The Nest of Engineers

[Language: English - Number of Lessons: 12 - Duration: 2 hours and 16 minutes - Size: 1.366 GB] ... Geotechnical analyzes of retaining walls in Plaxis 2D is a training course on the analysis and design of retaining walls using PLAXIS 2D software, which was published by the online academy of Udemy. Geotechnical analyzes of retaining walls in Plaxis 2D is a specialized course aimed at civil and geotechnical engineers who want to deepen their understanding of the analysis and design of retaining walls using PLAXIS 2D software. This course provides an overview of retaining wall behavior, including principles of earth pressure theory and stability considerations. Students will learn to model different types of retaining walls, analyze different loading conditions, and evaluate the effects of soil properties on wall performance. The curriculum includes step-by-step guidance in using PLAXIS 2D for effective geotechnical analyses, including real-world case studies and hands-on exercises.

The key points of this training course include understanding the mechanics of retaining walls and earth pressures, mastering the PLAXIS 2D software interface for geotechnical analysis, modeling the types and configurations of retaining walls, analyzing stability under different loading scenarios, evaluating the effects of soil and structure interaction, Perform limit equilibrium analyses, and interpret results for engineering design and decision making. At the end of the course, individuals will be equipped with the skills to perform full geotechnical analyzes of retaining walls and ensure safe and efficient design practices.

What you will learn in Geotechnical analyses of retaining walls in Plaxis 2D: Real examples of retaining wall analysis + Making 2D Plaxis models + Calculation of material properties of steel sheet piles, walls and concrete slabs, ground anchors and foundations + Analysis of Plaxis results + Optimization of the parameters of retaining walls and ground anchors based on the results of Plaxis analysis and…

Bentley Seequent GeoStudio v2024.2.1.28 [Size: 935 MB] ... GeoStudio's integrated products enable you to work across various engineering use cases. The integrated GeoStudio software suite enables you to combine multiple analyses using different products into a single modeling project. Use GeoStudio products together for an integrated modeling experience. Use this approach to model construction sequences, establish initial conditions, perform sensitivity analyses, model complex time sequences, or decompose a complex problem into several smaller, more manageable analyses. GeoStudio is an integrated software suite for modeling slope stability, ground deformation, and heat and mass transfer in soil and rock.

Overview of GEOSLOPE GeoStudio Features: GeoStudio provides many tools for defining the model domain, including coordinate import, geometric item copy-paste, length, angle feedback, region merge and split, and DWG / DXF file import. + GeoStudio runs each analysis solver in parallel, solving multiple analyses efficiently on computers with modern, multi-core processors. + GeoStudio provides powerful visualization tools, including graphing, contour plots, isolines, animations, interactive data queries, and data exports to spreadsheets for further analysis. + GeoStudio enables you to combine analyses using different products into a single modeling project, using the results from one as the starting point for another. GeoStudio Ultimate expands the capability of GeoStudio Advanced with functionality to analyse static and dynamic stress and deformation within soil or rock including coupled consolidation, finite element stress stability, and the ability to use finite element results in the limit equilibrium analysis.

QUAKE/W is a powerful finite element software product for modelling earthquake liquefaction and dynamic loading. QUAKE/W determines the motion and excess pore water pressures that arise due to earthquake shaking, blasts, or sudden impact loads. SEEP/W is a powerful finite element software product for modelling groundwater flow in porous media. SEEP/W can model simple saturated steady-state problems or sophisticated saturated/unsaturated transient analyses with atmospheric coupling at the ground surface. SIGMA/W is a powerful finite element software product for modelling stress and deformation in soil, rock, and structures. SIGMA/W analyses may range from simple linear elastic simulations to soil-structure interaction problems with nonlinear material models. SLOPE/W is the leading limit equilibrium slope stability software for soil and rock slopes, analysing both simple and complex problems for a variety of slip surface shapes, pore water pressure conditions, soil properties, and loading conditions.

Kamal I. M. Al-Malah ... 592 pages - Language: ‎English - Publisher: ‎Wiley; (October, 2023) - ISBN-10: ‎1394209088 - ISBN-13:‎ 978-1394209088.

Machine and Deep Learning Using MATLAB introduces early career professionals to the power of MATLAB to explore machine and deep learning applications by explaining the relevant MATLAB tool or app and how it is used for a given method or a collection of methods. Its properties, in terms of input and output arguments, are explained, the limitations or applicability is indicated via an accompanied text or a table, and a complete running example is shown with all needed MATLAB command prompt code. The text also presents the results, in the form of figures or tables, in parallel with the given MATLAB code, and the MATLAB written code can be later used as a template for trying to solve new cases or datasets. Throughout, the text features worked examples in each chapter for self-study with an accompanying website providing solutions and coding samples. Highlighted notes draw the attention of the user to critical points or issues.

Readers will also find information on: Numeric data acquisition and analysis in the form of applying computational algorithms to predict the numeric data patterns (clustering or unsupervised learning) + Relationships between predictors and response variable (supervised), categorically sub-divided into classification (discrete response) and regression (continuous response) + Image acquisition and analysis in the form of applying one of neural networks, and estimating net accuracy, net loss, and/or RMSE for the successive training, validation, and testing steps + Retraining and creation for image labeling, object identification, regression classification, and text recognition.

Machine and Deep Learning Using MATLAB is a useful and highly comprehensive resource on the subject for professionals, advanced students, and researchers who have some familiarity with MATLAB and are situated in engineering and scientific fields, who wish to gain mastery over the software and its numerous applications.

Pijush Samui, Sunita Kumari, Vladimir Makarov, Pradeep Kurup ... 846 pages - Publisher: ‎Academic Press; (December, 2020) - Language: ‎English.

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.

Antonio Marco ... 160 pages - Language: ‎English - Publisher: Chapman and Hall/CRC; (December, 2023).

Statistics is central in the biosciences, social sciences and other disciplines, yet many students often struggle to learn how to perform statistical tests, and to understand how and why statistical tests work. Although there are many approaches to teaching statistics, a common framework exists between them: starting with probability and distributions, then sampling from distribution and descriptive statistics and later introducing both simple and complex statistical tests, typically ending with regression analysis (linear models).

This book proposes to reverse the way statistics is taught, by starting with the introduction of linear models. Today, many statisticians know that the one unifying principle of statistical tests is that most of them are instances of linear models. This teaching method has two advantages: all statistical tests in a course can be presented under the same unifying framework, simplifying things; second, linear models can be expressed as lines over squared paper, replacing any equation with a drawing.

This book explains how and why statistics works without using a single equation, just lines and squares over grid paper. The reader will have the opportunity to work through the examples and compute sums of squares by just drawing and counting, and finally evaluating whether observed differences are statistically significant by using the tables provided. Intended for students, scientists and those with little prior knowledge of statistics, this book is for all with simple and clear examples, computations and drawings helping the reader to not only do statistical tests but also understand statistics.