November 2017

Philippa Moore, Geoff Booth ... 224 pages - Publisher: Woodhead Publishing; 1st edition (November, 2014) ... Language: English ... ISBN-10: 1782423702 ... ISBN-13: 978-1782423706 ...

The Welding Engineer's Guide to Fracture and Fatigue provides an essential introduction to fracture and fatigue and the assessment of these failure modes, through to the level of knowledge that would be expected of a qualified welding engineer. Part one covers the basic principles of weld fracture and fatigue. It begins with a review of the design of engineered structures, provides descriptions of typical welding defects and how these defects behave in structures undergoing static and cyclical loading, and explains the range of failure modes. Part two then explains how to detect and assess defects using fitness for service assessment procedures. Throughout, the book assumes no prior knowledge and explains concepts from first principles. Covers the basic principles of weld fracture and fatigue. * Reviews the design of engineered structures, provides descriptions of typical welding defects and how these defects behave in structures undergoing static and cyclical loading, and explains the range of failure modes. * Explains how to detect and assess defects using fitness for service assessment procedures.

David Fanella ... 976 pages - Publisher: McGraw-Hill; 2nd edition (September, 2015) ... Language: English - ISBN-10: 0071847847 - ISBN-13: 978-0071847841 ...

A fully revised guide to the design and analysis of reinforced concrete structures according to the 2014 edition of ACI 318 This practical resource offers concise explanations of reinforced concrete design principles and teaches safe and cost-effective engineering and construction techniques. Reinforced Concrete Structures: Analysis and Design, Second Edition, has been thoroughly updated to reflect the latest requirements in both the 2014 ACI 318 structural concrete code and the 2015 International Building Code (R). Examples, procedures, and flowcharts illustrate compliance with each provision. This comprehensive guide features new in-depth coverage of ACI earthquake design requirements. SI units are now included throughout all of the chapters. Reinforced Concrete Structures: Analysis and Design, Second Edition, covers:Material properties of concrete and reinforcing steelConsiderations for analysis and designRequirements for strength and serviceabilityPrinciples of the strength design methodBeams, one-way slabs, and two-way slabsColumns, walls, and foundationsDesign and detailing for earthquake effects.

Stat-Ease Design-Expert v10.0.7.0 for x64 [Size: 38 MB] ... Stat-Ease, Inc. welcomes you to version 10 of Design-Expert software (DX10) for design of experiments (DOE). Use this Windows®-based program to optimize your product or process. It provides many powerful statistical tools, such as: Two-level factorial screening designs: Identify the vital factors that affect your process or product so you can make breakthrough improvements. + General factorial studies: Discover the best combination of categorical factors, such as source versus type of raw material supply. + Response surface methods (RSM): Find the optimal process settings to achieve peak performance. + Mixture design techniques: Discover the ideal recipe for your product formulation. + Combinations of process factors, mixture components, and categorical factors: Mix your cake (with different ingredients) and bake it too! Your Design-Expert program offers rotatable 3D plots to easily view response surfaces from all angles. Use your mouse to set flags and explore the contours on interactive 2D graphs. Our numerical optimization function finds maximum desirability for dozens of responses simultaneously! You'll find a wealth of statistical details within the program itself via various Help screens. Take advantage of this information gold mine that is literally at your fingertips. Also, do not overlook the helpful annotations provided on all reports. For a helpful collection of checklists and "cheat sheets," see the Handbook for Experimenters. It's free to all registered users. Furthermore, for quick primers on the principles of design and analysis, we recommend you read the following two soft-cover books from Stat-Ease Principals Mark Anderson and Pat Whitcomb,  published by Productivity Press of New York city: DOE Simplified: Practical Tools for Effective Experimentation,3rd Edition + RSM Simplified: Optimizing Processes Using Response Surface Methods for Design of Experiments.

Louis Komzsik ... 350 pages - Publisher: CRC Press; 2nd edition (April, 2009) ... Language: English - ISBN-10: 1439802947 - ISBN-13: 978-1439802946 ...

Finite element analysis (FEA) has become the dominant tool of analysis in many industrial fields of engineering, particularly in mechanical and aerospace engineering. This process requires significant computational work divided into several distinct phases. What Every Engineer Should Know About Computational Techniques of Finite Element Analysis offers a concise, self-contained treatment of FEA and all of the tools needed for efficient use and practical implementation. This book provides you with a walk-through of the process from the physical model to the computed solution. Based on the author's thirty years of practical experience in finite element analysis in the shipbuilding, aerospace, and automobile industries, it describes the transformation of the physical problem into a mathematical model, reduction of the model to a more efficient, numerically solvable form, and the solution of the problem using specific computational techniques. The author discusses time and frequency domain solutions as used in practice, as well as the representation of the computed results. What Every Engineer Should Know About Computational Techniques of Finite Element Analysis serves as a to-the-point guide to using or implementing FEA for both beginners and everyday users who must apply the finite element method to your daily work. The techniques can be easily executed in most available FEA software packages.

Wai-Fah Chen ... 474 pages - Publisher: J. Ross Publishing; (January, 2007) ... Language: English - ISBN-10: 1932159746 - ISBN-13: 978-1932159745 ...

This indispensable reference presents a unified treatment of mathematical models of concrete structural analysis. In Part I, the author considers the experimental data regarding stress and strain characteristics of concrete under biaxial and multiaxial stress states and presents empirical equations for modulus and fracture strength. Part II discusses concrete elasticity, generalized failure, and fracture criteria, while the final part addresses concrete plasticity with applications of limit analysis and finite element analysis to concrete and reinforced structures. Key Features: Offers a comprehensive review of the advantages and limitations of constitutive equations and failure criteria with suggestions for improvements and refinements - Provides test results of the mechanical properties of concrete and summaries of the generally accepted experimental results in the field - Includes worked examples, chapter summaries, a glossary, chapter references, and a bibliography of finite element applications...

Braja M. Das,‎ Nagaratnam Sivakugan ... ? pages - Publisher: CL Engineering; 9th edition (January, 2018) ... Language: English - ISBN-10: 1337705020 - ISBN-13: 978-1337705028 ...

A must-have resource for all foundation engineering courses, PRINCIPLES OF FOUNDATION ENGINEERING, 9th Edition provides a careful balance between current research and practical field applications as it introduces civil engineering students to the core concepts and applications of foundation analysis design. Throughout this best-selling book, Dr. Das and Dr. Sivakugan emphasize how to develop the critical judgment civil engineers need to properly apply theories and analysis to the evaluation of soils and foundation design. This new edition includes three new chapters that highlight developing topics. This edition also provides a wealth of worked-out examples and multiple new figures that emphasize the skills most critical for students to master as successful civil engineers.

Marc Pansu,‎ Jacques Gautheyrou ... 993 pages - Publisher: Springer; (June, 2006) ... Language: English - ISBN-10: 3540312102 - ISBN-13: 978-3540312109.

This handbook is a reference guide for selecting and carrying out numerous methods of soil analysis. It is written in accordance with analytical standards and quality control approaches. It covers a large body of technical information including protocols, tables, formulae, spectrum models, chromatograms and additional analytical diagrams. The approaches are diverse, from the simplest tests to the most sophisticated determination methods.

Xin-She Yang ... 330 pages - Publisher: Springer; 1st edition (October, 2017) ... Language: English - ISBN-10: 3319676687 - ISBN-13: 978-3319676685 ...

This book reviews the state-of-the-art developments in nature-inspired algorithms and their applications in various disciplines, ranging from feature selection and engineering design optimization to scheduling and vehicle routing. It introduces each algorithm and its implementation with case studies as well as extensive literature reviews, and also includes self-contained chapters featuring theoretical analyses, such as convergence analysis and no-free-lunch theorems so as to provide insights into the current nature-inspired optimization algorithms. Topics include ant colony optimization, the bat algorithm, B-spline curve fitting, cuckoo search, feature selection, economic load dispatch, the firefly algorithm, the flower pollination algorithm, knapsack problem, octonian and quaternion representations, particle swarm optimization, scheduling, wireless networks, vehicle routing with time windows, and maximally different alternatives. This timely book serves as a practical guide and reference resource for students, researchers and professionals.

Syouji Nakamura, Toshio Nakagawa ... 316 pages - Publisher: World Scientific Publishing Company (November, 2009) ... Language: English - ISBN-10: 9814277436 - ISBN-13: 978-9814277433 ...

Reliability theory and applications become major concerns of engineers and managers engaged in making high quality products and designing highly reliable systems. This book aims to survey new research topics in reliability theory and useful applied techniques in reliability engineering. Our research group in Nagoya, Japan has continued to study reliability theory and applications for more than twenty years, and has presented and published many good papers at international conferences and in journals. This book focuses mainly on how to apply the results of reliability theory to practical models. Theoretical results of coherent, inspection, and damage systems are summarized methodically, using the techniques of stochastic processes. There exist optimization problems in computer and management sciences and engineering. It is shown that such problems as computer, information and network systems are solved by using the techniques of reliability. Furthermore, some useful techniques applied to the analysis of stochastic models in management science and plants are shown. The reader will learn new topics and techniques, and how to apply reliability models to actual ones. The book will serve as an essential guide to a subject of study for graduate students and researchers and as a useful guide for reliability engineers engaged not only in maintenance work but also in management and computer works.

Wes McKinney ... 544 pages - Publisher: O'Reilly Media; 2nd edition (October, 2017) ... Language: English - ISBN-10: 1491957662 - ISBN-13: 978-1491957660 ... 

Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. Use the IPython shell and Jupyter notebook for exploratory computing * Learn basic and advanced features in NumPy (Numerical Python) * Get started with data analysis tools in the pandas library * Use flexible tools to load, clean, transform, merge, and reshape data * Create informative visualizations with matplotlib * Apply the pandas groupby facility to slice, dice, and summarize datasets * Analyze and manipulate regular and irregular time series data * Learn how to solve real-world data analysis problems with thorough, detailed examples.

A. J. M. Ferreira ... 235 pages - Publisher: Springer; (December, 2008) ... Language: English - ISBN-10: 1402091990 - ISBN-13: 978-1402091995 ...

This book illustrates how MATLAB compact and powerful programming framework can be very useful in the finite element analysis of solids and structures. The book shortly introduces finite element concepts and an extensive list of MATLAB codes for readers to use and modify. The book areas range from very simple springs and bars to more complex beams and plates in static bending, free vibrations and buckling problems. This book intend to supply readers with some MATLAB codes for finite element analysis of solids and structures. After a short introduction to MATLAB, the book illustrates the finite element implementation of some problems by simple scripts and functions. The following problems are discussed: • Discrete systems, such as springs and bars • Beams and frames in bending in 2D and 3D • Plane stress problems • Plates in bending • Free vibration of Timoshenko beams and Mindlin plates, including laminated composites • Buckling of Timoshenko beams and Mindlin plates The book does not intends to give a deep insight into the finite element details, just the basic equations so that the user can modify the codes. The book was prepared for undergraduate science and engineering students, although it may be useful for graduate students.

Alan Agresti ... 400 pages - Publisher: Wiley-Interscience; 2nd edition (March, 2007) ... Language: English - ISBN-10: 0471226181 - ISBN-13: 978-0471226185 ...

The use of statistical methods for categorical data is ever increasing in today's world. An Introduction to Categorical Data Analysis, Second Edition provides an applied introduction to the most important methods for analyzing categorical data. This new edition summarizes methods that have long played a prominent role in data analysis, such as chi-squared tests, and also places special emphasis on logistic regression and other modeling techniques for univariate and correlated multivariate categorical responses. This Second Edition features: Two new chapters on the methods for clustered data, with an emphasis on generalized estimating equations (GEE) and random effects models * A unified perspective based on generalized linear models * An emphasis on logistic regression modeling * An appendix that demonstrates the use of SAS(r) for all methods * An entertaining historical perspective on the development of the methods * Specialized methods for ordinal data, small samples, multicategory data, and matched pairs * More than 100 analyses of real data sets and nearly 300 exercises. Written in an applied, nontechnical style, the book illustrates methods using a wide variety of real data, including medical clinical trials, drug use by teenagers, basketball shooting, horseshoe crab mating, environmental opinions, correlates of happiness, and much more. An Introduction to Categorical Data Analysis, Second Edition is an invaluable tool for social, behavioral, and biomedical scientists, as well as researchers in public health, marketing, education, biological and agricultural sciences, and industrial quality control.

Hector Guerrero ... 338 pages - Publisher: Springer; (March, 2010) ... Language: English - ISBN-10: 3642108342 - ISBN-13: 978-3642108341 ...

Why does the World Need―Excel Data Analysis, Modeling, and Simulation? When spreadsheets ?rst became widely available in the early 1980s, it spawned a revolution in teaching. What previously could only be done with arcane software and large scale computing was now available to the common-man, on a desktop. Also, before spreadsheets, most substantial analytical work was done outside the classroom where the tools were; spreadsheets and personal computers moved the work into the classroom. Not only did it change how the analysis curriculum was taught, but it also empowered students to venture out on their own to explore new ways to use the tools. I can’t tell you how many phone calls, of?ce visits, and/or emails I have received in my teaching career from ecstatic students crowing about what they have just done with a spreadsheet model. I have been teaching courses related to spreadsheet based analysis and modeling for about 25 years and I have watched and participated in the spreadsheet revolution.

R. Lyman Ott, Micheal T. Longnecker ... 1297 pages - Publisher: Brooks Cole; 6th edition (December, 2008) ... Language: English - ISBN-10: 0495017582 - ISBN-13: 978-0495017585 ...

Ott and Longnecker's AN INTRODUCTION TO STATISTICAL METHODS AND DATA ANALYSIS, Sixth Edition, provides a broad overview of statistical methods for advanced undergraduate and graduate students from a variety of disciplines who have little or no prior course work in statistics. The authors teach students to solve problems encountered in research projects, to make decisions based on data in general settings both within and beyond the university setting, and to become critical readers of statistical analyses in research papers and in news reports. The first eleven chapters present material typically covered in an introductory statistics course, as well as case studies and examples that are often encountered in undergraduate capstone courses. The remaining chapters cover regression modeling and design of experiments.

Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani ... 426 pages - Publisher: Springer; (September, 2017) ... Language: English - ISBN-10: 1461471370 - ISBN-13: 978-1461471370.

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

Brian Steele, John Chandler, Swarna Reddy ... 430 pages - Publisher: Springer; 1st edition (January, 2017) ... Language: English - ISBN-10: 3319457950 - ISBN-13: 978-3319457956 ...

This textbook on practical data analytics unites fundamental principles, algorithms, and data. Algorithms are the keystone of data analytics and the focal point of this textbook. Clear and intuitive explanations of the mathematical and statistical foundations make the algorithms transparent. But practical data analytics requires more than just the foundations. Problems and data are enormously variable and only the most elementary of algorithms can be used without modification. Programming fluency and experience with real and challenging data is indispensable and so the reader is immersed in Python and R and real data analysis. By the end of the book, the reader will have gained the ability to adapt algorithms to new problems and carry out innovative analyses. This book has three parts: (a) Data Reduction: Begins with the concepts of data reduction, data maps, and information extraction. The second chapter introduces associative statistics, the mathematical foundation of scalable algorithms and distributed computing. Practical aspects of distributed computing is the subject of the Hadoop and MapReduce chapter. (b) Extracting Information from Data: Linear regression and data visualization are the principal topics of Part II. The authors dedicate a chapter to the critical domain of Healthcare Analytics for an extended example of practical data analytics. The algorithms and analytics will be of much interest to practitioners interested in utilizing the large and unwieldly data sets of the Centers for Disease Control and Prevention's Behavioral Risk Factor Surveillance System. (c) Predictive Analytics Two foundational and widely used algorithms, k-nearest neighbors and naive Bayes, are developed in detail. A chapter is dedicated to forecasting. The last chapter focuses on streaming data and uses publicly accessible data streams originating from the Twitter API and the NASDAQ stock market in the tutorials. This book is intended for a one- or two-semester course in data analytics for upper-division undergraduate and graduate students in mathematics, statistics, and computer science. The prerequisites are kept low, and students with one or two courses in probability or statistics, an exposure to vectors and matrices, and a programming course will have no difficulty. The core material of every chapter is accessible to all with these prerequisites. The chapters often expand at the close with innovations of interest to practitioners of data science. Each chapter includes exercises of varying levels of difficulty. The text is eminently suitable for self-study and an exceptional resource for practitioners.

Mohssen Mohammed,‎ Muhammad Badruddin Khan,‎ Eihab Bashier Mohammed Bashier ... 226 pages - Publisher: CRC Press; 1st edition (July, 2016) ... Language: English - ISBN-10: 1498705383 - ISBN-13: 978-1498705387 ...

Machine learning, one of the top emerging sciences, has an extremely broad range of applications. However, many books on the subject provide only a theoretical approach, making it difficult for a newcomer to grasp the subject material. This book provides a more practical approach by explaining the concepts of machine learning algorithms and describing the areas of application for each algorithm, using simple practical examples to demonstrate each algorithm and showing how different issues related to these algorithms are applied.

Ronald L. Graham,‎ Donald E. Knuth,‎ Oren Patashnik ... 672 pages - Publisher: Addison-Wesley Professional; 2nd edition (March, 1994) ... Language: English - ISBN-10: 0201558025 - ISBN-13: 978-0201558029.

This book introduces the mathematics that supports advanced computer programming and the analysis of algorithms. The primary aim of its well-known authors is to provide a solid and relevant base of mathematical skills - the skills needed to solve complex problems, to evaluate horrendous sums, and to discover subtle patterns in data. It is an indispensable text and reference not only for computer scientists - the authors themselves rely heavily on it! - but for serious users of mathematics in virtually every discipline. Concrete Mathematics is a blending of CONtinuous and disCRETE mathematics. "More concretely," the authors explain, "it is the controlled manipulation of mathematical formulas, using a collection of techniques for solving problems." The subject matter is primarily an expansion of the Mathematical Preliminaries section in Knuth's classic Art of Computer Programming, but the style of presentation is more leisurely, and individual topics are covered more deeply. Several new topics have been added, and the most significant ideas have been traced to their historical roots. The book includes more than 500 exercises, divided into six categories. Complete answers are provided for all exercises, except research problems, making the book particularly valuable for self-study. Major topics include: Sums * Recurrences * Integer functions * Elementary number theory * Binomial coefficients * Generating functions * Discrete probability * Asymptotic methods. This second edition includes important new material about mechanical summation. In response to the widespread use of the first edition as a reference book, the bibliography and index have also been expanded, and additional nontrivial improvements can be found on almost every page. Readers will appreciate the informal style of Concrete Mathematics. Particularly enjoyable are the marginal graffiti contributed by students who have taken courses based on this material. The authors want to convey not only the importance of the techniques presented, but some of the fun in learning and using them.

IBM SPSS Statistics v25 [Size: 722 MB] ... IBM SPSS Statistics Subscription delivers the power of SPSS Statistics predictive analytics capabilities with a flexible subscription payment option, including an easier purchasing, management and licensing experience. With the introduction of SPSS Statistics Subscription, organizations, groups and individuals can take advantage of predictive analytics capabilities to deliver the maximum amount of value to the user. Propel research & analysis with a fast and powerful solution: A comprehensive set of statistical tools - Work inside a single, integrated interface to run descriptive statistics, regression, advanced statistics and many more. Create publication ready charts, tables, and decision trees in one tool. - Integration with Open Source - Enhance the SPSS Syntax with R and Python through specialized extensions. Leverage the 130+ extensions available on our Extension Hub, or build your own and share with your peers to create a customized solution. - Easy statistical analysis - Use a simple drag and drop interface to access a wide range of capabilities and work across multiple data sources. Plus, flexible deployment options make purchasing and managing your software easy. Subscription Base: Data Preparation - IBM SPSS Data Preparation is a fully integrated module of IBM SPSS Statistics. - Bootstrapping - Bootstrapping is a useful technique for testing model stability. Custom Tables and Advanced Statistics Add-On: Advanced Statistics - Improve the accuracy of your analysis and the dependability of your conclusions with statistics designed for complex relationships. - Regression - IBM SPSS Regression enables you to predict categorical outcomes and apply various nonlinear regression procedures. - Custom Tables: IBM SPSS Custom Tables enables you to summarize SPSS Statistics data, and display your analyses as presentation-quality, production-ready tables.

GeoStru Liquiter 2018.18.4.448 [Size: 47 MB] ... Liquiter software is designed for soil liquefaction analysis and supports a wide variety of field tests. The results of the analysis are presented as: Safety Factor Soil Liquefaction / Probability of Soil Liquefaction; Cyclic mobility of clay; Liquefaction of sand and clay; CSR, variable CSR with depth from SHAKE results; Reconsolidation Settlement, Lateral Spreading; Residual Strength.

Bradley P. Carlin, Thomas A. Louis ... 552 pages - Publisher: Chapman and Hall/CRC; 3rd edition (June, 2008) ... Language: English - ISBN-10: 1584886978 - ISBN-13: 978-1584886976 ...

Broadening its scope to nonstatisticians, Bayesian Methods for Data Analysis, Third Edition provides an accessible introduction to the foundations and applications of Bayesian analysis. Along with a complete reorganization of the material, this edition concentrates more on hierarchical Bayesian modeling as implemented via Markov chain Monte Carlo (MCMC) methods and related data analytic techniques. New to the Third Edition: New data examples, corresponding R and WinBUGS code, and homework problems - Explicit descriptions and illustrations of hierarchical modeling―now commonplace in Bayesian data analysis - A new chapter on Bayesian design that emphasizes Bayesian clinical trials - A completely revised and expanded section on ranking and histogram estimation - A new case study on infectious disease modeling and the 1918 flu epidemic - A solutions manual for qualifying instructors that contains solutions, computer code, and associated output for every homework problem―available both electronically and in print. Ideal for Anyone Performing Statistical Analyses: Focusing on applications from biostatistics, epidemiology, and medicine, this text builds on the popularity of its predecessors by making it suitable for even more practitioners and students.

Petia Koprinkova-Hristova, Valeri Mladenov, Nikola K. Kasabov ... 488 pages - Publisher: Springer; (September, 2014) ... Language: English - ISBN-10: 3319099027 - ISBN-13: 978-3319099026 ...

The book reports on the latest theories on artificial neural networks, with a special emphasis on bio-neuroinformatics methods. It includes twenty-three papers selected from among the best contributions on bio-neuroinformatics-related issues, which were presented at the International Conference on Artificial Neural Networks, held in Sofia, Bulgaria, on September 10-13, 2013 (ICANN 2013). The book covers a broad range of topics concerning the theory and applications of artificial neural networks, including recurrent neural networks, super-Turing computation and reservoir computing, double-layer vector perceptrons, nonnegative matrix factorization, bio-inspired models of cell communities, Gestalt laws, embodied theory of language understanding, saccadic gaze shifts and memory formation, and new training algorithms for Deep Boltzmann Machines, as well as dynamic neural networks and kernel machines. It also reports on new approaches to reinforcement learning, optimal control of discrete time-delay systems, new algorithms for prototype selection, and group structure discovering. Moreover, the book discusses one-class support vector machines for pattern recognition, handwritten digit recognition, time series forecasting and classification, and anomaly identification in data analytics and automated data analysis. By presenting the state-of-the-art and discussing the current challenges in the fields of artificial neural networks, bioinformatics and neuroinformatics, the book is intended to promote the implementation of new methods and improvement of existing ones, and to support advanced students, researchers and professionals in their daily efforts to identify, understand and solve a number of open questions in these fields.

Arvid R. Eide, Roland Jenison ... 992 pages - Publisher: McGraw-Hill Education; 6th edition (January, 2011) ... Language: English - ISBN-10: 0073534919 - ISBN-13: 978-0073534916 ...

Engineering Fundamentals & Problem Solving is written to motivate engineering students during their first year. A complete introduction to the engineering field, this text will help students develop the skills to solving open-ended problems in SI and customary units while presenting solutions in a logical manner. Eide introduces students to subject areas that are common to engineering disciplines that require the application of fundamental engineering concepts. Engineering Fundamentals & Problem Solving remains the most comprehensive text for an introductory engineering course. The book provides students a realistic opportunity to learn to apply engineering principles to the solution of engineering problems, and the author's approach keeps students on task toward an engineering career by showing how the materials applies to the student's school, life, and career.

Arnold Verruijt ... 420 pages - Publisher: Springer; 1st edition (July, 2017) ... Language: English - ISBN-10: 3319611844 - ISBN-13: 978-3319611846 ...

This textbook offers a superb introduction to theoretical and practical soil mechanics. Special attention is given to the risks of failure in civil engineering, and themes covered include stresses in soils, groundwater flow, consolidation, testing of soils, and stability of slopes. Readers will learn the major principles and methods of soil mechanics, and the most important methods of determining soil parameters both in the laboratory and in situ. The basic principles of applied mechanics, that are frequently used, are offered in the appendices. The author’s considerable experience of teaching soil mechanics is evident in the many features of the book: it is packed with supportive color illustrations, helpful examples and references. Exercises with answers enable students to self-test their understanding and encourage them to explore further through additional online material. Numerous simple computer programs are provided online as Electronic Supplementary Material. As a soil mechanics textbook, this volume is ideally suited to supporting undergraduate civil engineering students.

Michael O'Rourke ... 175 pages - Publisher: American Society of Civil Engineers; (August, 2017) ... Language: English - ISBN-10: 0784414564 - ISBN-13: 978-0784414569 ...

Snow Loads provides a detailed, authoritative description of the snow load provisions of Standard ASCE/SEI 7-16. With clear, concise language, Michael O'Rourke explains the theory and research that underpin the provisions and shows how to apply them to the design of new and existing structures that could collect falling or drifting snow. Design examples of flat roof loads, sloped roof loads, partial loads, and all types of conventional drift loading are included.

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