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Linear And Non Linear Numerical Analysis Of Foundations

Author: John W. Bull
Publisher: CRC Press
ISBN: 1482265958
Size: 76.10 MB
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Correctly understanding, designing and analyzing the foundations that support structures is fundamental to their safety. This book by a range of academic, design and contracting world experts provides a review of the state-of-the-art techniques for modelling foundations using both linear and non linear numerical analysis. It applies to a range of infrastructure, civil engineering and structural engineering projects and allows designers, engineers, architects, researchers and clients to understand some of the advanced numerical techniques used in the analysis and design of foundations. Topics include: Ground vibrations caused by trains Pile-group effects Bearing capacity of shallow foundations under static and seismic conditions Bucket foundation technology for offshore oilfields Seismically induced liquefaction in earth embankment foundations and in pile foundations Free vibrations of industrial chimneys and TV towers with flexibility of the soil Settlements of high rise structures Seepage, stress fields and dynamic responses in dams Site investigation

Numerical Analysis Of Nonlinear Coupled Problems

Author: Hany Shehata
Publisher: Springer
ISBN: 3319619055
Size: 42.52 MB
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This volume deals with numerical simulation of coupled problems in soil mechanics and foundations. It contains analysis of both shallow and deep foundations. Several nonlinear problems are considered including, soil plasticity, cracking, reaching the soil bearing capacity, creep, etc. Dynamic analysis together with stability analysis are also included. Several numerical models of dams are considered together with coupled problems in soil mechanics and foundations. It gives wide range of modelling soil in different parts of the world. This volume is part of the proceedings of the 1st GeoMEast International Congress and Exhibition on Sustainable Civil Infrastructures, Egypt 2017.

A Short Course In Soil Structure Engineering Of Deep Foundations Excavations And Tunnels

Author: C. W. W. Ng
Publisher: Thomas Telford
ISBN: 9780727732637
Size: 78.22 MB
Format: PDF, ePub
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The book gives both student and practising civil engineers a useful review of the state-of-the-art of designing deep foundations, excavations and tunnels. In addition, the case studies and numerical modelling presented give valuable insights into the challenges of soil-structure engineering.

Foundation Of Numerical Analysis

Author: S. Nakamura
Publisher: Createspace Independent Publishing Platform
ISBN: 9781530228027
Size: 79.62 MB
Format: PDF, Kindle
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This book is a text and reference book on methods of numerical analysis applied with GNU Octave and Matlab at college entry level. The book describes linear algebra, polynomials and polynomial interpolations, numerical integration, difference approximation, roots finding for non-linear equations, and curve fitting to experimental data. Numerical methods described are all applied on GNU Octave and Matlab with ample explanations about the GNU Octave and Matlab commands. Each chapter has exercise problems which are fully answered in the back of the book along with the lists of programs used to answer the problems. This book is seamlessly continued from author's other books, GNU Octave Primer for Beginners or Octave/Matlab Primer and Applications. For more information about these books, please visit http: //

Numerical Analysis Of Wavelet Methods

Author: A. Cohen
Publisher: Elsevier
ISBN: 9780080537856
Size: 48.34 MB
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Since their introduction in the 1980's, wavelets have become a powerful tool in mathematical analysis, with applications such as image compression, statistical estimation and numerical simulation of partial differential equations. One of their main attractive features is the ability to accurately represent fairly general functions with a small number of adaptively chosen wavelet coefficients, as well as to characterize the smoothness of such functions from the numerical behaviour of these coefficients. The theoretical pillar that underlies such properties involves approximation theory and function spaces, and plays a pivotal role in the analysis of wavelet-based numerical methods. This book offers a self-contained treatment of wavelets, which includes this theoretical pillar and it applications to the numerical treatment of partial differential equations. Its key features are: 1. Self-contained introduction to wavelet bases and related numerical algorithms, from the simplest examples to the most numerically useful general constructions. 2. Full treatment of the theoretical foundations that are crucial for the analysis of wavelets and other related multiscale methods : function spaces, linear and nonlinear approximation, interpolation theory. 3. Applications of these concepts to the numerical treatment of partial differential equations : multilevel preconditioning, sparse approximations of differential and integral operators, adaptive discretization strategies.

Classical And Modern Numerical Analysis

Author: Azmy S. Ackleh
Publisher: CRC Press
ISBN: 9781420091588
Size: 41.48 MB
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Classical and Modern Numerical Analysis: Theory, Methods and Practice provides a sound foundation in numerical analysis for more specialized topics, such as finite element theory, advanced numerical linear algebra, and optimization. It prepares graduate students for taking doctoral examinations in numerical analysis. The text covers the main areas of introductory numerical analysis, including the solution of nonlinear equations, numerical linear algebra, ordinary differential equations, approximation theory, numerical integration, and boundary value problems. Focusing on interval computing in numerical analysis, it explains interval arithmetic, interval computation, and interval algorithms. The authors illustrate the concepts with many examples as well as analytical and computational exercises at the end of each chapter. This advanced, graduate-level introduction to the theory and methods of numerical analysis supplies the necessary background in numerical methods so that students can apply the techniques and understand the mathematical literature in this area. Although the book is independent of a specific computer program, MATLAB® code is available on the authors' website to illustrate various concepts.

Introduction To Numerical Analysis Using Matlab

Author: Rizwan Butt
Publisher: Jones & Bartlett Learning
ISBN: 9780763773762
Size: 37.12 MB
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Part of the new Digital Filmmaker Series! Digital Filmmaking: An Introductionis the first book in the newDigital Filmmaker Series. Designed for an introductory level course in digital filmmaking, it is intended for anyone who has an interest in telling stories with pictures and sound and won't assume any familiarity with equipment or concepts on the part of the student. In addition to the basics of shooting and editing, different story forms are introduced from documentary and live events through fictional narratives. Each of the topics is covered in enough depth to allow anyone with a camera and a computer to begin creating visual projects of quality.

Special Volume Foundations Of Computational Mathematics

Author: Phillipe G. Ciarlet
Publisher: Gulf Professional Publishing
ISBN: 9780444512475
Size: 39.95 MB
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From geometric integration and its applications, and linear programming and condition numbers under the real number computational model, to chaos in finite difference schemes, these essays explore the foundational issues of computational mathematics.

Numerical Methods For Nonlinear Partial Differential Equations

Author: Sören Bartels
Publisher: Springer
ISBN: 3319137972
Size: 70.92 MB
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The description of many interesting phenomena in science and engineering leads to infinite-dimensional minimization or evolution problems that define nonlinear partial differential equations. While the development and analysis of numerical methods for linear partial differential equations is nearly complete, only few results are available in the case of nonlinear equations. This monograph devises numerical methods for nonlinear model problems arising in the mathematical description of phase transitions, large bending problems, image processing, and inelastic material behavior. For each of these problems the underlying mathematical model is discussed, the essential analytical properties are explained, and the proposed numerical method is rigorously analyzed. The practicality of the algorithms is illustrated by means of short implementations.