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ZSOIL v23.54 [Size: 1.03 GB] ...
ZSOIL is the Windows-Based Finite Element Software offering a unified approach to numerical simulation of soil and rock mechanics, above & underground structures, excavations, soil-structure interaction and underground flow, including dynamics, thermal and moisture migration analysis. ZSoil is available for Windows 10&11.

ZSOIL is the first integrated computer code that offered a unified approach to most of the natural processes encountered in geotechnical and foundation engineering, including stability, consolidation, creep and underground flow, excavations and soil-structure interactions. Typical engineering problems that are being handled worldwide with ZSOIL are: foundation and earthwork construction, include tunnels, underground storage facilities, metro stations, mining, cut or fill in highways, railroads, dams, temporary and final retaining structures, water-front and excavation systems with complex excavation sequences, hydraulic structures, and buildings.

ZSOIL is a continuously upgraded geotechnical, foundation and underground flow engineering software based on the finite-element method and written in the MS-Windows environment. The program has been used with great success in forensic analysis and design studies, covering without exception all possible scenarios encountered in real world case studies. ZSOIL has been developed at Zace Services Ltd since 1982. The latest versions were developed by a team led by A.Truty, K.Podles & Th.Zimmermann, with research experience at the Swiss Federal Institute of Technology (EPFL), U.C.Berkeley, and Caltech.

ZSOIL ANALYSES: Nonlinear small and large displacements. Axi-symmetric, Plane strain, and 3D drivers offering single and 2-phase analyses, including partial saturation, with any combination of the algorithmic options that are listed below. + Automatic evaluation of initial stress conditions including steady state flow: combination of gravity and initial-stresses allows an automatic reproduction of the most complex initial state conditions, including existing constructions. +

Stability analysis: through C-phi reduction and stress level algorithms lead to a reliable assessment of safety factors and failure surfaces for the most general problem geometries. Simpler and more general than usual sliding surface approaches. Possibility to analyze safety with respect to local material properties or features like contact surfaces. Ultimate load and deformation analysis.

Prestress conditions (anchors): Simulation of Excavation, construction stages, simulation of fill for cut and cover construction, combined with any sequence of drivers, allowing removal or addition of construction parts, loads, boundary conditions etc, unloading control capability in order to simulate 3-dimensional effects in 2D. Continuous safety assessment.

Consolidation, volumetric and deviatoric creep and swelling (time dependent processes). Flow, steady or transient, fully or partially saturated, with time dependent boundary conditions; fullly arbitrary flow conditions with free surface, seepage surfaces, as well as rain inflow, impermeable zones, coupled or uncoupled with solid deformation can easily be accounted for. Thermal/or moisture migration analysis: Transient thermal/or moisture migration analysis can be performed as a preprocessing in order to define temperature time-histories to be accounted for later in the mechanical analysis.

Dynamic time integration and Pushover analysis for structures, including soil structure interaction.

Constitutive models for continuum include: elastic, Drucker-Prager, Mohr-Coulomb, Hoek-Brown, Multilaminate, Modified Cam-Clay, HS_small strain, Cap model, Densification model, Menétrey-Willam, damage-plastic concrete model (with fire extension), and a Virtual Lab to assist users in data preparation.

ZSOIL uses exclusively linear elements, enhanced (BBAR, enhanced strains, stabilised formulation) to overcome locking phenomena. Finite elements include: truss, cable, beam, plate, shell, thick shell and continuum for single and 2-phase media.

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.

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.

Language: English - Level: Beginner - Number of Lessons: 78 - Duration: 5 hours and 26 minutes.


Statistics for Business Analytics: Data Analysis with Excel is a training course on the importance of statistics in business and business data analysis in Excel software, published by Udemy Academy. Statistical modeling is a very important skill for data analysts, and in this training course you will practice this skill with Excel software. Today, data has included all parts of our lives, and the success of business and various decisions in various industries depends on access to appropriate data and their correct analysis. The world is moving day by day towards a purely data-centric direction, and in this direction, many job positions have been created for data engineers and analysts.

This course is completely comprehensive and includes all the details of statistical modeling and business analysis. What you will learn?: Data Analysis with Excel:Basic principles and basics of statistics and their application in the world of business and various industries + Carrying out data analysis and analysis projects in the powerful Excel software environment + Various statistical methods and their exploitation to solve business problems and finalize data-driven decisions + Statistical assumption test with Excel software + Data-driven decision making and its principles + Business data analysis with descriptive statistics and statistical inference in Excel software + Construction and interpretation of various statistical models based on business data + Implementation of statistical analysis or regression analysis in Excel software to predict the future + Different techniques for analyzing huge and large data sets + Evaluation of different scenarios using available data ...

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