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Bentley ADINA Ultimate
Bentley ADINA Ultimate 2023 CONNECT Edition version 23.00.00.306 [Size: 781 MB] ... The premier finite element program for nonlinear analysis, ADINA software is used to solve the most difficult nonlinear problems involving geometric, material, and load nonlinearities; large deformations; and contact conditions.

What Is ADINA Ultimate?: ADINA Ultimate includes everything in ADINA Advanced, plus ADINA CFD, ADINA FSI, ADINA EM, ADINA Multiphysics, and the ADINA User Interface. Choose this software suite to solve your most challenging nonlinear problems involving:Geometric, material, and load nonlinearities + Large deformations + Contact conditions + Heat transfer + Thermo-mechanical coupling + Computational fluid dynamics + Fluid structure interaction + Electromagnetics + Multiphysics.

Create Computational Fluid Dynamic Simulations/ADINA CFD: Model incompressible and compressible flows in a wide array of fluid flows including laminar and turbulent regimes, thin-film Reynolds flow, two-phase flow, non-isothermal flow, conjugate heat transfer, and more. Benefit from material models for handling non-Newtonian fluids and real gasses. Solve general flow conditions in arbitrary geometries.

Multiphysics Solution for Complex Fluid-structure Interaction (FSI) Analyses/ADINA FSI: Use direct FSI coupling or iterative FSI coupling methods to solve the coupling effects of fluids and structures. Satisfy the conditions of displacement compatibility and traction equilibrium. FSI analysis can be performed with incompressible, slightly compressible, low-speed compressible, and high-speed compressible flow. It is ideal for large deformations of soft structures, or highly compressible flows abutting stiff structures. All available element types can be used, including shell, 2D and 3D solid, beam, iso-beam, and contact surfaces, as well as all available material models.

Solution Capabilities for Electromagnetic Analysis/ADINA Electromagnetics: Electromagnetic effects can be coupled to mechanical or fluid flow systems. Solve for general Maxwell’s equations with different loading and boundary conditions, electrostatic and magnetostatic fields, AC/DC conduction, time-harmonic, eddy current, EM fields with Lorentz forces, EM fields coupled with temperature, and wave guide.

Unique Breadth and Depth Multiphysics Capabilities/ADINA Multiphysics: Gain deeper insight into the performance of your designs to better understand the causes and consequences of natural phenomena. The software offers a full array of multiphysics capabilities, including FSI, thermo-mechanical coupling (TMC), structural-pore pressure coupling (porous media), thermal-fluid-structural coupling, electric field-structural coupling (piezoelectric), thermal-electrical coupling (Joule heating), acoustic fluid-structural coupling, fluid flow-mass transfer coupling, and fluid flow-electromagnetic coupling.

MathWorks MATLAB R2023b v23.2.0.2365128 x64 [Size: 22.9 GB] ... The company MathWorks is the most complete software computing computer production in … program main the company that, in fact, come, it is software MATLAB (stands for Matrix Laboratory and able laboratories, matrix), which is one of the most advanced software numerical calculations, and mathematical and a programming language, advanced, and fourth-generation and it is possible to visualize and draw the functions and data it provides. Icon and sign MATLAB that with the manufacturer’s logo is also identical from the wave equation, etc. of the membrane in L-shape and the Special Functions is extracted. Competitors of MATLAB can be used to Mathematica, etc. Maple and Mathcad noted.

Facilities and features of the software MathWorks MATLAB: – Perform a variety of calculations, heavy and complicated math – Development environment for managing code, files and data – Discover the methods to faster reach a solution – A variety of mathematical functions for linear algebra, etc. statistics. analysis, February,, optimization, etc. filtering, etc. old style numeric and… – Draw functions of the graphics were two-dimensional and three-dimensional visualization information – Design and build user interfaces under the programming languages C++, C or Java – Ability to test and measure the exact functions and charts – Possibility of signal processing, communications, image and video – Is there a box of tools from various companies, engineering, navigation, applications monitoring, such as telecommunications, control, fuzzy, etc. estimate the … statistics. gathering data, simulation system, neural network, etc. probability and… – Ability to biological computing ...

Michael E. Plesha, Gary L. Gray, Robert J. Witt, Francesco Costanzo ... 3557 pages - Language: ‎English - Publisher: McGraw-Hill Higher Education; 3rd edition (February, 2022).


Engineering Mechanics: Statics and Dynamics is the Problem Solver's Approach for Tomorrow's Engineers. Based upon a great deal of classroom teaching experience authors Plesha Gray andamp; Costanzo provide a rigorous introduction to the fundamental principles of statics and dynamics in a visually appealing framework for students.This title is available in Connect with SmartBook featuring Application-Based Activities the Free Body Diagram Tool and Process Oriented Problems. Instructor resources for this title include: an Image Library Lecture PPTs and an Instructor Solutions Manual.

Teacher: Nastaran Reza Nazar Zadeh - Language: English - Videos: 50 - Duration: 4 hours and 11 minutes.

Artificial Neural Network and Machine Learning using MATLAB This course is uniquely designed to be suitable for both experienced developers seeking to make that jump to Machine learning or complete beginners who don’t understand machine learning and Artificial Neural Network from the ground up. In this course, we introduce a comprehensive training of multilayer perceptron neural networks or MLP in MATLAB, in which, in addition to reviewing the theories related to MLP neural networks, the practical implementation of this type of network in MATLAB environment is also fully covered. MATLAB offers specialized toolboxes and functions for working with Machine Learning and Artificial Neural Networks which makes it a lot easier and faster for you to develop a NN. At the end of this course, you’ll be able to create a Neural Network for applications such as classification, clustering, pattern recognition, function approximation, control, prediction, and optimization.

What you’ll learn: Develop a multilayer perceptron neural networks or MLP in MATLAB using Toolbox + Apply Artificial Neural Networks in practiceBuilding Artificial Neural Network Model + Knowledge on Fundamentals of Machine Learning and Artificial Neural Network + Understand Optimization methods + Understand the Mathematical Model of a Neural Network + Understand Function approximation methodology + Make powerful analysis + Knowledge on Performance Functions + Knowledge on Training Methods for Machine Learning.

Teachers:
Dr. H. T. Jadhav, Mayank Dadge - Language: English - Videos: 26 - Duration: 3 hours and 16 minutes.

This course is specifically developed for B. Tech. and M. Tech/MS students of all Engineering disciplines. Especially the students of Mechanical, Electrical, Automobile, Chemical, Aeronautical, Electronics, Computer science, Instrumentation, Mechatronics, Manufacturing, Robotics and Civil Engineering can learn MATLAB basics and solve Engineering Optimization problems in their area as part of mini-project or capstone project. In addition to this, the course is also useful to Ph. D. students of different engineering branches.

The course is designed in such a way that the student who is not well versed with MATLAB programing can learn the basics of MATLAB in the first part so that it is easy for him/her to understand MATLAB implementation of Artificial bee colony Algorithm to solve simple and advanced Engineering problems. The content is so organized that the learner should be able to understand Engineering optimization from scratch and solve research problems leading to publication in an international journal of high repute. It should be useful to students of all universities around the world.

What you’ll learn: Write MATLAB program to solve Engineering problems + Understand Artificial bee colony Optimization Algorithm (ABC) + Implement ABC Algorithm to solve benchmark problems + Implement ABC Algorithm to solve Mechanical Engineering problems + Design and develop MATLAB program using ABC Algorithm for Mechanical Engineering Optimization problem + Work on research problem leading to publication in international journals of high repute.

PLAXIS 2D 2023.2 (23.02.00.1059) (Size: 2.04 GB) ...
The PLAXIS development team is pleased to announce the availability of PLAXIS 2D 2023.2 (23.02.00.1059). 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.

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