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Charles W.W. Ng, Chao Zhou, Junjun Ni ... Language: ‎English - Publisher :CRC Press; 2nd edition (October, 2024).

Unsaturated soil is a three-phase material that is ubiquitous on the Earth’s surface and exhibits complex behaviour, which becomes more complex in response to the Earth’s changing climate and increasing engineering activities. This is because the former affects its moisture and temperature conditions significantly and the latter governs its stress state and suction condition. This book is designed to meet the increasing challenges of climate change and engineering activities by covering the mechanics and engineering of unsaturated soil in a logical manner.

It comprises four major parts: Water retention and flow characteristics + Shear strength and stiffness at various temperatures + State-dependent elasto-plastic constitutive modelling + Field monitoring and engineering applications.

This second edition uniquely covers fundamental topics on unsaturated soil that are not covered in other similar books, including: the state- dependency of soil- water retention behaviour and water permeability functions, such as dependence on engineering activities + small strain stiffness considering the influence of wetting- drying cycles and recent suction history, such as that due to climate change suction effects on dilatancy and peak shear strength cyclic thermal effects on soil behaviour + state- dependent elastoplastic constitutive modelling of monotonic and cyclic behaviour + engineering applications such as the South-to-North Water Transfer Project; an earthen landfill cover system devoid of geomembrane in the Xiaping landfill, Shenzhen; and a 15-m-deep multi- propped excavation in Tianjin, China.

Jianye Ching ... 188 pages - Language: ‎English - Publisher: CRC Press; (August, 2024).

Bayesian data analysis and modelling linked with machine learning offers a new tool for handling geotechnical data. This book presents recent advancements made by the author in the area of probabilistic geotechnical site characterization.

Two types of correlation play central roles in geotechnical site characterization: cross-correlation among soil properties and spatial-correlation in the underground space. The book starts with the introduction of Bayesian notion of probability “degree of belief”, showing that well-known probability axioms can be obtained by Boolean logic and the definition of plausibility function without the use of the notion “relative frequency”. It then reviews probability theories and useful probability models for cross-correlation and spatial correlation. Methods for Bayesian parameter estimation and prediction are also presented, and the use of these methods demonstrated with geotechnical site characterization examples.

Bayesian Machine Learning in Geotechnical Site Characterization suits consulting engineers and graduate students in the area.

Wengang Zhang, Yanmei Zhang, Runhong Zhang, Yongqin Li, Li Hong, Yuntao Yuan ... 770 pages - Language: English - Publisher: Elsevier (May, 2024).

Design of Deep Braced Excavation in Urban Geotechnical Environments presents the design and calculation of deep braced excavation in urban geotechnical environments considering the soil characteristics of spatial variability and anisotropy, as well as excavation responses of urban adjacent utilities such as pipelines, tunnels, foundation piles and buildings. With economic development and further urbanization, excavation goes deeper, longer, and larger in scale. These conditions require advanced analysis and design methods.

The text begins with coverage of overall stability, earth pressure and strut force, retaining wall responses, and ground movements. Numerical modeling and computer codes are outlined in detail. The authors then take a close look at the design of jet grouting for deformation control, instrumentation and back analysis for excavation, and the characteristics of deep braced excavation in complex geological environment. The final chapters conclude with an examination of the determination of excavation responses of urban adjacent utilities and failure analysis based on several case histories.

This book provides the latest knowledge in both theory and practical application for geotechnical design engineers working on deep excavation problems. Presents the latest theory and knowledge surrounding deep braced excavations + Systematically outlines theory, field reports, calculations, and back analysis, making it much easier to master the work relevant with deep braced excavations + Provides detailed visual elements and hyperlinks to additional images and video for case excavations to enhance understanding.

Brij B. Gupta, Mamta ... 369 pages - Language: ‎English - Publisher: ‎World Scientific Publishing Company; (December, 2023).


With the proliferation of information, big data management and analysis have become an indispensable part of any system to handle such amounts of data. The amount of data generated by the multitude of interconnected devices increases exponentially, making the storage and processing of these data a real challenge.

Big data management and analytics have gained momentum in almost every industry, ranging from finance or healthcare. Big data can reveal key insights if handled and analyzed properly; it has great application potential to improve the working of any industry. This book covers the spectrum aspects of big data; from the preliminary level to specific case studies. It will help readers gain knowledge of the big data landscape.

Highlights of the topics covered include description of the Big Data ecosystem; real-world instances of big data issues; how the Vs of Big Data (volume, velocity, variety, veracity, valence, and value) affect data collection, monitoring, storage, analysis, and reporting; structural process to get value out of Big Data and recognize the differences between a standard database management system and a big data management system.

Readers will gain insights into choice of data models, data extraction, data integration to solve large data problems, data modelling using machine learning techniques, Spark's scalable machine learning techniques, modeling a big data problem into a graph database and performing scalable analytical operations over the graph and different tools and techniques for processing big data and its applications including in healthcare and finance.

Jeffrey Paul Wheeler ... 474 pages - Language: English - Publisher: ‎Chapman and Hall/CRC; (December, 2023).


The primary goal of this text is a practical one. Equipping students with enough knowledge and creating an independent research platform, the author strives to prepare students for professional careers. Providing students with a marketable skill set requires topics from many areas of optimization. The initial goal of this text is to develop a marketable skill set for mathematics majors as well as for students of engineering, computer science, economics, statistics, and business. Optimization reaches into many different fields.

This text provides a balance where one is needed. Mathematics optimization books are often too heavy on theory without enough applications; texts aimed at business students are often strong on applications, but weak on math. The book represents an attempt at overcoming this imbalance for all students taking such a course.

The book contains many practical applications but also explains the mathematics behind the techniques, including stating definitions and proving theorems. Optimization techniques are at the heart of the first spam filters, are used in self-driving cars, play a great role in machine learning, and can be used in such places as determining a batting order in a Major League Baseball game. Additionally, optimization has seemingly limitless other applications in business and industry. In short, knowledge of this subject offers an individual both a very marketable skill set for a wealth of jobs as well as useful tools for research in many academic disciplines.

Many of the problems rely on using a computer. Microsoft’s Excel is most often used, as this is common in business, but Python and other languages are considered. The consideration of other programming languages permits experienced mathematics and engineering students to use MATLAB® or Mathematica, and the computer science students to write their own programs in Java or Python.

Tanvir Mustafy, T. Ur Rahman ... 281 pages - Language: ‎English - Publisher: ‎Springer; (January, 2024).


This textbook summarizes the different statistical, scientific, and financial data analysis methods for users ranging from a high school level to a professional level. It aims to combine the data analysis methods using three different programs—Microsoft Excel, SPSS, and MATLAB. The book combining the different data analysis tools is a unique approach. The book presents a variety of real-life problems in data analysis and machine learning, delivering the best solution. Analysis methods presented in this book include but are not limited to, performing various algebraic and trigonometric operations, regression modeling, and correlation, as well as plotting graphs and charts to represent the results. Fundamental concepts of applied statistics are also explained here, with illustrative examples. Thus, this book presents a pioneering solution to help a wide range of students, researchers, and professionals learn data processing, interpret different findings derived from the analyses,and apply them to their research or professional fields.

The book also includes worked examples of practical problems. The primary focus behind designing these examples is understanding the concepts of data analysis and how it can solve problems. The chapters include practice exercises to assist users in enhancing their skills to execute statistical analysis calculations using software instead of relying on tables for probabilities and percentiles in the present world.

Dothang Truong ... 577 pages - Language: ‎English - Publisher: Chapman and Hall/CRC; (February, 2024) - ISBN-10:‎ 0367755386 - ISBN-13:‎ 978-0367755386.

As data continues to grow exponentially, knowledge of data science and machine learning has become more crucial than ever. Machine learning has grown exponentially; however, the abundance of resources can be overwhelming, making it challenging for new learners. This book aims to address this disparity and cater to learners from various non-technical fields, enabling them to utilize machine learning effectively.

Adopting a hands-on approach, readers are guided through practical implementations using real datasets and SAS Enterprise Miner, a user-friendly data mining software that requires no programming. Throughout the chapters, two large datasets are used consistently, allowing readers to practice all stages of the data mining process within a cohesive project framework. This book also provides specific guidelines and examples on presenting data mining results and reports, enhancing effective communication with stakeholders.

Designed as a guiding companion for both beginners and experienced practitioners, this book targets a wide audience, including students, lecturers, researchers, and industry professionals from various backgrounds.

Dawn Griffiths - 589 pages - Language: English - Publisher: ‎O'Reilly Media; (June, 2024) - ISBN-10: ‎1098143329 - ISBN-13: ‎978-1098143329.

Filled with tips, tricks, and techniques, this easy-to-use book is the perfect resource. You'll find more than 350 recipes for over a dozen topics covering formulas, PivotTables, charts, Power Query, and more. Each recipe poses a particular problem and outlines a solution that you can put to use right away—without having to comb through tutorial pages.

Whether you're a data analyst, project manager, financial analyst, or regular Excel user, author Dawn Griffiths directs you straight to the answers you need. Ideal as a quick reference, Excel Cookbook is also perfect for learning how to work in a more efficient way, leading to greater productivity on the job. With this book, you'll jump in and get answers to your questions—fast.

Build compelling charts and use Sparklines, 3D Maps, and other visualizations + Use PivotTables to slice, dice, and summarize datasets + Perform statistical and financial analyses using formulas, Forecast Sheets, the Analysis ToolPak, and more + Master dynamic array functions such as SEQUENCE, TEXTSPLIT, and FILTER + Use Power Query to import, shape, and combine datasets + Create custom functions using LAMBDA formulas + Use developer options to write VBA code and create custom UserForms.

Felix Zumstein ... 335 pages - Language: ‎English - Publisher: ‎O'Reilly Media; (April, 2021) - ISBN-10: 1492081000 - ISBN-13: 978-1492081005.


While Excel remains ubiquitous in the business world, recent Microsoft feedback forums are full of requests to include Python as an Excel scripting language. In fact, it's the top feature requested. What makes this combination so compelling? In this hands-on guide, Felix Zumstein--creator of xlwings, a popular open source package for automating Excel with Python--shows experienced Excel users how to integrate these two worlds efficiently.

Excel has added quite a few new capabilities over the past couple of years, but its automation language, VBA, stopped evolving a long time ago. Many Excel power users have already adopted Python for daily automation tasks. This guide gets you started

Use Python without extensive programming knowledge + Get started with modern tools, including Jupyter notebooks and Visual Studio code + Use pandas to acquire, clean, and analyze data and replace typical Excel calculations + Automate tedious tasks like consolidation of Excel workbooks and production of Excel reports + Use xlwings to build interactive Excel tools that use Python as a calculation engine + Connect Excel to databases and CSV files and fetch data from the internet using Python code + Use Python as a single tool to replace VBA, Power Query, and Power Pivot.

David Mertz ... 288 pages - Language: English - Publisher: ‎Addison-Wesley Professional; (November, 2023).

Python is one of the most widely used programming languages in the world. It is used everywhere from primary school education to workaday web development, to the most advanced scientific research institutes of the world. However, like all programming languages, Python has a collection of "Pythonic" ways of accomplishing tasks that are easy to overlook, especially when habits are borrowed wholesale from work in other programming languages. Better Python Code is a guide to Pythonic programming. The book presents common mistakes that Python developers make--even Python developers who have used the language for years--often because Python sometimes presents "attractive nuisances." Throughout, the book is a guide to better programming in the core Python language.

Each section shows a concrete but concise example of some misunderstanding or bad habit in action. Each section contains a description of what is wrong with the sample code and a suggestion for one or more better ways to code equivalent functionality without the initial pitfall. Every pitfall addressed in this book reflects foibles, errors, and misunderstandings that the author as seen in concrete, widely used code bases written by experienced developers, over his 25 years of writing Python. The sections of this book each present some mistake, pitfall, or foible that developers can easily fall into, and are accompanied by descriptions of ways to avoid making them. At times those solutions simply involve a minor change in “spelling,” but in most cases they require a nuance of thought and design in your code. Many of the discussions do something else as well…

William S. Janna ... 754 pages - Language: ‎English - Publisher: CRC Press; 6th edition (March, 2020).


Introduction to Fluid Mechanics, Sixth Edition, is intended to be used in a first course in Fluid Mechanics, taken by a range of engineering majors. The text begins with dimensions, units, and fluid properties, and continues with derivations of key equations used in the control-volume approach. Step-by-step examples focus on everyday situations, and applications. These include flow with friction through pipes and tubes, flow past various two and three dimensional objects, open channel flow, compressible flow, turbomachinery and experimental methods. Design projects give readers a sense of what they will encounter in industry. A solutions manual and figure slides are available for instructors.

Mark G. Richardson ... 702 pages - Language: English - Publisher: ‎CRC Press; 2nd edition (November, 2023).


This new edition sets out the fundamental aspects of concrete durability with an emphasis on sustainability and carbon neutrality through performance-based methodologies. Global approaches to managing durability are explained from both a prescriptive and performance viewpoint. Achieving a balance between the interactive factors influencing durability and sustainability is supported by an explanation of the physical and chemical phenomena at play, determination of key performance parameters by mathematical modelling and physical testing, and current guidance for good practice. New chapters and sections examine the holistic approach to durability and significant aspects of traditional and new cementitious systems. The full range of threats to durability are covered in this single volume, including reinforcement corrosion, carbonation, chloride ingress, freeze-thaw effects, sulfate attack, acid and seawater attack, alkali-aggregate reaction, cracking, abrasion, erosion, cavitation, and weathering.The book presents a framework for specification through internationally adopted codes and standards and summarises the background to probabilistic approaches to durability design, providing a state-of-the-art review of mathematical modelling of deterioration mechanisms along with current directions in test methods for performance-based specifications.

Fundamentals of Durable Reinforced Concrete is an essential reference on concrete durability for specifiers and researchers and is also accessible to undergraduate students.

W. Holmes Finch, Jocelyn E. Bolin ... 338 pages - Language: ‎English - Publisher: Chapman and Hall/CRC; 3rd edition (April, 2024).


Like its bestselling predecessor, Multilevel Modeling Using R, Third Edition provides the reader with a helpful guide to conducting multilevel data modeling using the R software environment.

After reviewing standard linear models, the authors present the basics of multilevel models and explain how to fit these models using R. They then show how to employ multilevel modeling with longitudinal data and demonstrate the valuable graphical options in R. The book also describes models for categorical dependent variables in both single-level and multilevel data.

The third edition of the book includes several new topics that were not present in the second edition. Specifically, a new chapter has been included, focussing on fitting multilevel latent variable modeling in the R environment. With R, it is possible to fit a variety of latent variable models in the multilevel context, including factor analysis, structural models, item response theory, and latent class models. The third edition also includes new sections in Chapter 11 describing two useful alternatives to standard multilevel models, fixed effects models and generalized estimating equations. These approaches are particularly useful with small samples and when the researcher is interested in modeling the correlation structure within higher-level units (e.g., schools). The third edition also includes a new section on mediation modeling in the multilevel context, in Chapter 11.

This thoroughly updated revision gives the reader state-of-the-art tools to launch their own investigations in multilevel modeling and gain insight into their research.

David Kaplan ... 250 pages - Language: English - Publisher: ‎The Guilford Press; 2nd edition (November, 2023) - ISBN-10:‎ 1462553540 - ISBN-13: ‎978-1462553549.


The second edition of this practical book equips social science researchers to apply the latest Bayesian methodologies to their data analysis problems. It includes new chapters on model uncertainty, Bayesian variable selection and sparsity, and Bayesian workflow for statistical modeling. Clearly explaining frequentist and epistemic probability and prior distributions, the second edition emphasizes use of the open-source RStan software package. The text covers Hamiltonian Monte Carlo, Bayesian linear regression and generalized linear models, model evaluation and comparison, multilevel modeling, models for continuous and categorical latent variables, missing data, and more. Concepts are fully illustrated with worked-through examples from large-scale educational and social science databases, such as the Program for International Student Assessment and the Early Childhood Longitudinal Study. Annotated RStan code appears in screened boxes; the companion website (www.guilford.com/kaplan-materials) provides data sets and code for the book's examples.

New to This Edition: • Utilizes the R interface to Stan—faster and more stable than previously available Bayesian software—for most of the applications discussed. • Coverage of Hamiltonian MC; Cromwell’s rule; Jeffreys' prior; the LKJ prior for correlation matrices; model evaluation and model comparison, with a critique of the Bayesian information criterion; variational Bayes as an alternative to Markov chain Monte Carlo (MCMC) sampling; and other new topics. • Chapters on Bayesian variable selection and sparsity, model uncertainty and model averaging, and Bayesian workflow for statistical modeling.

Jürgen Zierep, Karl Bühler ... 237 pages - Language: ‎English - Publisher: ‎Springer; (February, 2022).


This mature textbook brings the fundamentals of fluid mechanics in a concise and mathematically understandable presentation. In the current edition, a section on dissipation and viscous potential flows has been added. Exercises with solutions help to apply the material correctly and promote understanding.

This book is a translation of the original German 11th edition Grundzüge der Strömungslehre by Jürgen Zierep & Karl Bühler, published by Springer Fachmedien Wiesbaden GmbH, part of Springer Nature in 2018. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation. Springer Nature works continuously to further the development of tools for the production of books and on the related technologies to support the authors.

K. Shanker, M. Pradeep Kumar ... 275 pages - Language: ‎English - Publisher: Shashawat; (June, 2022).


Engineering Mechanics, one of the oldest branches of physical science, is a subject of enormous importance. Although it is taught in the first year of engineering, its foundation is rooted in the two other fundamental subjects i.e., applied mathematics and physics. Basically, Engineering Mechanics is a subject that deals with the action of forces. It is broadly classified under Statics and Dynamics. Statics deals with the action of forces on the rigid bodies at rest whereas dynamics deals with motion characteristics of the bodies when subjected to force. The primary purpose of writing this book is to build basic concepts of engineering mechanics along with strong analytical and problem-solving abilities that would enhance the thinking capability of students. Problems are solved systematically with clear procedure that makes the students feel better in understanding the solution.

William Navidi ... 960 pages - Language: English - Publisher: McGraw Hill; 6th edition (January, 2023) - ISBN-10: ‎1265875855 - ISBN-13: ‎978-1265875855.


Statistics for Engineers and Scientists stands out for its clear presentation of applied statistics. The book takes a practical approach to methods of statistical modeling and data analysis that are most often used in scientific work. This edition features a unique approach highlighted by an engaging writing style that explains difficult concepts clearly, along with the use of contemporary real world data sets, to help motivate students and show direct connections to industry and research. While focusing on practical applications of statistics, the text makes extensive use of examples to motivate fundamental concepts and to develop intuition.

Won‐Kee Hong ... 564 pages - Language:‎ English - Publisher: ‎CRC Press; (January, 2023).


Artificial Neural Network-based Optimized Design of Reinforced Concrete Structures introduces AI-based Lagrange optimization techniques that can enable more rational engineering decisions for concrete structures while conforming to codes of practice. It shows how objective functions including cost, CO2 emissions, and structural weight of concrete structures are optimized either separately or simultaneously while satisfying constraining design conditions using an ANN-based Lagrange algorithm. Any design target can be adopted as an objective function. Many optimized design examples are verified by both conventional structural calculations and big datasets.

Uniquely applies the new powerful tools of AI to concrete structural design and optimization + Multi-objective functions of concrete structures optimized either separately or simultaneously + Design requirements imposed by codes are automatically satisfied by constraining conditions + Heavily illustrated in color with practical design examples. The book suits undergraduate and graduate students who have an understanding of collegelevel calculus and will be especially beneficial to engineers and contractors who seek to optimize concrete structures.

Saeid Eslamian, Faezeh Eslamian ... 418 pages - Language: ‎ English - Publisher:‎ CRC Press; (May, 2023).


Ever-increasing population growth has caused a proportional increased demand for water, and existing water sources are depleting day by day. Moreover, with the impact of climate change, the rates of rainfall in many regions have experienced a higher degree of variability. In many cities, government utilities have been struggling to maintain sufficient water for the residents and other users. The Handbook of Irrigation Hydrology and Management: Irrigation Case Studiesexamines and analyzes irrigated ecosystems in which water storage, applications, or drainage volumes are artificially controlled in the landscape and the spatial domain of processes varies from micrometers to tens of kilometers, while the temporal domain spans from seconds to centuries. The continuum science of irrigation hydrology includes the surface, subsurface (unsaturated and groundwater systems), atmospheric, and plant subsystems. Further, the book includes practical case studies from around the world, including locations such as Africa, Australia, China, India, the Middle East, the United States, and more.

Features: Offers water-saving strategies to increase the judicious use of scarce water resources + Presents strategies to maximize agricultural yield per unit of water used for different regions + Compares irrigation methods to offset changing weather patterns and impacts of climate change.

Graham Barnes ... 584 pages - Publisher: Palgrave Macmillan; 4th revised edition (June, 2016) ... Language: English - ISBN-10: 1137512202 - ISBN-13: 978-1137512208.

This bestselling text provides students with a clear understanding of the nature of soil and its behaviour, and offers an insight into the application of principles to engineering solutions. With its comprehensive coverage and accessible writing style, this book is ideal for core university courses in geotechnical and civil engineering, as well as being a handy guide for practitioners.

This fourth edition of Soil Mechanics includes: * Intriguing case studies from around the world, demonstrating real-life situations and solutions * Over 100 worked examples, giving an insight into how engineers tackle specific problems * A companion website providing further commentary on the Geotechnical Eurocodes * An integrated series of video interviews with practising engineers * An extensive online testbank of questions for lecturers to use alongside the book * Suggestions for further reading at the end of each chapter to help with research * A range of new topics and deeper coverage of existing concepts. 1. Soil Formation and Nature 2. Soil Description and Classification 3. Permeability and Seepage 4. Effective Stress and Pore Pressure 5. Contact Pressure and Stress Distribution 6. Compressibility and Consolidation 7. Shear Strength 8. Shallow Foundations - Stability 9. Shallow Foundations - Settlements 10. Pile Foundations 11. Lateral Earth Pressures and Retaining Structures 12. Slope Stability 13. Earthworks and Soil Compaction 14. Site Investigation.

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