Experimentation, Validation, and Uncertainty Analysis for Engineers / Edition 3

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Overview

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.

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Editorial Reviews

From the Publisher
"…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)
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Product Details

  • ISBN-13: 9780470168882
  • Publisher: Wiley
  • Publication date: 7/27/2009
  • Edition description: New Edition
  • Edition number: 3
  • Pages: 336
  • Sales rank: 654,918
  • Product dimensions: 6.30 (w) x 9.30 (h) x 0.80 (d)

Meet 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.

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Table of Contents

1 Experimentation, Errors, and Uncertainty 1

2 Errors and Uncertainties in a Measured Variable 29

3 Uncertainty in a Result Determined from Multiple Variables 61

4 General Uncertainty Analysis: Planning an Experiment and Application in Validation 85

5 Detailed Uncertainty Analysis: Designing, Debugging, and Executing an Experiment 121

6 Validation Of Simulations 193

7 Data Analysis, Regression, and Reporting of Results 217

Appendix A Useful Statistics 251

Appendix B Taylor Series Method (TSM) for Uncertainty Propagation 257

Appendix C Comparison of Models for Calculation of Uncertainty 271

Appendix D Shortest Coverage Interval for Monte Carlo Method 283

Appendix E Asymmetric Systematic Uncertainties 285

Appendix F Dynamic Response of Instrument Systems 299

Index 309

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