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Experimentation, Validation, and Uncertainty Analysis for Engineers, by Hugh W. Coleman, W. Glenn Steele
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This Third Edition helps you assess and manage uncertainty at all stages of experimentation and validation of simulations
In this greatly expanded Third Edition, the acclaimed Experimentation, Validation, and Uncertainty Analysis for Engineers guides readers through the concepts of experimental uncertainty analysis and the applications in validating models and simulations, solving problems experimentally, and characterizing the behavior of systems. This Third Edition presents the current, internationally accepted methodology from ISO, ANSI, and ASME standards to cover the planning, design, debugging, and execution phases of experiments. Cases in which the experimental result is determined only once or when 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. The methodology for determining uncertainty by Monte Carlo analysis is described in detail.
Knowledge of the material in this Third Edition is a must for those involved in executing or managing experimental programs or validating models, codes, and simulations. Professionals and students in disciplines spanning the full range of engineering and science will find this book an essential guide.
- Sales Rank: #583443 in Books
- Published on: 2009-07-27
- Original language: English
- Number of items: 1
- Dimensions: 9.55" h x .80" w x 6.45" l, 1.10 pounds
- Binding: Hardcover
- 336 pages
Review
"…present a logical approach to experimentation and validation through the application of uncertainty analysis in the planning, design, construction, and reporting phases of experimental and validation programs." (Book News, August 2009)
About the Author
Hugh W. Coleman, PhD, PE, is a Professor of Mechanical and Aerospace Engineering at the University of Alabama in Huntsville. W. GLENN STEELE, PhD, PE, is a Giles Distinguished Professor and the Bobby Shackouls Professor of Mechanical Engineering at Mississippi State University.
Coleman and Steele received the prestigious AIAA Ground Testing Award for "pioneering efforts in experimental uncertainty analysis with significant methodology advances and effective dissemination of knowledge through a straightforward engineering approach in their text and short course." They have served on experimental uncertainty and validation standards committees associated with ASME, AIAA, SAE, ISO, and NATO AGARD. They are both Fellows of ASME and Associate Fellows of AIAA.
Most helpful customer reviews
2 of 2 people found the following review helpful.
Good text for the topic
By Tom
The other reviewer's comment is true but irrelevant. It is a pretty boring read, but the fact is, if your instructor uses this text, then you have to use this text. Also, this is one of THE definitive texts on the subject. The text begins with methods of statistical analysis for the use in uncertainty analysis. It describes the methods for modeling and simulating error propagation (Monte Carlo Method, and Taylor Series Method), and methods to incorporate uncertainty analysis into the planning phases of experiments. It then moves into how to conduct a detailed uncertainty analysis of a major experimentation efforts.
When an engineer is presented with data, the first question he or she should ask is how good is the data. This book provides the reader with the tools needed to be able to determine a degree of goodness to a set of data.
I'd give 5 stars, but the book's too expensive. That's my only legitimate gripe about this book... but then again, there might be a reason this is the most expensive text on the subject.
0 of 0 people found the following review helpful.
Great work. This book is the reference in the topic
By Fran
Many detail examples on experiments illustrates the reader how to apply the theory. In my case due to the complexity of the subjec in which i was working on I could not find enough help for some missing points but the whole text was a great guidance and I worked through it sternly and with pleasure.
0 of 0 people found the following review helpful.
Five Stars
By D. Houck
good
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