Bicycle Stress Analysis with Ansys Mechanical
This tutorial package offers a comprehensive introduction to linear-static analysis using Ansys Mechanical, focusing on a bicycle stress analysis with the case study which is a bicycle crank made from Aluminum 6061-T6. Whether you're a beginner looking to get started with FEA or an experienced engineer seeking to refine your skills, the package provides a strong foundation in the fundamental techniques needed to succeed in real-world applications.
The tutorial covers the essential steps in finite element analysis (FEA), including the model setup, simulation, and interpretation of results. By leveraging Ansys Mechanical, users will perform a full simulation on the crank geometry to assess stress distribution, deformation, and safety under load conditions. Key topics include mesh generation along with mesh refinement, and the application of boundary conditions. The tutorial guides users through material property assignment, mesh independence, and validation with hand calculations, ensuring accuracy.
Ansys-specific features, including post-processing tools for analyzing total deformation, bending stress, and the factor of safety, are thoroughly demonstrated. This package also highlights the power and efficiency of Ansys Mechanical, emphasizing its user-friendly interface and ability to handle complex simulations with greater precision compared to competitors, making it one of the best-in-class structural analysis FEA software.
Glass Fracture Analysis with Abaqus | Post-Fracture
This tutorial explores a finite element method (FEM) simulation using Abaqus to analyze the post-fracture behavior of structural glass members retrofitted with anti-shatter safety films. In particular, it focuses on simulating and calibrating the vibration response of cracked glass elements under repeated impacts and temperature gradients, contributing to a comprehensive analysis of critical phenomena that take place in the post-fracture stage. This tutorial follows the methodology outlined in the research article “Effects of post-fracture repeated impacts and short-term temperature gradients on monolithic glass elements bonded by safety films”.
Key aspects include modeling glass fracture, assigning material properties, and defining boundary conditions to assess the vibration frequency and load-bearing capacity of cracked monolithic glass members. Additional topics cover basic concepts of dynamic identification techniques, definition of performance indicators for glass retrofit efficiency, and frequency sensitivity analysis of monolothic retrofitted glass elements under various operational and ambient conditions. The simulation results help quantify the expected contribution and residual strength of safety films in post-fracture scenarios, providing a robust framework for structural engineers to extend this investigation to other glass configurations.
This tutorial is ideal for users who want to understand FEM modeling in Abaqus and perform detailed simulations involving complex material interactions, with a focus on practical applications in glass retrofit technology.
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. Focused on machine learning for composite materials applications, 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.
An Efficient Stiffness Degradation Composites Model with Arbitrary Cracks | An Abaqus Simulation
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
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.