model uncertainty of geo-structures according to the model factor mean and COV is proposed. This empirically grounded scheme can underpin the calibration of resistance factors as a function of the degree of understanding – a concept already adopted in the Canadian Highway Bridge Design Code and being considered for the new draft for Eurocode 7 Part 1 (EN 1997-1:202x). The helical pile research in Chapter 7 was recognised by the 2020 ASCE Norman Medal.
Author | : Seung-Kyum Choi |
Publisher | : Springer Science & Business Media |
Total Pages | : 309 |
Release | : 2006-11-15 |
Genre | : Technology & Engineering |
ISBN | : 1846284457 |
This book provides readers with an understanding of the fundamentals and applications of structural reliability, stochastic finite element method, reliability analysis via stochastic expansion, and optimization under uncertainty. It examines the use of stochastic expansions, including polynomial chaos expansion and Karhunen-Loeve expansion for the reliability analysis of practical engineering problems.
Author | : Gordon A. Fenton |
Publisher | : John Wiley & Sons |
Total Pages | : 488 |
Release | : 2008-09-02 |
Genre | : Science |
ISBN | : |
NEW PROBABILISTIC APPROACHES FOR REALISTIC RISK ASSESSMENT IN GEOTECHNICAL ENGINEERING. This text presents a thorough examination of the theories and methodologies available for risk assessment in geotechnical engineering, spanning the full range from established single-variable and "first order" methods to the most recent, advanced numerical developments. In response to the growing application of LRFD methodologies in geotechnical design, coupled with increased demand for risk assessments from clients ranging from regulatory agencies to insurance companies, authors Fenton and Griffiths have introduced an innovative reliability-based risk assessment method, the Random Finite Element Method (RFEM). The authors have spent more than fifteen years developing this statistically based method for modeling the real spatial variability of soils and rocks. As demonstrated in the book, RFEM performs better in real-world applications than traditional risk assessment tools that do not properly account for the spatial variability of geomaterials. This text is divided into two parts: Part One, Theory, explains the theory underlying risk assessment methods in geotechnical engineering. This part's seven chapters feature more than 100 worked examples, enabling you to develop a detailed understanding of the methods. Part Two, Practice, demonstrates how to use advanced probabilistic tools for several classical geotechnical engineering applications. Working with the RFEM, the authors show how to assess risk in problems familiar to all geotechnical engineers. All the programs used for the geotechnical applications discussed in Part Two may be downloaded from the authors' Web site at www.engmath.dal.ca/rfem/ at no charge, enabling you to duplicate the authors' results and experiment with your own data. In short, you get all the theory and practical guidance you need to apply the most advanced probabilistic approaches for managing uncertainty in geotechnical design.