Experimentation, Validation, and Uncertainty Analysis for Engineers

Published on 9 April 2018

<p><b>Helps engineers and scientists assess and manage uncertainty at all stages of experimentation and validation of simulations</b> </p> <p>Fully updated from its previous edition, <i>Experimentation, Validation, and Uncertainty Analysis for Engineers, Fourth Edition</i> includes expanded coverage and new examples of applying the Monte Carlo Method (MCM) in performing uncertainty analyses. Presenting the current, internationally accepted methodology from ISO, ANSI, and ASME standards for propagating uncertainties using both the MCM and the Taylor Series Method (TSM), it provides a logical approach to experimentation and validation through the application of uncertainty analysis in the planning, design, construction, debugging, execution, data analysis, and reporting phases of experimental and validation programs. It also illustrates how to use a spreadsheet approach to apply the MCM and the TSM, based on the authors’ experience in applying uncertainty analysis in complex, large-scale testing of real engineering systems.</p> <p><i>Experimentation, Validation, and Uncertainty Analysis for Engineers, Fourth Edition </i>includes examples throughout, contains end of chapter problems, and is accompanied by the authors’ website www.uncertainty-analysis.com.</p> <ul> <li>Guides readers through all aspects of experimentation, validation, and uncertainty analysis</li> <li>Emphasizes the use of the Monte Carlo Method in performing uncertainty analysis</li> <li>Includes complete new examples throughout</li> <li>Features workable problems at the end of chapters</li> </ul> <p><i>Experimentation, Validation, and Uncertainty Analysis for Engineers, Fourth Edition</i> is an ideal text and guide for researchers, engineers, and graduate and senior undergraduate students in engineering and science disciplines. Knowledge of the material in this <i>Fourth Edition</i> is a must for those involved in executing or managing experimental programs or validating models and simulations.</p>



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Publisher
Wiley
ISBN
9781119417705
Language
eng
File Size
14.43 MB
Published
9 April 2018
Available
Any
License
5 Devices