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Training Course Descriptions
 Analyzing Noisy Data via Filtering and DSP
“This DSP seminar should be mandatory for every explicit dynamics user. Ted is a great lecturer. I have attended many seminars over the years; I believe Ted’s was one of, if not the most useful. Looking back to all the things I have done with Abaqus/Explicit, I know now that they could have been done better had I had the knowledge provided by the class and Kornucopia®."
Pedro Bastias, NACCO
- Materials Handling Group |
Objective:
This unique 3-day seminar teaches the basics of working with noisy and transient data – for both experiments and FEA simulations.
Have you struggled with noisy data from Abaqus simulations and/or experiments?
Not sure what filtering, FFT, and other DSP tools are really doing to your data?
If you work with any of the following, this course is for you!
- Simulations ranging from highly transient to vibratory to noisy quasi-static
- Implicit or Explicit Dynamics simulations: Abaqus/Standard or Abaqus/Explicit
- Experimentally measured shock, impact, failure & buckling, or other noisy events
- Noisy measurement data that needs to be converted into material models or other uses
Key Benefits
- Learn how to collect data properly to avoid aliasing, how to compute and interpret its frequency content, and then how to filter it with confidence
- Seminar taught in the language of Mechanical Engineering with many relevant examples and workshops of FEA and experimental measurements from the field of nonlinear structural mechanics
- Improve all types of explicit simulations including impact, buckling, failure, sliding contact, and quasi-static analyses
- Perform modal transient solutions better and more efficiently
- Enhance usefulness of measured material data for improved material laws
- Obtain better correlations between tests and FEA simulations
- Save time and money by more efficiently and accurately using FEA and tests on challenging problems
>> Watch a brief 4 minute video overview of the seminar with examples
What is DSP?
DSP (Digital Signal Processing) is a powerful technology that can significantly improve interpretation of results and overall accuracy for noisy Abaqus analyses and experimental data. DSP includes techniques such as Fourier analysis (FFT, PSD, windowing…), lowpass filtering to remove noise, highpass filtering to remove drifting, plus many other important aspects of data analysis.
Attend this seminar to learn about filtering and DSP features available in Abaqus and Kornucopia® as well as the general use of DSP for experimental correlation of your simulations and improving the analysis of measured material data for improved material law creation. Topics presented will help answer your DSP questions and unlock this powerful technology for many of your applications. The seminar blends lectures and workshops utilizing simplified "teaching examples" and real-world applications, all supported with theoretical background and pragmatic guidelines.
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 (Avoiding aliasing, filtering, and more)
- Motivation for using DSP with simulation and experimental data
- Workshop 1 – experiencing common DSP errors
- DSP fundamentals
- Collecting (sampling) data and aliasing
- Fourier analysis (FFT, PSD, windowing, etc.)
- Filtering basics (lowpass, highpass, IIR, FIR)
- Avoiding filter-induced distortions
- Decimation and upsampling
- DSP features in Abaqus and Kornucopia®
- Workshops
- Learning to use DSP functions with simple signals
- Computing derivatives & integrals from noisy data
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Day 2 |
Applications of DSP to Abaqus analyses and experiments (Part 1)
- Review of DSP fundamentals, solidifying key concepts
- Developing a DSP strategy for a given problem
- Working with experimental data and validation of simulation and/or experimental results
- DSP using various software
- Working with transient-dynamic events
- Workshop – Transient impact analysis
- Workshop – Salvaging shock data via hp filtering
- Workshop – Penetration problem (comparing multiple models to tests)
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Day 3
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Applications of DSP to Abaqus analyses and experiments (Part 2)
- Working with quasi-static models created using transient simulation techniques.
- Workshop – Quasi-static sliding contact problem
- Working with noisy and challenging material measurement data to create viable material laws
- Workshop – Creating elastic/plastic material law
- Workshop – Cleaning problematic hysteresis data
- Improving the modeling of failure
- Workshop – Analyzing failure/crack propagation
- Summary of best practices
- Further exploration of workshops or analyzing participants own Abaqus models and/or experimental data under the guidance of the course Instructor (as time permits)
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About the presenter:
Ted Diehl, Ph.D. has been an active participant in the nonlinear mechanics community for over 20 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.
Copyright© 2006-2010, Bodie Technology, Inc, All Rights Reserved
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