Geo.Engineerings

Plaxis 2D and 3D 2024 (v24.3.0.95) (Size: 4.35 GB) ... The PLAXIS development team is pleased to announce the availability of PLAXIS 2D and 3D 2024. Perform advanced finite element or limit equilibrium analysis of soil and rock deformation and stability, as well as soil structure interaction, groundwater, and heat flow.

The latest releases of PLAXIS marks our definitive transition to becoming part of Seequent, The Bentley Subsurface Company, with some minor cosmetic changes and a change to the version numbering. Benefit from workflow enhancements for rock and mining engineers, a new material model and SoilTest options for users working with unsaturated soils. PLAXIS 2D enters the world of subsurface digital twins and PLAXIS Monopile Designer users can improve their designs with additional design criteria. PLAXIS 2D is a powerful and user friendly finite element package intended for two-dimensional analysis of deformation and stability in geotechnical engineering and rock mechanics. PLAXIS is used worldwide by top engineering companies and institutions in the civil and geotechnical engineering industry. Applications range from excavations, embankment and foundations to tunnelling, mining and reservoir geomechanics. PLAXIS is equipped with a broad range of advanced features to model a diverse range of geotechnical problems, all from within a single integrated software package. PLAXIS uses predefined structural elements and loading types in a CAD-like environment. This empowers the user with fast and efficient model creation, allowing more time to interpret the results.

Plaxis 3D is a software for analyzing the finite element stability and soil transformation in geotechnical engineering. The program, with its many features, fully analyzes geotechnical structures from different angles, and this analysis is based on the scientific and theoretical foundations that the researchers of this scientific branch have achieved. Plaxis 3D Foundation defines complex structures consisting of artificial structures and soil in separation modes, and separate work is possible on each mode. This user-friendly product is designed to be highly flexible in modeling and simulation, has a powerful processing core, and performs post-processing processes well. With its various features, this program is one of the best in the field of geotechnical engineering. plaxis is a company that specializes in geotechnical software and in addition to software, conferences and research seminars around the world. The banking software is based on a finite element analysis method that is used effectively in two-dimensional and three-dimensional products. The seminars held by Plexiglas are not about the software software training, but about the transfer of engineering knowledge among the members. Both to improve the quality of their products and to transfer the technical knowledge and achievements of the day among the researchers in this field.

Jalil Villalobos Alva ... 448 pages - Language: English - Publisher: Apress; 2nd edition (July, 2024).

Enhance your data science programming and analysis with the Wolfram programming language and Mathematica, an applied mathematical tools suite. This second edition introduces the latest LLM Wolfram capabilities, delves into the exploration of data types in Mathematica, covers key programming concepts, and includes code performance and debugging techniques for code optimization.

You’ll gain a deeper understanding of data science from a theoretical and practical perspective using Mathematica and the Wolfram Language. Learning this language makes your data science code better because it is very intuitive and comes with pre-existing functions that can provide a welcoming experience for those who use other programming languages. Existing topics have been reorganized for better context and to accommodate the introduction of Notebook styles. The book also incorporates new functionalities in code versions 13 and 14 for imported and exported data.

You’ll see how to use Mathematica, where data management and mathematical computations are needed. Along the way, you’ll appreciate how Mathematica provides an entirely integrated platform: its symbolic and numerical calculation result in a mized syntax, allowing it to carry out various processes without superfluous lines of code. You’ll learn to use its notebooks as a standard format, which also serves to create detailed reports of the processes carried out.

What You Will Learn: Create datasets, work with data frames, and create tables + Import, export, analyze, and visualize data + Work with the Wolfram data repository + Build reports on the analysis + Use Mathematica for machine learning, with different algorithms, including linear, multiple, and logistic regression; decision trees; and data clustering.

Charu C. Aggarwal ... 553 pages - Language: English - Publisher: Springer; 2nd edition (June, 2023).

Neural networks were developed to simulate the human nervous system for Machine Learning tasks by treating the computational units in a learning model in a manner similar to human neurons. The grand vision of neural networks is to create artificial intelligence by building machines whose architecture simulates the computations in the human nervous system. Although the biological model of neural networks is an exciting one and evokes comparisons with science fiction, neural networks have a much simpler and mundane mathematical basis than a complex biological system. The neural network abstraction can be viewed as a modular approach of enabling learning algorithms that are based on continuous optimization on a computational graph of mathematical dependencies between the input and output. These ideas are strikingly similar to classical optimization methods in control theory, which historically preceded the development of neural network algorithms.

For courses in Engineering. Start at the beginning to introduce your students to MATLABMATLAB® For Engineers introduces students the MATLAB coding language. Developed out of Moore’s experience teaching MATLAB and other languages, the text meets students at their level of mathematical and computer sophistication. Starting with basic algebra, the book shows how MATLAB can be used to solve a wide range of engineering problems. Examples drawn from concepts introduced in early chemistry and physics classes and freshman and sophomore engineering classes stick to a consistent problem-solving methodology.Students reading this text should have an understanding of college-level algebra and basic trigonometry. The text includes brief backgrounds when introducing new subjects like statistics and matrix algebra. Sections on calculus and differential equations are introduced near the end and can be used for additional reading material for students with more advanced mathematical backgrounds.

Sheldon M. Ross ... 704 pages - Language: ‎English - Publisher: Academic Press; 6th edition (November, 2020).

Introduction to Probability and Statistics for Engineers and Scientists, Sixth Edition, uniquely emphasizes how probability informs statistical problems, thus helping readers develop an intuitive understanding of the statistical procedures commonly used by practicing engineers and scientists. Utilizing real data from actual studies across life science, engineering, computing and business, this useful introduction supports reader comprehension through a wide variety of exercises and examples. End-of-chapter reviews of materials highlight key ideas, also discussing the risks associated with the practical application of each material. In the new edition, coverage includes information on Big Data and the use of R.

This book is intended for upper level undergraduate and graduate students taking a probability and statistics course in engineering programs as well as those across the biological, physical and computer science departments. It is also appropriate for scientists, engineers and other professionals seeking a reference of foundational content and application to these fields.

Provides the author’s uniquely accessible and engaging approach as tailored for the needs of Engineers and Scientists + Features examples that use significant real data from actual studies across life science, engineering, computing and business + Includes new coverage to support the use of R + Offers new chapters on big data techniques.

Helena Barros, Joaquim Figueiras, Carla Ferreira, Mário Pimentel ... 203 pages - Language: ‎English - Publisher: ‎Springer (January, 2022).

This book contains auxiliary calculation tools to facilitate the safety assessment of reinforced concrete sections. Essential parameters in the design to the ultimate limit state of resistance such as the percentage of reinforcement and the position of the neutral axis in concrete cross-sections, as well as the control of the maximum stresses in service limit states are provided by these tools. A set of tables, charts and diagrams used to design cross-sections of reinforced and prestressed concrete structures are supplied. The most current beams and columns cross-sections namely, rectangular, circular and T-sections are considered. These tools have been prepared in line with the provisions of the new European regulations, with particular reference to Eurocode 2 – Design of Concrete Structures.

The book stands as an ideal learning resource for students of structural design and analysis courses in civil engineering, building construction and architecture, as well as a valuablereference for concrete structural design professionals in practice.

Chieh-Chen Bowen ... 520 pages - Language: ‎English - Publisher: Sage; 2nd edition (October, 2021).

Written in an accessible and clear manner, Straightforward Statistics with Excel® 2e by Chieh-Chen Bowen helps students across the social and behavioral sciences gradually build their skills to develop a better understanding of the world around them. Each chapter purposefully connects with the previous chapter for a gradual accrual of knowledge from simple to more complex concepts. This effective, cumulative approach to statistics through logical transitions eases students into statistics and prepares them for success in more advanced quantitative coursework and their own research. The second edition now features Excel instructions and exercises throughout so students can use this widely-available and applied software for statistics.

This book is designed to walk the reader through statistics at a steady but gentle pace, providing pop quizzes throughout every chapter so readers can check their knowledge along the way. By gradually stepping up difficulty in each chapter, students generate a solid foundation and are prepared for the next chapters. Straightforward Statistics with Excel looks at the big picture so that the basic statistical concepts connect to everyday and relevant research examples in multiple ways. Throughout the book the reader is reminded of what they need to be able to recall with "You Must Remember This" boxes. A rich source of practical resources are located at the end of chapters beginning with " What You Learned," followed by three sets of exercises so students can immediately apply their knowledge. The new edition features a reorganized presentation of material, starting with measures of central tendency, separating this from measures of variability so students better understand the differences. A more thorough presentation of one-sample and dependent samples t-tests gives students a stronger foundation in these crucial tests in statistics. New examples and studies complete the update, with a focus on simplicity. Throughout, the book makes use of Excel instructions and screenshots so students can take statistics with them through research projects and into the world beyond academia.

Andres Fortino ... 440 pages - Language:‎ English - Publisher:‎ Mercury Learning and Information; (January, 2025).

In today’s data-driven world, the ability to analyze and interpret data is no longer optional-it’s a necessity for making informed business decisions. This book provides a comprehensive, hands-on guide to mastering the essential techniques and tools that empower business analysts to transform raw data into actionable insights. Packed with practical exercises and real-world case studies, this book focuses on applying statistical methods across the most widely used tools, including Excel, R, Python, and generative AI platforms like ChatGPT. Key topics include framing analytical questions, descriptive and advanced statistical techniques, text analytics and A/B testing, and big data and visualization. Whether analyzing sales trends, optimizing marketing strategies, or improving operational efficiency, you’ll gain the skills to make data-backed decisions that drive business success.

Features: • Includes hands-on exercises with industry-standard tools, including Excel, R, Python, and generative AI • Covers step-by-step instructions for advanced techniques like time series forecasting and contingency analysis • Uses real-world case studies to demonstrate the application of concepts to business scenarios