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Finite Element Analysis in Geotechnical Engineering

Finite Element Analysis in Geotechnical Engineering
Author: David M Potts
Publisher: Thomas Telford
Total Pages: 456
Release: 2001
Genre: Mathematics
ISBN: 9780727727831

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An insight into the use of the finite method in geotechnical engineering. The first volume covers the theory and the second volume covers the applications of the subject. The work examines popular constitutive models, numerical techniques and case studies.


Geotechnical Finite Element Analysis

Geotechnical Finite Element Analysis
Author: Andrew Lees
Publisher: ICE Publishing
Total Pages: 0
Release: 2016-10-11
Genre: Technology & Engineering
ISBN: 9780727760876

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This highly illustrated guide expands on the practical benefits of FEA, such as the analysis of complex problems, overall increased productivity and revenue, and explains the complex theory behind the decisions that need to be made at each stage of a project.


Finite Element Analysis in Geotechnical Engineering

Finite Element Analysis in Geotechnical Engineering
Author: David M Potts
Publisher: Thomas Telford
Total Pages: 468
Release: 1999-04-09
Genre: Mathematics
ISBN: 9780727727534

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An insight into the use of the finite method in geotechnical engineering. The first volume covers the theory and the second volume covers the applications of the subject. The work examines popular constitutive models, numerical techniques and case studies.


Matrix Discrete Element Analysis of Geological and Geotechnical Engineering

Matrix Discrete Element Analysis of Geological and Geotechnical Engineering
Author: Chun Liu
Publisher: Springer Nature
Total Pages: 306
Release: 2021-01-23
Genre: Science
ISBN: 9813345241

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This book introduces the basic structure, modeling methods, numerical calculation processes, post-processing, and system functions of MatDEM, which applies the basic principles and algorithm of the discrete element method. The discrete element method can effectively simulate the discontinuity, inhomogeneity, and large deformation damage of rock and soil. It is widely used in both research and industry. Based on the innovative matrix discrete element computing method, the author developed the high-performance discrete element software MatDEM from scratch, which can handle millions of elements in discrete element numerical simulations. This book also presents several examples of applications in geological and geotechnical engineering, including basic geotechnical engineering problems, discrete element tests, three dimensional landslides, and dynamic and multi-field coupling functions. Teaching videos and the relevant software can be accessed on the MATDEM website (http://matdem.com). The book serves as a useful reference for research and engineering staff, undergraduates, and postgraduates who work in the fields of geology, geotechnical, water conservancy, civil engineering, mining, and physics.


Modeling in Geotechnical Engineering

Modeling in Geotechnical Engineering
Author: Pijush Samui
Publisher: Academic Press
Total Pages: 518
Release: 2020-12-01
Genre: Technology & Engineering
ISBN: 0128218525

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Modeling in Geotechnical Engineering is a one stop reference for a range of computational models, the theory explaining how they work, and case studies describing how to apply them. Drawing on the expertise of contributors from a range of disciplines including geomechanics, optimization, and computational engineering, this book provides an interdisciplinary guide to this subject which is suitable for readers from a range of backgrounds. Before tackling the computational approaches, a theoretical understanding of the physical systems is provided that helps readers to fully grasp the significance of the numerical methods. The various models are presented in detail, and advice is provided on how to select the correct model for your application. Provides detailed descriptions of different computational modelling methods for geotechnical applications, including the finite element method, the finite difference method, and the boundary element method Gives readers the latest advice on the use of big data analytics and artificial intelligence in geotechnical engineering Includes case studies to help readers apply the methods described in their own work