Dr. François Hemez has over 10 years of experience in the discipline of Verification and Validation (V&V) and its application to structural dynamics and computational physics. His experience includes finite element model updating for both linear and nonlinear structural dynamics models, code and solution verification, sensitivity analysis, uncertainty quantification, and decision-making. Dr. Hemez has taught the first-ever graduate course on V&V offered in a U.S. University at the University of California San Diego during the spring of 2006. Dr. Hemez is currently a Technical Staff Member of the Verification Team at the Los Alamos National Laboratory.
Dr. Charles “Chuck” Farrar is a world leader in the disciplines of Structural Health Monitoring (SHM) and damage prognosis, where he has pioneered the role of statistical pattern recognition and validated simulations. Dr. Farrar has developed SHM solutions for a variety of engineering applications, many of which are integrated to the course he teaches on SHM at the University of California San Diego. Dr. Farrar has been working at Los Alamos National Laboratory since 1983 where he is the director of the Engineering Institute that develops a multi-disciplinary research and educational program in damage detection, model validation, and life-cycle engineering.
A 2-Day Short Course for Aerospace, Civil and Mechanical Engineers from Oct. 27-28, 2008
Offered in conjunction with the NAFEMS 2008 Regional Summit
How closely do predictions match the real-world response of the structure?
Is the discretization sufficient to asymptotically converge the numerical solution?
How much do errors in model input parameters impact the accuracy of predictions?
Which of the input parameters have the greatest influence on prediction quantities of interest?
When an engineer or analyst builds a finite element model, the results should be trustworthy. But how does one know (and prove quantitatively) that the predictions can be believed with a given level of confidence? Recent research in the areas of solution verification, finite element model validation, sensitivity analysis, uncertainty analysis, and test-analysis correlation has led to the development of a methodology to answer these questions and more, enabling one to use his/her finite element model predictions with confidence. This course will provide an overview of the latest technology for evaluating and improving the accuracy and validity of linear and non-linear finite element models. The course provides a blend of research and real-world applications in the fields of aerospace, automotive, and civil engineering.
Upon completion of this course, attendees will be able to:
Upon completion of this course, attendees will have learned:
Sample course notes at www.la-dynamics.com .
Please direct questions to email@example.com .
The instructors will assume a basic knowledge of structural mechanics, dynamics, and mathematics, such as that obtained in a bachelor’s level aerospace, civil, or mechanical engineering program. To ensure top-quality content, the instructors reserve the right to alter the course schedule. Los Alamos Dynamics is an independent company, not affiliated with the Los Alamos National Laboratory.
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NAFEMS Travel Policy : NAFEMS is not responsible for the purchase of non-refundable airline tickets or the cancellation/change fees associated with canceling a flight. Please call to confirm that the course is running before purchasing airline tickets. NAFEMS retains the right to cancel a course up to 3 weeks before scheduled presentation date.
Members Price: £663 | $1000 | €773
Non-Members Price: £994 | $1500 | €1160
Order Ref: VandV_NAFEMS_NA_2008
Event Type: Course
Location: Hampton, Virginia USA
Date: October 27, 2008
2. Historical Overview
3. Code and Calculation Verification
4. Extraction of Response Features
5. Overview of Probability and Statistics
6. Local and Global Sensitivity Analysis
8. Quantification of Uncertainty
9. Design of Validation Experiments
10. Test/Analysis Correlation
11. Model Updating and Revision
12. Examples of Model Validation Studies