Coleman & Steele

recipients of the prestigious AIAA Ground Testing Award for

"pioneering efforts in experimental uncertainty analysis with significant methodology advances and effective dissemination of knowledge through a straight-forward engineering approach in their text and short-course."

**** Sign up for special 1-Day Course May 11, 2011 at the PIV Uncertainty Workshop in Las Vegas ****

   *****THE TEXT*****

3rd Edition Table of Contents

*****THE 2-DAY SHORT COURSE*****

Professors Hugh W. Coleman and W. Glenn Steele have updated their cutting-edge, comprehensive, two-day course to include material from the (2009) third edition of their award-winning book and from the (2009) Standard ASME V&V20-2009: Standard for Verification and Validation in Computational Fluid Dynamics and Heat Transfer. 

The course presents experimental uncertainty analysis concepts and techniques based on

     · the 1995 ISO Guide to the Expression of Uncertainty 

        in Measurement (GUM),

     · the 2005 standard ASME PTC19.1 Test Uncertainty, and

    · the 2008 JCGM Supplement 1 to the GUM:  Evaluation

       of Measurement Data – Propagation of Distributions

       Using a Monte Carlo Method

in a well-paced sequence honed in over 90 previous presentations to participants at companies, research laboratories, and government centers and institutes in the United States, Canada, Europe, and South America.

 ***THE UPDATED SHORT COURSE***

Experimentation, Validation and Uncertainty Analysis

 Typical Class Schedule       About the Instructors

Coleman and Steele have updated their cutting-edge, comprehensive, two-day course to include material from the (2009) 3^rd edition of their award-winning book and from the (2009) Standard ASME V&V20-2009: Standard for Verification and Validation in Computational Fluid Dynamics and Heat Transfer.  The course presents experimental uncertainty analysis concepts and techniques based on

          · the 1995 ISO Guide to the Expression of Uncertainty in Measurement (GUM),

          · the 2005 standard ASME PTC19.1 Test Uncertainty, and

          · the 2008 JCGM Supplement 1 to the GUM:  Evaluation of Measurement Data – Propagation

               of Distributions Using a Monte Carlo Method

in a well-paced sequence honed in over 90 previous presentations to participants at companies, research laboratories, and government centers and institutes in the United States, Canada, Europe, and South America.   

The course covers the planning, design, debugging, and execution of experiments used to validate a model or simulation, solve a particular problem, or experimentally characterize the behavior of a system.  Cases in which the experimental result is determined only once and in which the result is determined multiple times in a test are addressed and illustrated with examples from the authors’ experience.  The important practical cases in which multiple measured variables share correlated errors are discussed in detail, and strategies to take advantage of such effects in calibrations and comparative testing situations are presented.

   Prior Presentations (over 90 classes – more than 2000 participants):  

 -                      NASA Ames Research Center (3 classes)

-                      NASA Dryden Flight Research Center (3 classes)

-                      NASA Langley Research Center (13 classes)

-                      NASA Glenn Research Center (3 classes)

-                      NASA Marshall Space Flight Center (6 classes)

-                      NASA Stennis Space Center (2 classes)

-                      NASA Johnson Space Center

-                      NASA Kennedy Space Center (2 classes)

-                      U.S. Naval Surface Warfare Center , Carderock , MD. (23 classes)

-                      U.S. Army Waterways Experiment Station (6 classes)

-                      U.S. Army Missile Command (2 classes)

-                      U.S. Air Force Research Laboratory

-                      Sandia National Laboratory

-                      Boeing Commercial Aircraft Division (6 classes)

-                      Boeing Rocketdyne Division (3 classes)

-                      Boeing Space Systems Division (2 classes)

-                      General Electric Aircraft Engines

-                      Siemens Westinghouse Power Corporation

-                      Canadian National Research Council – Institute for Aerospace Research (2 classes)

-                      Canadian National Research Council – Institute for Marine Dynamics

-                      Embraer Aircraft – Brazil

-                      Penn State University Applied Research Laboratory

-                      Marine Research Institute (MARIN) -- Netherlands

-                      National Aerospace Laboratory (NLR) -- Netherlands

-                      Public offerings (9 classes)

If your organization might be interested in an on-site class,
  contact us  
for detailed information

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