Machine Learning for Composite Materials with Abaqus
This tutorial package delves into an advanced inverse modeling approach for predicting carbon fiber properties in composite materials using a machine learning (ML) technique. Specifically, it covers the use of Gaussian Process Regression (GPR) to build a surrogate model for accurate predictions of fiber properties based on data from unidirectional (UD) lamina. By leveraging Finite Element (FE) homogenization, synthetic data is generated for training the GPR model, accounting for variations in fiber, matrix properties, and volume fractions. This framework’s efficiency and accuracy are validated using real-world data, highlighting its potential as a computational alternative to traditional experimental methods. The package includes detailed explanations, case studies, and practical exercises, equipping users with hands-on experience in applying this ML-based approach to composite material analysis.
Fiber Reinforced Concrete Beams | An Abaqus Simulation
Abaqus basic tutorials on concrete beams and columns
Welcome to the “Abaqus Basic Tutorials on Concrete Members,” a comprehensive course tailored for civil and structural engineers seeking to master finite element modeling (FEM) of concrete structures. This tutorial covers key concepts such as plain concrete beam and column modeling, reinforced concrete members, and fiber-reinforced polymer (FRP) composites. The course guides learners through the application of boundary conditions, material properties, and various loading conditions in Abaqus. Key topics include plain concrete beam and column modeling, reinforcement modeling with steel bars and stirrups, and fiber-reinforced polymer (FRP) reinforcement techniques. Participants will also explore comparing simulation results with experimental data, as well as interpreting critical outcomes such as stress distribution and failure modes. Through hands-on workshops, learners will simulate structural behaviors under axial, lateral, and compression loads, ensuring a practical understanding of FEM for concrete members. By the end of this course, participants will be proficient in using Abaqus to model and analyze concrete structures, reinforced elements, and advanced composites, providing them with a strong foundation for structural analysis and design.
An Efficient Stiffness Degradation Composites Model with Arbitrary Cracks | An Abaqus Simulation
MASTER COMPOSITE SIMULATION IN ABAQUS
ABAQUS PYTHON COURSE FOR SCRIPTING IN FEM SIMULATION
ADVANCED ABAQUS SUBROUTINE COURSE
COMPREHENSIVE ABAQUS TUTORIAL FOR CIVIL ENGINEERS
COMPREHENSIVE ABAQUS COURSE FOR MECHANICAL ENGINEERING
Analysis of Cold Rolled Aluminium Alloy Channel Columns With Abaqus CAE
Seismic Analysis in Post-Tensioned Concrete Gravity Dam Design Using Abaqus Subroutines
Fiber-based Model for High-Strength Steel Beam Analysis with Abaqus
Advanced Finite Element Analysis of Off-Axis Tunnel Cracking Laminates
Bolting Steel to Concrete in Composite Beams: ABAQUS Simulation Validated Against Experiments
Abaqus shaft slip ring simulation | Using Python scripts for parametric analysis
3D Simulation of Gurson-Tvergaard-Needleman (GTN) Damage Model
Viscoplasticity Abaqus Simulation Using UMAT Subroutine | Perzyna Viscoplastic Model
Abaqus User element tutorial | UEL advanced level
Abaqus Simulation of the Curing Process in Composites: A Specific Focus on the Pultrusion Method
Pultrusion is a crucial task for producing constant-profile composites by pulling fibers through a resin bath and heated die. Simulations play a vital role in optimizing parameters like pulling speed and die temperature to enhance product quality and efficiency. They predict material property changes and aid in process control, reducing reliance on extensive experimental trials. However, simulations face challenges such as accurately modeling complex material behaviors and requiring significant computational resources. These challenges underscore the need for precise simulation methods to improve Pultrusion processes. This study employs ABAQUS with user subroutines for detailed mechanical behavior simulations, including curing kinetics and resin properties. Key findings include insights into material property changes, and optimization strategies for enhancing manufacturing efficiency and product quality. This research provides practical knowledge for implementing findings in real-world applications, advancing composite material production.
Notice that, pultrusion is a composite curing method, which may share some overlapping features with our Intermediate and Advanced curing packages. However, what sets pultrusion apart is that the composite passes over a heated die during the process. In this project, the die has also been modeled, with environmental heat applied to it using convection and a film subroutine. The heat is subsequently transferred to the sample through contact with the die. Afterward the die is removed. All these procedure is modeled in this project, with Abaqus CAE step-by-step. In contrast, in our Intermediate and Advanced packages for the oven curing of prepregs, no die has been modeled. The heat is applied without convection and, for simplicity, the heat is treated as a first-type boundary condition, which introduces some errors.
Note: The files and video which explains how to use the code are available. The PDF file will be available two weeks after purchase.
Elastomeric Foam Simulation Using Abaqus Subroutines
Theta Protection Creep Model | Turbine Blade Creep Life Accurate Prediction | Creep Failure in Turbine Blades
Creep is one of the most significant failure modes in many components where the working temperature and stresses are high for a prolonged period of time. Existing creep models in commercial analysis software like Abaqus are not adequate to model all stages of creep namely – primary, secondary, and tertiary stages. Theta projection method is a convenient method proven to predict all stages of creep, especially the tertiary stage where strain rates are high leading to internal damage and fracture. The aim of the project is to develop a user subroutine for Abaqus to model creep in components using the Theta projection method. The constitutive model for the Theta projection method based on the accumulation of internal state variables such as hardening, recovery, and damage developed by (R.W.Evans, 1984) is adopted to compile a Fortran code for the user subroutine. The user subroutine is validated through test cases and comparing the results with experimental creep data. Creep analysis of a sample gas turbine blade (Turbine Blade Creep) is then performed in Abaqus through the user subroutine and the results are interpreted.
Results of test cases validate the accuracy of the Theta Projection Method in predicting all primary, secondary, and tertiary stages of creep than existing creep models in Abaqus (Creep Failure in Turbine Blades). Results at interpolated & extrapolated stress & temperature conditions with robust weighted least square regression material constants show the convenience in creep modeling with less input data than existing models. The results of creep analysis not only predicted the creep life but also indicated the internal damage accumulation. Thus, creep modeling of components through the user subroutine at different load conditions could lead us to more reliable creep life predictions and also indicate the regions of high creep strain for improvements in the early stages of design.
Simulation of an Ultrasonic Transducer (3D Ultrasonic Vibration Assisted Turning Tool)
Since the invention of ultrasonic vibration assisted turning, this process has been widely considered and investigated. The reason for this consideration is the unique features of this process which include reducing machining forces, reducing wear and friction, increasing the tool life, creating periodic cutting conditions, increasing the machinability of difficult-to-cut material, increasing the surface quality, creating a hierarchical structure (micro-nano textures) on the surface and so on. Different methods have hitherto been used to apply ultrasonic vibration to the tip of the tool during the turning process. In this research, a unique horn has been designed and constructed to convert linear vibrations of piezoelectrics to three-dimensional vibrations (longitudinal vibrations along the z-axis, bending vibrations around the x-axis, and bending vibrations around the y-axis). The advantage of this ultrasonic machining tool compared with other similar tools is that in most other tools it is only possible to apply one-dimensional (linear) and two-dimensional (elliptical) vibrations, while this tool can create three-dimensional vibrations. Additionally, since the nature of the designed horn can lead to the creation of three-dimensional vibrations, there is no need for piezoelectric half-rings (which are stimulated by a 180-phase difference) to create bending vibrations around the x and y axes. Reduction of costs as well as the simplicity of applying three-dimensional vibrations in this new method can play an important role in industrializing the process of three-dimensional ultrasonic vibration assisted turning.
In this example, how to model all the components of an ultrasonic transducer and its modal and harmonic analysis are taught in full detail.
Abaqus convergence tutorial | Introduction to Nonlinearity and Convergence in ABAQUS
This package introduces nonlinear problems and convergence issues in Abaqus. Solution convergence in Abaqus refers to the process of refining the numerical solution until it reaches a stable and accurate state. Convergence is of great importance especially when your problem is nonlinear; So, the analyst must know the different sources of nonlinearity and then can decide how to handle the nonlinearity to make solution convergence. Sometimes the linear approximation can be useful, otherwise implementing the different numerical techniques may lead to convergence.
Through this tutorial, different nonlinearity sources are introduced and the difference between linear and nonlinear problems is discussed. With this knowledge, you can decide whether you can use linear approximation for your nonlinear problem or not. Moreover, you will understand the different numerical techniques which are used to solve nonlinear problems such as Newton-Raphson.
All of the theories in this package are implemented in two practical workshops. These workshops include modeling nonlinear behavior in Abaqus and its convergence study and checking different numerical techniques convergence behavior using both as-built material in Abaqus/CAE and UMAT subroutine.
