Showing all 20 results

Computational Predictions for Predicting the Performance of Structure

 340.0

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

 370.0

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.

Computational Modeling of Steel Plate Shear Wall (SPSW) Behavior

 320.0

This course equips engineers with the tools to design and analyze Steel Plate Shear Wall (SPSW) and Reinforced Concrete Shear Walls (RCSW) subjected to explosive loads. Traditional Finite Element (FE) simulation is time-consuming and requires numerous samples for accurate results. This package offers a more efficient approach using Artificial Intelligence (AI) models trained on FEA data. You'll learn to develop FE models of SPSW and RCSW in ABAQUS software, considering material properties, interactions, and boundary conditions. The Taguchi method optimizes the number of samples needed for FE analysis, and this method is used with SPSS after explanation its concept.

We then delve into AI modeling using MATLAB. Explore various methods like regression, Machine Learning (ML), Deep Learning (DL), and ensemble models to predict the behavior of SPSW and RCSW under blast loads. Statistical analysis helps compare model accuracy. By combining FE analysis with AI models, you'll gain a powerful tool for designing blast-resistant structures while saving time and resources.

Earthquake Damping in 8-Story Structure using Bypass Viscous Damper | Seismic Damping in Masonry Cladding

 230.0

In this package, the dynamic behavior of a developed bypass viscous damper is thoroughly evaluated as an advanced solution for earthquake damping. This innovative seismic damping device features a flexible, high-pressure hose that serves as an external orifice, functioning as a thermal compensator to reduce viscous heating during dynamic events. By adjusting the hose’s dimensions, the damper’s performance can be fine-tuned to provide optimal damping properties. Comprehensive simulations using CFD models in ABAQUS and structural analysis in SAP2000 validate the damper’s effectiveness. The package also offers a simplified design procedure for integrating these dampers into structures, demonstrated through an 8-story hospital case study, where the dampers significantly reduce structural demands and enhance the performance of nonstructural elements during seismic events.

Abaqus basic tutorials on concrete beams and columns

 150.0

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

 0.0
(3)
Composite materials are critical in high-performance applications due to their exceptional strength-to-weight ratios and customizable properties. They are widely used in aerospace, automotive, and civil engineering. However, their complex structure makes them susceptible to various damage mechanisms, such as tunnel cracking and delamination, which can significantly affect their structural integrity. Accurate damage prediction is essential for effective use and maintenance. Traditional methods often rely on extensive experimental testing, but finite element analysis (FEA) has become a valuable alternative. Abaqus is particularly effective for modeling composite damage due to its comprehensive material modeling and customizable subroutines. The research presented utilizes Abaqus to develop a model for predicting Stiffness Degradation Composites laminates with arbitrarily oriented cracks, offering valuable insights into damage progression and stiffness loss under various loading conditions. To achieve this, UEL, UMAT, and DISP subroutines are used. Additionally, a Python script is provided to import the model into Abaqus.  

Analysis of Cold Rolled Aluminium Alloy Channel Columns With Abaqus CAE

 110.0
Cold rolled aluminium alloy channel sections are manufactured using a cold-rolling method that is faster and less energy-intensive than traditional methods. It reduces labor, material costs, and construction time. These sections are ideal for green and sustainable buildings due to their recyclability, lightweight nature, and corrosion resistance, making them suitable for various structural applications. This project guides you in using Abaqus for numerical analysis of cold rolled aluminium alloy channel columns to ensure their safety and performance under various loads. This enables you to achieve accurate designs for these members, preventing structural failures, inefficiencies, and increased costs.

Seismic Analysis in Post-Tensioned Concrete Gravity Dam Design Using Abaqus Subroutines

 190.0
This project investigates the seismic analysis of post-tensioned concrete gravity dams. To achieve this, we utilized ABAQUS CAE with the UEL (User Element) subroutine. The project enhances the simulation of complex structural interactions, including inclined anchors and weak joints, which are crucial elements in concrete gravity dam design. Specifically, it provides a detailed comparison between transient and pseudo-static analysis results. This comparison is essential for understanding how the dynamic responses and structural behavior of these dams under seismic conditions can be effectively modeled and validated within the broader scope of concrete gravity dam design. Moreover, the project offers insights into potential debonding issues and their impact on post-tensioning forces, which are critical considerations in concrete gravity dam design. This research benefits civil engineers and academics by advancing the methodologies used for designing and analyzing the resilience of gravity dams, particularly in earthquake-prone regions.

Fiber-based Model for High-Strength Steel Beam Analysis with Abaqus

 190.0
Designers create high-strength steel beams to enhance load-bearing capacity and reduce weight, which is crucial for seismic-resistant structures. Accurate design and High-Strength Steel Beam Analysis are essential to address local buckling and low-cycle fatigue. While experimental methods are costly, numerical simulations using tools like ABAQUS offer precise analysis and modeling capabilities. These include, for example, the stress-strain curve generation and cyclic loading protocols. This project mainly provides a tutorial on ABAQUS modeling, aimed at improving the design and analysis of high-strength steel sections. To do so, it discusses the material property definitions, plasticity models, and mesh details.

Advanced Finite Element Analysis of Off-Axis Tunnel Cracking Laminates

 0.0
(5)
The project investigates off-axis oriented tunnel cracking laminates. It focuses on cracks growing at an angle to the primary fiber direction in layered laminates. By examining factors such as ply thickness, crack spacing, and material properties, the study analyzes how these elements influence the energy release rate and mode mix during crack propagation. The project employs Abaqus CAE, along with UEL and UMAT subroutines, to model and analyze these cracks. It offers comprehensive insights into crack growth mechanics under various loading conditions. Moreover, a Python script is used to automate the entire simulation process. It handles tasks such as geometry creation, defining model properties, setting boundary conditions, generating and modifying input files, and post-processing. So, it enables us to calculate crack profiles and energy release rates. The project benefits researchers, engineers, academics, and industry practitioners by providing valuable methodologies and insights into the behavior of composite materials.

Inherent strain method in Metal Additive Manufacturing simulation (using subroutines and Python scripting in Abaqus)

 250.0

Additive Manufacturing (AM), a revolutionary layer-by-layer fabrication technology, is transforming how products are designed and manufactured. This comprehensive tutorial package focuses on the Inherent Strain (IS) method, a highly efficient numerical approach for simulating the Laser Powder Bed Fusion (LPBF) process in metal additive manufacturing. The detailed thermo-mechanical simulation of the Laser Powder Bed Fusion (LPBF) for complex geometric parts requires a large number of time steps to estimate residual stress and distortion, which is not computationally cost-effective. Furthermore, based on the large thermal gradient near the heat source, the mesh size must be sufficiently small to accurately predict the induced residual stress and distortion of the deposited layers in the heat-affected zone. Therefore, applying a coupled thermo-mechanical analysis for multiple laser scans with a fine mesh model to macro-scale simulation would incur excessively large computational costs.

Additionally, the large number of degrees of freedom for each element in the mechanical analysis leads to higher complexity as well as a longer amount of processing time. Detailed thermo-mechanical analysis for an industrial component is almost impractical since it would demand hundreds of terabytes of memory and years to calculate. Therefore, to overcome the huge computational burden associated with the numerical simulation of the LPBF caused by the infinitesimal laser spot size and thousands of thin layers with a thickness at the micron level, the Inherent Strain Method in additive manufacturing has been widely used in research and commercial software.

In this tutorial, the Inherent Strain Method additive manufacturing approach is presented both theoretically and practically in Abaqus. An agglomeration approach will be considered to transfer an equivalent inherent strain from both micro-scale and macro-scale modeling strategies. The implementation of this approach is explained step by step, accompanied by various workshops in micro-scale and macro-scale models for different geometries. This training package enables you to write your subroutine codes and Python scripting, as well as have more control over the LPBF process simulation.

Viscoplasticity Abaqus Simulation Using UMAT Subroutine | Perzyna Viscoplastic Model

 270.0

Viscoplasticity describes the rate-dependent inelastic behavior of materials, where deformation depends on both stress magnitude and application speed. This concept is crucial in many engineering applications, such as designing structures under dynamic loads, modeling soil behavior during earthquakes, and developing materials with specific mechanical properties. Viscoplasticity Abaqus simulation, especially using Abaqus with UMAT subroutines, are vital for understanding, predicting, and optimizing the behavior of viscoplastic materials. This tutorial focuses on implementing the Perzyna viscoplasticity model in Abaqus. The Perzyna viscoplastic model, a strain rate-dependent viscoplasticity model, relates stress to strain through specific constitutive relations. This involves defining plastic strain rate based on stress state, internal variables, and relaxation time. The tutorial provides general UMAT codes for viscoplastic analysis, yielding results like stress fields essential for various engineering applications. These simulations help in predicting permanent deformations, assessing structural failure points, and analyzing stability under different loads, benefiting fields such as aerospace, automotive, civil engineering, and energy.

Pultrusion Crack Simulation in Large-Size Profiles | Pultrusion Abaqus

 250.0
(10)

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 crack formation (pultrusion crack simulation), material property changes, and optimization strategies for enhancing manufacturing efficiency and product quality. This research (pultrusion Abaqus) provides practical knowledge for implementing findings in real-world applications, advancing composite material production.

Elastomeric Foam Simulation Using Abaqus Subroutines

 270.0
This study focuses on modeling the mechanical behavior of open-cell, isotropic elastomeric foams. It is essential for applications in materials science and engineering. The project offers insights into designing customized elastomeric foam materials tailored for impact protection in automotive, sports equipment, and aerospace industries. Numerical simulations, using software like Abaqus, enable the prediction of complex behaviors such as hyperelasticity and viscoelasticity under various loading conditions. This finite element analysis of elastomers includes theoretical formulations for hyperelastic constitutive models based on logarithmic strain invariants, crucial for accurately describing large deformations. Practical benefits include the implementation of user-material subroutines in Abaqus, facilitating future extensions to incorporate strain-rate sensitivity, and microstructural defects analysis. This comprehensive approach equips learners with theoretical knowledge and practical tools to advance elastomeric foam simulation. Moreover, it enhances their capability to innovate and optimize materials for diverse applications.

Techniques of simulating Large and Complex models in Abaqus

 158.0
(1)
Sometimes, there is a need to simulate large or complex models in Abaqus, such as airplanes and cars. Generally, models with more than 5 million variables or take at least 12 hours to analyze are considered large. Processing such models requires a significant amount of time and energy, in addition to potential issues with modeling, loading, boundary conditions, and more. Therefore, it is necessary to find ways to simplify and accelerate the analysis of such models. In this training package, you will learn various methods to address these challenges. Dealing with large models typically involves simplifying the model, making efficient use of system resources, and minimizing CPU time. These techniques are explained in detail here. Additionally, you will be taught various techniques to aid in the management of large models, including submodeling, history output filtering, restart functionality, and parts and assemblies.

Piezoelectric simulation in Abaqus

 185.0
(1)
Piezoelectric materials exhibit a unique property known as piezoelectricity, where they can generate electric charges when subjected to mechanical stress or deformation, and conversely, deform when an electric field is applied. This phenomenon arises from their crystal structure, enabling the conversion of mechanical energy into electrical energy and vice versa. Simulating piezoelectric materials is of great importance as it allows engineers to optimize the design and performance of devices and systems that utilize these materials. Through simulations, engineers can analyze factors like stress distribution, deformation, and electrical response, aiding in performance prediction and failure analysis. Simulations also enable the study of parameter sensitivity, understanding how changes in parameters impact piezoelectric devices. This information helps in making informed design decisions and optimizing the integration of piezoelectric components into larger systems. Furthermore, simulating piezoelectric materials reduces the need for physical prototypes, saving time and costs associated with experimental setups. It enhances the understanding and development of piezoelectric technology, facilitating its widespread application in various industries. In this training package, you will learn what is a piezoelectric, types of piezoelectric, piezoelectric applications, and how to simulate piezoelectrics in Abaqus.

Full Composite fatigue Add-on (Academic and industrial usage)

 1800.0
This package is designed to instruct users on how to utilize the composite fatigue modeling Add-on, which removes the need to write a subroutine for composite fatigue modeling. Instead, users can select the composite type, input material properties, and generate the subroutine by clicking a button. The Add-on includes four types of composites, and the generated subroutine for all types is the UMAT. These four types are Unidirectional, Woven, short fiber composites (chopped), and wood. The fatigue criteria used for each type are the same as its respective package. For example, the fatigue criteria for woven composites are identical to that used in the "Simulation of woven composite fatigue in Abaqus" package. This Add-on provides a simple graphical user interface for composite fatigue modeling, which can be utilized for both academic and industrial applications.

Full Composite damage Add-on (Academic and industrial usage)

 1800.0
(15)
This package will teach you how to use the composite damage modeling Add-on. The Add-on eliminates the need for writing a subroutine for composite damage modeling. Instead, you only need to select the desired composite type, input the material properties, and click a button. The Add-on will then generate the subroutine for you. The Add-on includes four types of composites: Unidirectional, Woven, short fiber composites (chopped), and wood. The generated subroutine for all types is the VUSDFLD. The damage criteria used in each type is the same as the one used in its respective package. For instance, the damage criteria for the woven composite is identical to the one used in the "Simulation of woven composite damage in the Abaqus" package. This Add-on offers a user-friendly graphical user interface for composite damage modeling, which can be used for academic and industrial purposes.

How to use ABAQUS Documentation

 30.0

This package teach you how to simulate your customized problem by using help to find similar problems and execute them, theories, using scripts and subroutines and etc.

UGEN Subroutine in ABAQUS

 100.0

This tutorial is given the shear and bending forces as the output of the subroutine where the shell mechanical behavior is nonlinear and can only be presented on the basis of general terms of the shell matrix and such behavior is not present in the ABAQUS graphical environment.