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Training Course Descriptions

Improving Abaqus/Explicit Analyses via Filtering and DSP

Objective:

Abaqus/Explicit is a nonlinear FEA software package capable of simulating a broad class of mechanics problems ranging from transient-dynamic and quasi-static. It is especially useful in problems that have severe nonlinearities and/or problems that exhibit convergence problems with implicit FEA approaches (such as Abaqus/Standard). However, the explicit transient nature of Abaqus/Explicit solutions often create significant noise in the results, making evaluation of the simulation difficult and sometime apparently impossible, especially if the user is unaware of how to properly process noisy data.

DSP (Digital Signal Processing) is a powerful technology that can significantly improve interpretation of results and overall accuracy for Abaqus analyses. DSP includes techniques such as lowpass filtering to remove noise, plus many other important aspects of data analysis. For structural mechanics problems, DSP is often not used to its fullest potential, or sometimes misused altogether.

Attend this 2-day course to learn about filtering and DSP features available in Abaqus as well as the general use of DSP for experimental correlation of your simulations. Materials presented will help answer your DSP questions and unlock this powerful technology for many of your applications.
The course blends lectures and workshops utilizing simplified "teaching examples" and real-world applications, all supported with theoretical background and pragmatic guidelines. During the lectures and workshops users will learn:

DSP fundamentals, avoiding aliasing, and applying low pass filters
How to best apply new V6.7 DSP features on both transient-dynamic and quasi-static Abaqus/Explicit models
- improve results interpretation
- compute many quasi-static models twice as fast or faster
- reduce file sizes for results
How to properly interpret experimental data from transient-dynamic measurements and obtain improved correlations with models
How to use Abaqus/Explicit more often to solve challenging problems.

Who should attend:

This course is recommended for engineers and scientists with experience using Abaqus/Explicit and Abaqus/Viewer (Abaqus/Standard is optional). No previous knowledge of DSP or filtering is necessary.

Agenda (May vary with location)

Day 1

Basic Concepts of DSP

Motivation for using DSP with simulation
- Workshop 1 – Hands-on motivation
DSP fundamentals
DSP features in Abaqus
- Workshop 2 –Learning Abaqus DSP tools using simple signals

Day 2

Applications of DSP to Abaqus analyses

Developing a DSP strategy for a given problem
Working with transient-dynamic models
- Workshop 3 & 4 – Transient impact & penetration problems
Working with quasi-static models
- Workshop 5 – Quasi-static sliding contact problem
Improving the modeling of failure
- Workshop 6 – Failure and crack propagation in a DCB
Experimental data and model validation
Summary of DSP best practices

About the presenter:

Ted Diehl, Ph.D. has been an active participant in the nonlinear mechanics community for over 19 years, representing companies in several industries. His primary focus is developing methods to solve industrial problems through a creative, yet pragmatic, mix of experimental, computational, and theoretical approaches. Ted pioneered many FEA-oriented digital signal processing (DSP) algorithms, initially for use in cell-phone impact mechanics. He later expanded those DSP approaches to a vast array of explicit dynamics modeling issues such as difficult quasi-static analyses and failure simulations. A few of his many industrial successes include development of Abaqus-based methods to analyze copier sheet mechanics, efficient and robust methods for simulating fabrics under severe loading, improved utilization of cohesive elements, and many novel experimental and modeling methods to quantify nonlinear material and structural response.

Some Additional Details

DSP is the mathematics and techniques of manipulating and interpreting data signals in a digital form. It includes techniques like filtering, data collection (output), alias avoidance, and much more. Most quasi-static and transient-dynamic Abaqus solutions are based on time or pseudo-time incrementation. Therefore, their computed results are subject to the laws of DSP. DSP can transform uninterruptible data that may occur in these models into clear and accurate results.

Ever experienced any of these problems?

Difficulty comparing Abaqus-computed transient impact/shock analysis results to accelerometer and/or strain data measured from an experiment.

Both the Abaqus model and Experiment might actually agree, BUT various DSP-related distortions exist in BOTH the model and experiment.
Learn how to use DSP to improve correlations and correct possible problems in BOTH Abaqus results and experimental measurements.

Convergence difficulties in ABAQUS/Standard that run much better in Abaqus/Explicit, but portions of the Abaqus/Explicit solutions make no sense.

Solution noise and/or aliasing in Abaqus/Explicit solutions can cause results to appear distorted or invalid.
Learn how to avoid aliasing errors and apply appropriate filtering to significantly improve results interpretation; enabling easier use of the robust Abaqus/Explicit method for many more problems!

Abaqus/Explicit simulations on many quasi-static problems compute too slowly.

To get noise-free, quasi-static results, loading must be "sufficiently slow".
Learn how utilizing DSP for results interpretation may allow you to run the job twice as fast, or more!

Abaqus/Explicit can produce huge output databases and difficult to handle history data.

Output history data for points of interest might be stored at every increment to avoid aliasing. This can create very large files that are difficult to manipulate with other analysis tools like spreadsheets.
Learn how to use DSP tools available directly in Abaqus/Explicit to reduce files sizes and data-set lengths by 10X or more!

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