Top 5 SIMULIA Best Practices for February 2023

As we have recently started the New Year, it’s a great time to relook at the Top 5 SIMULIA Best Practices for February 2023.

This list contains the most viewed and downloaded SIMULIA Best Practices for February 2023 that have been published in Knowledge Base.


Rank

Best Practice

1

Simulation Using the Iterative Solver Technology in Abaqus

2

Flexible Multibody Simulation

3

Simulation Attributes in Simulation Process Automation

4

Access Advanced Abaqus Features Using 3DEXPERIENCE R2022x SIMULIA Apps

5

Using Nastran Structural Models in Abaqus


1. Simulation Using the Iterative Solver Technology in Abaqus

This document describes best practices for a new, state-of-the-art iterative linear equation solver in Abaqus/Standard and the 3DEXPERIENCE structural simulation apps.

The new solution capability is based on an original, unpublished proprietary algorithm developed for reliability and efficiency. A scalable parallel implementation results in a very fast, low memory consumption solver well suited for very large models.

The iterative solver is best suited to models with certain characteristics. This Best Practices document provides usage guidelines and strategies to help you best use this technology. This document is applicable to all releases from 3DEXPERIENCE R2022x and above.

Target Audience: Structural and Mechanical Analysts that develop large, computationally intensive finite element models.





2. Flexible Multibody Simulation

SIMULIA Simpack is a Multibody Simulation (MBS) software for dynamic analysis of mechanical systems. Multibody Simulation allows an analyst to study the kinematic behavior of a system or to identify forces acting between two components at a much lower computational cost than a Finite Element Analysis.

Flexible Multibody Simulation is an elegant approach that combines the benefits of the traditional MBS approach with the high fidelity provided by the Finite Element method.

This document provides an overview of model reduction techniques, preparation of FE model, types of couplings, substructure generation steps, quality check of FBI files, and the best solver settings suitable for Flexible Multibody Simulation.

Target Audience: Analysts, Consultants and Tech Support.





3. Simulation Attributes in Simulation Process Automation

In 3DEXPERIENCE applications, an attribute is a characteristic of an object (or an item). For example, part attributes can include Description, Weight, and Material Category. ‘Simulation Attribute’ is a variable that describes a simulation object, such as the ‘Simulation Process’ or ‘Simulation Activity’. And, a ‘Simulation Attribute’ group refers to a set of ‘Simulation Attributes’.

This document presents a use case of a Tire manufacturer using ‘Simulation Attributes’ to characterize the ‘Simulation Processes’ created in the 3DEXPERIENCE platform based on the ‘Tire Serial Number’.

Target Audience: Methods developers, and users creating, running and reviewing Simulation Processes.





4. Access Advanced Abaqus Features Using 3DEXPERIENCE R2022x SIMULIA Apps

This Best Practices document demonstrates the use of advanced Abaqus features authored by a Mechanical Analyst using the External Solve feature of the Physics Simulation app.

The Physics Simulation is exported as an Abaqus Input file and is updated interactively with additional Abaqus keywords using a simulation process authored in the simulation templates in the Process Composer app. The updated Abaqus Input file is executed using the Compute Orchestration Service. The results are imported back into the 3DEXPERIENCE Physics Results app for post-processing.

Target Audience: Design Engineers, Mechanical Analysts, CFD Analysts, Methods Developers, and so on.





5. Using Nastran Structural Models in Abaqus

It is not uncommon for analysts to build workflows incorporating multiple software packages. For structural simulations, the capabilities of Abaqus and Nastran can be combined through the use of matrices. In particular, the linear structural models from Nastran may be brought into Abaqus in matrix form for additional linear or non-linear analyses.


This document provides two workflows for translating the Nastran structural models to Abaqus.


Target Audience: Analysts that are generating Abaqus substructures from Nastran matrix data in either OP2 (binary) or DMIG (text) form.


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