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Coleman, Hugh W.

Experimentation, Validation, and Uncertainty Analysis for Engineers

Coleman, Hugh W. - Experimentation, Validation, and Uncertainty Analysis for Engineers, ebook

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ISBN: 9781119417668
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Helps engineers and scientists assess and manage uncertainty at all stages of experimentation and validation of simulations

Fully updated from its previous edition, Experimentation, Validation, and Uncertainty Analysis for Engineers, Fourth Edition 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.

Experimentation, Validation, and Uncertainty Analysis for Engineers, Fourth Edition includes examples throughout, contains end of chapter problems, and is accompanied by the authors’ website www.uncertainty-analysis.com.

  • Guides readers through all aspects of experimentation, validation, and uncertainty analysis
  • Emphasizes the use of the Monte Carlo Method in performing uncertainty analysis
  • Includes complete new examples throughout
  • Features workable problems at the end of chapters

Experimentation, Validation, and Uncertainty Analysis for Engineers, Fourth Edition 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 Fourth Edition is a must for those involved in executing or managing experimental programs or validating models and simulations.

Keywords:

guide to uncertainty analysis; decision-making; experimental uncertainty assessment; experimental uncertainty estimates; experimental uncertainty estimation; design of experiments; model prediction; determining the reliability of model predictions; engineering; uncertainty in model input and design; guide to uncertainty; the Monte Carlo Method; experimentation and validation; uncertainty analysis for validation programs; ISO standards; ANSI standards; ASME standards

, Engineering Statistics, Computational / Numerical Methods, Engineering Statistics, Computational / Numerical Methods
Author(s)
 
Publisher
John Wiley and Sons, Inc.
Publication year
2018
Language
en
Edition
4
Page amount
384 pages
Category
Technology, Energy, Traffic
Format
Ebook
eISBN (PDF)
9781119417668
Printed ISBN
9781119417514

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