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

✍ Scribed by Hugh W. Coleman, W. Glenn Steele

• Publisher: Wiley
• Year: 2009
• Tongue: English
• Leaves: 334
• Edition: 3
• Category: Library

✦ Synopsis

This Third Edition helps you assess and manage uncertainty at all stages of experimentation and validation of simulationsIn 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.

✦ Table of Contents

Copyright......Page 5
Table of Contents
......Page 8
Preface
......Page 16
1: Experimentation, Errors, and Uncertainty
......Page 18
2: Errors and Uncertainties in a Measured Variable
......Page 46
3: Uncertainty in a Result Determined from Multiple Variables
......Page 78
4: General Uncertainty Analysis: Planning an Experiment and Application in Validation
......Page 102
5: Detailed Uncertainty Analysis: Designing, Debugging, and Executing an Experiment
......Page 138
6: Validation of Simulations
......Page 210
7: Data Analysis, Regression, and Reporting of Results
......Page 234
APPENDIX A: USEFUL STATISTICS
......Page 268
APPENDIX B: TAYLOR SERIES METHOD (TSM) FOR UNCERTAINTY PROPAGATION1
......Page 274
APPENDIX C: COMPARISON OF MODELS FOR CALCULATION OF UNCERTAINTY
......Page 288
APPENDIX D: SHORTEST COVERAGE INTERVAL FOR MONTE CARLO METHOD
......Page 300
APPENDIX E: ASYMMETRIC SYSTEMATIC UNCERTAINTIES
......Page 302
APPENDIX F: DYNAMIC RESPONSE OF INSTRUMENT SYSTEMS
......Page 316
Index
......Page 326

✦ Subjects

Физика;Матметоды и моделирование в физике;