Geo.Engineerings

[Language: English - Number of Lessons: 9 - Duration: 2 hours and 27 minutes - Size: 1.36 GB] ... Advanced Earthquake Analysis Using PLAXIS 3D is an earthquake analysis and design training course published by Udemy Online Academy. Advanced Earthquake Analysis Using PLAXIS 3D is an intensive course for civil and geotechnical engineers looking to enhance their skills in seismic analysis and design. This course focuses on the application of PLAXIS 3D software for modeling and analyzing the effects of earthquakes on soil-structure interactions. Students will gain an in-depth understanding of dynamic analysis methods, including time history analysis and response spectrum analysis, as well as principles of soil liquefaction and ground motion propagation.

The key points of this training course include understanding the principles of earthquake engineering, mastering PLAXIS 3D for dynamic analysis, modeling soil and structure interactions under seismic loading, implementing response spectrum and time history analysis, assessing soil liquefaction potential, motion propagation analysis. Land and use the results for optimization. The curriculum includes detailed instructions on setting up complex models that simulate real-world earthquake scenarios, evaluate the behavior of various structures under seismic loads, and interpret the results to inform engineering decisions. By the end of the course, individuals will be proficient in performing advanced earthquake analysis and ensuring that structures are designed to effectively withstand seismic events.

What you will learn in Advanced Earthquake Analysis Using PLAXIS 3D: Creating a 3D numerical model including pile, pile cap, bridge support and approach + Calibration of different earthquake time histories to determine the most suitable signal + Using the design time history in the created 3D model to determine the forces in the foundation piles at different time stages + Implementation of Python scripting to extract forces in piles through automation + and…

[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…

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.