Stand Out from the Crowd

The book is intended as a teaching tool for undergraduate students, wishing to acquire a first command of fluid mechanics, as well as graduates in advanced courses and engineers in other fields, concerned with completing what is sometimes a scattered body of knowledge.

Applications of Artificial Intelligence in Mining, Geotechnical and Geoengineering provides recent advances in mining, geotechnical and geoengineering, as well as applications of artificial intelligence in these areas. It serves as the first book on applications of artificial intelligence in mining, geotechnical and geoengineering, providing an opportunity for researchers, scholars, engineers, practitioners and data scientists from all over the world to understand current developments and applications. Topics covered include slopes, open-pit mines, quarries, shafts, tunnels, caverns, underground mines, metro systems, dams and hydro-electric stations, geothermal energy, petroleum engineering, and radioactive waste disposal.

In the geotechnical and geo-engineering aspects, topics of specific interest include, but are not limited to, foundation, dam, tunneling, geohazard, geoenvironmental and petroleum engineering, rock mechanics, geotechnical engineering, soil mechanics and foundation engineering, civil engineering, hydraulic engineering, petroleum engineering, engineering geology, etc. + Guides readers through the process of gathering, processing, and analyzing datasets specifically tailored for mining, geotechnical, and engineering challenges. + Examines the evolution and practical implementation of artificial intelligence models in predicting, forecasting, and optimizing solutions for mining, geotechnical, and engineering problems. + Offers cutting-edge methodologies to address the most demanding and complex issues encountered in the fields of mining, geotechnical studies, and engineering.

While there are many textbooks on the market that cover geotechnical engineering basics, Geotechnical Engineering is unique in that it is the only textbook available that is rooted within the three phase unsaturated soil mechanics framework. Written by world-renowned, award-winning geotechnical engineering expert Dr. Jean-Louis Briaud, this Second Edition offers the most comprehensive coverage of geotechnical engineering topics on the market, from theory to real-world application.

In addition to many updates and revisions, a major chapter has been added, covering 22 geo-engineering case histories. They are: Washington Monument (shallow mat foundation) + Rissa Landslide (slope stability) + Seattle 46 M-High MSE Wall (retaining wall) + The New Orleans Charity Hospital Foundation (deep foundation) + The Eurotunnel Linking France and England (tunnel) + The Teton Dam (earth dam erosion) + The Woodrow Wilson Bridge (bridge scour) + San Jacinto Monument (shallow mat foundation) + Pointe du Hoc Cliffs (rock erosion) + The Tower of PISA (shallow foundation) + The Transcona Silo (shallow foundation) + The Saint John River Bridge Abutment (slope stability) + Foundation of Briaud’s House (shrink swell soils) + The Eiffel Tower (deep foundation) + St. Isaac Cathedral (mat foundation) + National Geotechnical Experimentation Sites at Texas A&M University (full scale infrastructure tests) + The 827 M-High Burj Khalifa Tower Foundation (combined pile raft foundation) + New Orleans Levees and Katrina Hurricane (overtopping erosion) + Three Gorges Dam (concrete dam) + The Kansai International Airport (earth fill in the sea) + The Panama Canal (excavated slopes) + The Nice Airport Slope Failure (slope stability).

The book is designed to cover all major aspects of applied numerical methods, including numerical computations, solution of algebraic and transcendental equations, finite differences and interpolation, curve fitting, correlation and regression, numerical differentiation and integration, matrices and linear system of equations, numerical solution of ordinary differential equations, and numerical solution of partial differential equations. MATLAB is incorporated throughout the text and most of the problems are executed in MATLAB code. It uses a numerical problem-solving orientation with numerous examples, figures, and end of chapter exercises. Presentations are limited to very basic topics to serve as an introduction to more advanced topics.

Features: Integrates MATLAB throughout the text + Includes over 600 fully-solved problems with step-by-step solutions + Limits presentations to basic concepts of solving numerical methods.

Table of Contents: 1: Numerical Computations. 2: Linear System of Equations. 3: Solution of Algebraic and Transcendental Equations. 4: Numerical Differentiation. 5: Finite Differences and Interpolation. 6: Curve Fitting, Regression, and Correlation. 7: Numerical Integration. 8: Numerical Solution of Ordinary Differential Equations. 9: Direct Numerical Integration Methods. 10: MATLAB Basics. 11: Optimization. 12: Partial Differential Equations. Appendices: A. Answers to Selected Problems. B. Bibliography. C. Partial Fraction Expansions. D. Basic Engineering Mathematics. E. Cramer’s Rule. F. MATLAB Built-In Functions. G. MATLAB M-File Functions. Index.

The addition of Case Studies based on real-world engineering problems provides students with an immediate application of the theory. A wealth of problems, Beer and Johnston's hallmark sample problems, and valuable review and summary sections at the end of each chapter, highlight the key pedagogy of the text.

In this book, different methods of slope stability analysis will be discussed in a broad sense. Following that, the limit equilibrium and finite element methods will be discussed in more details, as these two methods are the methods commonly used for practical works. Detailed procedures for limit equilibrium analysis will be provided to aid the students in learning, while the program SLOPE2000 will be introduced for the solution of more complicated problems. Some interesting engineering cases will be illustrated in this book. The author will also try to introduce the use of distinct element slope stability method, which is a technique still far from practical applications, but it does offer some insights which are not possible with the other methods

Developed to comply with the fifth edition of the AASHTO LFRD Bridge Design Specifications [2010]––Simplified LRFD Bridge Design is "How To" use the Specifications book. Most engineering books utilize traditional deductive practices, beginning with in-depth theories and progressing to the application of theories. The inductive method in the book uses alternative approaches, literally teaching backwards. The book introduces topics by presenting specific design examples. Theories can be understood by students because they appear in the text only after specific design examples are presented, establishing the need to know theories. The emphasis of the book is on step-by-step design procedures of highway bridges by the LRFD method, and "How to Use" the AASHTO Specifications to solve design problems. Some of the design examples and practice problems covered include: Load combinations and load factors * Strength limit states for superstructure design * Design Live Load HL- 93 * Un-factored and Factored Design Loads * Fatigue Limit State and fatigue life; Service Limit State * Number of design lanes * Multiple presence factor of live load * Dynamic load allowance * Distribution of Live Loads per Lane * Wind Loads, Earthquake Loads * Plastic moment capacity of composite steel-concrete beam * LRFR Load Rating. Simplified LRFD Bridge Design is a study guide for engineers preparing for the PE examination as well as a classroom text for civil engineering students and a reference for practicing engineers. Eight design examples and three practice problems describe and introduce the use of articles, tables, and figures from the AASHTO LFRD Bridge Design Specifications. Whenever articles, tables, and figures in examples appear throughout the text, AASHTO LRFD specification numbers are also cited, so that users can cross-reference the material.

A new era of complexity science is emerging, in which nature- and bio-inspired principles are being applied to provide solutions. At the same time, the complexity of systems is increasing due to such models like the Internet of Things (IoT) and fog computing. Will complexity science, applying the principles of nature, be able to tackle the challenges posed by highly complex networked systems?

Bio-Inspired Optimization in Fog and Edge Computing: Principles, Algorithms, and Systems is an attempt to answer this question. It presents innovative, bio-inspired solutions for fog and edge computing and highlights the role of machine learning and informatics. Nature- or biological-inspired techniques are successful tools to understand and analyze a collective behavior. As this book demonstrates, algorithms, and mechanisms of self-organization of complex natural systems have been used to solve optimization problems, particularly in complex systems that are adaptive, ever-evolving, and distributed in nature.

The chapters look at ways of enhancingto enhance the performance of fog networks in real-world applications using nature-based optimization techniques. They discuss challenges and provide solutions to the concerns of security, privacy, and power consumption in cloud data center nodes and fog computing networks. The book also examines how: The existing fog and edge architecture is used to provide solutions to future challenges. + A geographical information system (GIS) can be used with fog computing to help users in an urban region access prime healthcare. + An optimization framework helps in cloud resource management. + Fog computing can improve the quality, quantity, long-term viability, and cost-effectiveness in agricultural production. + Virtualization can support fog computing, increase resources to be allocated, and be applied to different network layers. + The combination of fog computing and IoT or cloud computing can help healthcare workers predict and analyze diseases in patients.