Experimentation, validation, and uncertainty analysis for engineers /
By: Coleman, Hugh W
Title By: Steele, W. Glenn
Material type: BookPublisher: Hoboken, USA : John Wiley, c2018.Edition: 4th ed.Description: xvi, 368 p. : ill. ; 22 cm.ISBN: 9781119417514Subject(s): Engineering -- Experiments | UncertaintyDDC classification: 620.0072 CO EX Online resources: Location MapItem type | Home library | Call number | Status | Notes | Date due | Barcode | Item holds |
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REGULAR | University of Wollongong in Dubai Main Collection | 620.0072 CO EX (Browse shelf) | Available | Oct2018 | T0060631 |
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620.00688 YO MA Marketing technology as a service : | 620.0071073 BI GI Girls coming to tech! : | 620.00711 ED UC Educating the engineer of 2020 : | 620.0072 CO EX Experimentation, validation, and uncertainty analysis for engineers / | 620.00727 JO DE Decisions under uncertainty : | 620.1 FA ME Mechanics for engineering | 620.1 FU ND Fundamentals of engineering mechanics for ENGG102 and ENGG100 |
First edition entitled: Experimentation and uncertainty analysis for engineers.
Includes bibliographical references and index.
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.