Abaqus Crack Growth | Practical Examples
Abaqus Concrete Structure Modeling | Practical Examples (Part 4)
Abaqus Concrete Structure Modeling | Practical Examples (Part 3)
Abaqus Concrete Structure Modeling | Practical Examples (Part 2)
Abaqus Concrete Structure Modeling | Practical Examples (Part 1)
Abaqus steel material and structures | Practical examples
Bio-Mechanical Abaqus simulation | Practical Examples
This package offers multiple practical examples on biomechanical simulations using Abaqus, covering a range of applications from dental to orthopedic and cardiovascular analyses. The workshops delve into finite element method (FEM) simulations, exploring static loading on human teeth, crack growth in bones under bending, bone drilling, and the behavior of titanium foam implants. Each tutorial emphasizes the importance of precise modeling and meshing techniques, utilizing dynamic explicit procedures, Johnson-Cook material models, and various contact and boundary conditions to simulate realistic biomechanical behaviors. Additionally, the package includes fluid-structure interaction (FSI) simulations for blood flow within coronary vessels, addressing both Newtonian and non-Newtonian models, and demonstrates the integration of computational fluid dynamics (CFD) with structural analysis for enhanced accuracy. For more details on this topic, including explanatory videos covering the necessary formulation and theory in the form of a course, you can check out our full package on Abaqus Bio-mechanical simulation. The introduced package includes all the workshops within this package, along with several lessons in video format, to help you master the theory of biomedical simulation in Abaqus.
Composite Fatigue Simulation with Subroutine in ABAQUS (unidirectional) for 3D Element
Fatigue in composites refers to the weakening of a material caused by repeatedly applied loads or stress cycles over time. When a composite material is subjected to cyclic loading, small cracks or microdamage can form within the material, which may grow and lead to failure after a certain number of loading cycles. This is a significant consideration in the design and analysis of composite structures, especially in applications subjected to repeated stress, such as in aerospace, automotive, or civil engineering.
In one of our other packages, we have used the UMAT subroutine in Abaqus to simulate fatigue in composites in two-dimensional space. The current project is more comprehensive, as it addresses composite fatigue in both 2D and 3D spaces. So you can use it for the simulation of both shells and solids. In this project, you will first become familiar with simulating composite fatigue in 3D space using the Abaqus UMAT subroutine. Then, we will provide a complete UMAT code along with Abaqus files for extending the simulation to 3D space, enabling the 3D simulation of composite fatigue in Abaqus.
Simulation of the Generalized Maxwell Viscoelastic Model using UMAT Subroutine
This research presents a precise three-dimensional mechanical response of viscoelastic materials, such as polymers and elastomers, using the generalized rheological Maxwell viscoelastic model (considering the five Maxwell elements). That is to say, we implement the Maxwell model of viscoelasticity using the UMAT subroutine for the Abaqus standard solver. To clarify, using the concepts in this tutorial, you can implement the model for any N-Maxwell elements, using the viscoelastic Maxwell model.
The Maxwell viscoelastic model is appropriate for qualitative and conceptual analysis, but the single Maxwell element is not sufficient to describe the behavior of elastomers and polymers. For a more precise definition of these materials, the generalized Maxwell viscoelastic model is used. In the generalized Maxwell viscoelastic model, N piece of Maxwell elements and a single spring (the Hooke-element) are assembled in parallel. This tutorial, by customizing the UMAT subroutine to simulate flexible samples behavior, contributes to the advancement of viscoelastic materials design and analysis.
Essential Abaqus Training for Engineers: From Basics to Advanced Techniques
This beginner-friendly Abaqus course offers a complete guide to mastering finite element simulations through step-by-step tutorials and practical workshops. It covers essential topics such as Abaqus/CAE basics, finite element theory, composite material simulation, and thermal and impact analyses. Advanced sections delve into UMAT/VUMAT subroutines and Python scripting, equipping users with skills to automate workflows and solve complex engineering problems. Workshops include real-world examples like cantilever beams, forming processes, and fracture simulations. Perfect for engineering students and professionals, this course helps you build a solid foundation in Abaqus and expand your simulation capabilities.
Fretting Fatigue Failure Simulation with Scripting in Abaqus
This Package offers a comprehensive tutorial on using Abaqus for Fretting Fatigue Failure Simulation. To do so, it combines theoretical knowledge with practical application in Finite Element Method (FEM) simulations. The package guides users through both detailed lessons and interactive workshops. In fact, it focuses on developing 2D Fretting-Fatigue models in Abaqus with three core areas: model creation with exclusively designed meshing methodologies, the development of custom Field Outputs for detailed analysis, and automated parameter selection and post-processing through Python scripting.
Throughout the tutorial, participants master critical aspects of Fretting Fatigue Failure simulation. It includes basics from mesh refinement techniques and step control optimization to complete workflow automation. The program distinctively integrates command prompt operations for extracting Field Outputs and modifying simulation parameters. For example, we can refer to the Coefficient of Friction (CoF). Users gain practical experience in creating robust models while understanding the fundamental principles of the Fretting Fatigue Failure phenomenon.
Upon completion, participants will acquire the skills to independently develop and analyze Fretting Fatigue failure simulations. Moreover, they can automate post-processing tasks, and implement custom analysis parameters for precise fatigue prediction in mechanical systems.
Domino Effect Simulation in Abaqus | With a Review of Contact Definition Methods in Abaqus Explicit
This project focuses on the domino effect simulation with Abaqus CAE, a widely recognized finite element program. The domino effect refers to a chain reaction where one event triggers a series of similar events. It often leads to larger and unpredictable consequences. The project highlights the challenges of defining contact between components in Abaqus, a crucial aspect of domino effect simulation. The provided video explains the step-by-step modeling process. However, since one of the key challenges in this topic is defining contact, we have also attached a separate PDF. It covers defining contact in Abaqus Explicit. It includes its formulations and methods. The PDF will provide you with a better understanding of the modeling process. You can also apply it to model other problems.
How to use ABAQUS Documentation
Inherent strain method in Metal Additive Manufacturing simulation (using subroutines and Python scripting in Abaqus)
This tutorial package focuses on the Inherent Strain method in Abaqus, an efficient numerical approach to simulate Laser Powder Bed Fusion (LPBF) in metal additive manufacturing.
It addresses the high computational cost of detailed thermo-mechanical LPBF simulations by utilizing an agglomeration approach to transfer inherent strain from micro to macro-scale models. Through theoretical explanations and practical workshops, users will learn to implement the ISM method, including Dflux and USDFLD subroutine coding and Python scripting, for improved LPBF process simulation control. This product does not utilize AM plugins, making it ideal for users who prioritize transparency in calculation methods and flexibility in variable modification for similar models.
Laser Assisted Machining (LAM): Modeling and Simulation in Abaqus/CAE
In this tutorial, a comprehensive discussion on modeling and simulation of laser assisted machining is presented. It includes building FEM-based models of machining, laser heating, and laser-assisted machining models in Abaqus/CAE. The finite element method (FEM) simulation is based on the coupled thermo-mechanical behavior. The package walks learners through building models that simulate the impact of laser heating on the workpiece. Detailed lessons cover constructing basic machining and laser heating models, setting boundary conditions like cutting speed and laser power, and writing subroutines such as DFLUX and VDFLUX to simulate laser heat sources. Additionally, learners will perform analyses to study temperature distribution, and stress-strain behavior. Through parametric analysis and comprehensive result evaluation, learners will gain a deep understanding of temperature distribution, stress behavior, and how laser heating can improve the machining process.
Simulation of Inertia Welding process in Abaqus | Fortran Subroutines and Python Scripts
This tutorial provides a comprehensive guide to simulating inertia friction welding process​ using Abaqus, a powerful Finite Element Analysis (FEA) tool. Inertia welding process, commonly used in aerospace, automotive, and manufacturing industries, is a solid-state process that joins metal parts using kinetic energy. The simulation focuses on modeling frictional heating, temperature distribution, and material behavior through integrated Fortran subroutines and Python scripts. These scripts automate tasks such as remeshing and model generation, enhancing efficiency. Key steps include defining axisymmetric models, applying material properties, and simulating thermal and mechanical interactions during the inertia welding process. This guide equips researchers and engineers with a robust methodology for inertia welding simulation, to optimize welding parameters and analyze weld quality.
Using Viscoelastic and Path-Dependent Models for Analyzing the Curing Process in Fiber-Reinforced Composites With Abaqus subroutines
Brittle Damage in Abaqus | Brittle Cracking Abaqus​
Brittle materials, such as ceramics, glass, and concrete, break or fracture easily under stress without extensive deformation. Unlike ductile materials, brittle materials snap suddenly, lacking the flexibility to rearrange their atomic structure under strain. These materials have low tensile strength but strong compressive resistance, making them vulnerable to brittle cracking Abaqus simulations when stretched or pulled.
Understanding brittle material damage is crucial in safety-critical fields like civil engineering, aerospace, and manufacturing, where unexpected fractures can lead to catastrophic failures. Simulations help engineers predict when and how brittle materials may break, guiding safer design choices. Brittle cracking Abaqus can be modeled using various methods, including the Johnson-Holmquist (JH) model, XFEM, and energy-based approaches, each suited to different types of loading conditions.
For dynamic, high-strain applications like impacts, the JH model is effective, particularly in Abaqus/Explicit with specific damage parameters. For general crack modeling, XFEM is versatile, allowing cracks to form naturally without predefined paths. The energy-based method is useful for slow-loading scenarios, defining an energy threshold for fracture initiation. Each method requires careful input of material properties, mesh refinement, and load conditions to reveal potential failure points and improve material performance in real applications.
Abaqus Kelvin Voigt Model (Viscoelastic) Simulation Using UMAT and VUMAT Subroutines
This research presents a precise three-dimensional mechanical response of viscoelastic materials using Abaqus kelvin voigt viscoelastic model. We performed this kelvin voigt model Abaqus simulation using both UMAT and VUMAT subroutines for standard and explicit solvers.
The behavior of viscoelastic materials is a state between the behavior of a liquid and a solid. In other words, they behave both like liquids and solids. That is to say, there are many natural and synthetic materials that are classified as viscoelastic materials; From the biological structures of the body such as skin, cartilage and tissue to concrete, foams, rubbers, and synthetic polymers. Due to these unique properties, viscoelastic materials have many applications.
In this regard, the primary goals of this study include the development and implementation of an accurate three-dimensional Abaqus kelvin voigt viscoelastic model, and the integration of viscoelastic properties into the analysis, which can improve the prediction of viscoelastic materials response under different boundary and loading conditions.
This tutorial, by customizing the UMAT and VUMAT subroutines to simulate flexible samples behavior, contributes to the advancement of viscoelastic materials design and analysis.
Implementation of Soil Constitutive Models in Abaqus | With a Special Focus on CSJ Models
Constitutive model implemented in calculation code, play an important role in the material behaviors prediction. In the field of geotechnical engineering there are numerous soil constitutive models. By installing these models in a finite element code such as Abaqus, their development, efficiency and advancement can be increased. Also, more and more complex engineering problems can be solved by this method. But to do this, you need a proper understanding of the mathematical and programming basics of these models. This tutorial focuses on implementing advanced constitutive models in Abaqus, particularly for simulating soil behavior. Focusing on the CJS model, this tutorial tries to teach how to work and how to program these models in Abaqus code. It includes detailed explanations of VUMAT and UMAT subroutines and practical examples of implementing the CJS model.
Note: In this project, we have discussed the UMAT and VUMAT subroutines, their specifications, and features. You will become familiar with the implementation of both UMAT and VUMAT subroutines. However, the specific focus of this project, for which we have provided the necessary files and run the analysis, is on using the VUMAT model. If you need to use Abaqus for this project with the standard solver, you will need to write the UMAT subroutine yourself.
Concrete Damage Plasticity Simulation of FRP-Confined Concrete Columns in Abaqus
This tutorial package provides a comprehensive guide to implementing USDFLD subroutine in the context of Concrete Damage Plasticity Material Model. The tutorial focuses on key modeling aspects such as definition of concrete material properties using Concrete Damage Plasticity (CDP) Model. A theoretical background of the model will be presented and detailed explanation of the definition of all material properties will be given. The package will also explain the usage of the USDFLD subroutine to modify concrete material properties dynamically during simulation. Examples of implementing USDFLD in the context of CDP will be presented with focus on material properties that vary in function of pressure and axial strain defined as field variables.
All other modeling details will also be explained including boundary conditions, meshing, loading, and interactions.
By following the detailed steps in this tutorial, you will be able to create and analyze advanced FEM simulations in Abaqus with a focus on concrete having properties that vary during simulation.
Computational Predictions for Predicting the Performance of Structure
This package focuses on developing and applying predictive models for the structural analysis of steel and concrete components subjected to fire and subsequent earthquake loading. To accurately simulate the complex behavior of these structures, finite element analysis (FEA) using ABAQUS is employed. The Taguchi method optimizes the number of samples needed for FE analysis, and this method is used with SPSS after explanation its concept. However, due to the computational demands of FEA, various machine learning techniques, including regression models, Gene Expression Programming (GEP), Adaptive Network-Based Fuzzy Inference Systems (ANFIS), and ensemble methods, are explored as surrogate models. These models are trained on large datasets of FEA results to predict structural responses efficiently. The performance of these models is evaluated using statistical metrics such as RMSE, NMSE, and coefficient of determination.
Damage Prediction in Reinforced Concrete Tunnels under Internal Water Pressure
This tutorial package equips you with the knowledge and tools to simulate the behavior of reinforced concrete tunnels (RCTs) subjected to internal water pressure. It combines the power of finite element (FE) modeling with artificial intelligence (AI) for efficient and accurate analysis. The Taguchi method optimizes the number of samples needed for FE analysis, and this method is used with SPSS after explanation its concept.
By leveraging Artificial Intelligence (AI) techniques such as regression, GEP, ML, DL, hybrid, and ensemble models, we significantly reduce computational costs and time while achieving high accuracy in predicting structural responses and optimizing designs.