Experimentation Validation and Uncertainty Analysis for Engineers

Experimentation  Validation  and Uncertainty Analysis for Engineers

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.

Author: Hugh W. Coleman

Publisher: John Wiley & Sons

ISBN: 9781119417514

Category: Technology & Engineering

Page: 384

View: 431

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.
Categories: Technology & Engineering

Experimentation and Uncertainty Analysis for Engineers

Experimentation and Uncertainty Analysis for Engineers

Now, in the only manual available with direct applications to the design and analysis of engineering experiments, respected authors Hugh Coleman and Glenn Steele have thoroughly updated their bestselling title to include the new ...

Author: Hugh W. Coleman

Publisher: John Wiley & Sons

ISBN: 0471121460

Category: Technology & Engineering

Page: 275

View: 388

Now, in the only manual available with direct applications to the design and analysis of engineering experiments, respected authors Hugh Coleman and Glenn Steele have thoroughly updated their bestselling title to include the new methodologies being used by the United States and International standards committee groups.
Categories: Technology & Engineering

Experimentation Validation and Uncertainty Analysis for Engineers

Experimentation  Validation  and Uncertainty Analysis for Engineers

3 Uncertainty in a Result Determined from Multiple Variables 71 3-1 General Uncertainty Analysis vs. Detailed Uncertainty Analysis, 72 3-2 Monte Carlo Method for Propagation of Uncertainties, 73 3-2.1 Using the MCM in General ...

Author: Hugh W. Coleman

Publisher: John Wiley & Sons

ISBN: 9781119417668

Category: Technology & Engineering

Page: 384

View: 794

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.
Categories: Technology & Engineering

Experimental Uncertainty Analysis A Textbook for Science and Engineering Students

Experimental Uncertainty Analysis  A Textbook for Science and Engineering Students

Using uncertainty analysis in the planning of an experiment. ... American National Standards Institute/American Society of Mechanical Engineers (ASME). ... Experimentation, Validation, and Uncertainty Analysis for Engineers.

Author: Supreet Singh Bahga

Publisher: Supreet Singh Bahga

ISBN: 9781636402321

Category: Technology & Engineering

Page: 186

View: 114

Uncertainties are inevitable in any experimental measurement. Therefore, it is essential for science and engineering graduates to design and develop reliable experiments and estimate the uncertainty in the measurements. This book describes the methods and application of uncertainty analysis during the planning, data analysis, and reporting stages of an experiment. This book is aimed at postgraduate and advanced undergraduate students of various branches of science and engineering. The book teaches methods for estimating random and systematic uncertainties and combining them to determine the overall uncertainty in a measurement. In addition, the method for propagating measurement uncertainties in the calculated result is discussed. The book also discusses methods of reducing the uncertainties through proper instrumentation, data acquisition, and experiment planning. This book provides detailed background and assumptions underlying the uncertainty analysis techniques for the reader to understand their applicability. Various solved examples are provided to demonstrate the application of the uncertainty analysis techniques. The exercises at the end of the chapters have been chosen carefully to reinforce the concepts discussed in the text.
Categories: Technology & Engineering

Model Validation and Uncertainty Quantification Volume 3

Model Validation and Uncertainty Quantification  Volume 3

ASME, New York (2009) 3. ASME Performance Test Codes Supervisory Committee: ASME PTC 19.1–2013: Test Uncertainty. ASME, New York (2013) 4. Coleman, H.W., Steele, W.G.: Experimentation, Validation, and Uncertainty Analysis for Engineers, ...

Author: Robert Barthorpe

Publisher: Springer

ISBN: 9783319747934

Category: Technology & Engineering

Page: 312

View: 275

Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 36th IMAC, A Conference and Exposition on Structural Dynamics, 2018, the third volume of nine from the Conference brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Model Validation and Uncertainty Quantification, including papers on: Uncertainty Quantification in Material Models Uncertainty Propagation in Structural Dynamics Practical Applications of MVUQ Advances in Model Validation & Uncertainty Quantification: Model Updating Model Validation & Uncertainty Quantification: Industrial Applications Controlling Uncertainty Uncertainty in Early Stage Design Modeling of Musical Instruments Overview of Model Validation and Uncertainty
Categories: Technology & Engineering

Uncertainty Analysis of Experimental Data with R

Uncertainty Analysis of Experimental Data with R

S. J. Kline and F. A. McClintock, Describing the uncertainties in single sample experiments, Mechanical Engineering, 75, 3–8 (1953). 4. H. W. Coleman and W. G. Steele, Experimentation, Validation, and Uncertainty Analysis for Engineers, ...

Author: Benjamin David Shaw

Publisher: CRC Press

ISBN: 9781498797337

Category: Mathematics

Page: 196

View: 558

"This would be an excellent book for undergraduate, graduate and beyond....The style of writing is easy to read and the author does a good job of adding humor in places. The integration of basic programming in R with the data that is collected for any experiment provides a powerful platform for analysis of data.... having the understanding of data analysis that this book offers will really help researchers examine their data and consider its value from multiple perspectives – and this applies to people who have small AND large data sets alike! This book also helps people use a free and basic software system for processing and plotting simple to complex functions." Michelle Pantoya, Texas Tech University Measurements of quantities that vary in a continuous fashion, e.g., the pressure of a gas, cannot be measured exactly and there will always be some uncertainty with these measured values, so it is vital for researchers to be able to quantify this data. Uncertainty Analysis of Experimental Data with R covers methods for evaluation of uncertainties in experimental data, as well as predictions made using these data, with implementation in R. The books discusses both basic and more complex methods including linear regression, nonlinear regression, and kernel smoothing curve fits, as well as Taylor Series, Monte Carlo and Bayesian approaches. Features: 1. Extensive use of modern open source software (R). 2. Many code examples are provided. 3. The uncertainty analyses conform to accepted professional standards (ASME). 4. The book is self-contained and includes all necessary material including chapters on statistics and programming in R. Benjamin D. Shaw is a professor in the Mechanical and Aerospace Engineering Department at the University of California, Davis. His research interests are primarily in experimental and theoretical aspects of combustion. Along with other courses, he has taught undergraduate and graduate courses on engineering experimentation and uncertainty analysis. He has published widely in archival journals and became an ASME Fellow in 2003.
Categories: Mathematics

Handbook of Fluid Dynamics

Handbook of Fluid Dynamics

Engineering application of experimental uncertainty analysis. AIAA Journal. 33(10):1888–1896. Coleman, H. W. and Steele, W. G. 2009. Experimentation, Validation, and Uncertainty Analysis for Engineers, Third Edition, Wiley, New York.

Author: Richard W. Johnson

Publisher: CRC Press

ISBN: 9781439849576

Category: Science

Page: 1580

View: 326

Handbook of Fluid Dynamics offers balanced coverage of the three traditional areas of fluid dynamics-theoretical, computational, and experimental-complete with valuable appendices presenting the mathematics of fluid dynamics, tables of dimensionless numbers, and tables of the properties of gases and vapors. Each chapter introduces a different fluid
Categories: Science

27th European Symposium on Computer Aided Process Engineering

27th European Symposium on Computer Aided Process Engineering

J.W. Coleman and E. G. Steele, 2009, Experimentation, Validation, and Uncertainty Analysis for Engineers, John Wiley & Sons, New York ISBN 978-0-470-16888-2 T. Doiron, and J. Stoup, 1997, Uncertainty and Dimensional Calibrations, ...

Author:

Publisher: Elsevier

ISBN: 9780444639707

Category: Science

Page: 3042

View: 710

27th European Symposium on Computer Aided Process Engineering, Volume 40 contains the papers presented at the 27th European Society of Computer-Aided Process Engineering (ESCAPE) event held in Barcelona, October 1-5, 2017. It is a valuable resource for chemical engineers, chemical process engineers, researchers in industry and academia, students, and consultants for chemical industries. Presents findings and discussions from the 27th European Society of Computer-Aided Process Engineering (ESCAPE) event
Categories: Science

Sustainable Development and Innovations in Marine Technologies

Sustainable Development and Innovations in Marine Technologies

Coleman, H. W. and Steele, W. G. (2018) Experimentation, validation, and uncertainty analysis for engineers. John Wiley & Sons. Cook, S. S. (2011) 'Effects of headwinds on towing tank resistance and PMM tests for ONR Tumblehome'.

Author: Petar Georgiev

Publisher: CRC Press

ISBN: 9781000751055

Category: Technology & Engineering

Page: 636

View: 187

Sustainable Development and Innovations in Marine Technologies includes the papers presented at the 18th International Congress of the Maritime Association of the Mediterranean (IMAM 2019, Varna, Bulgaria, 9-11 September 2019). Sustainable Development and Innovations in Marine Technologies includes a wide range of topics: Aquaculture & Fishing; Construction; Defence & Security; Design; Dynamic response of structures; Degradation/ Defects in structures; Electrical equipment of ships; Human factors; Hydrodynamics; Legal/Social aspects; Logistics; Machinery & Control; Marine environmental protection; Materials; Navigation; Noise; Non-linear motions – manoeuvrability; Off-shore and coastal development; Off-shore renewable energy; Port operations; Prime movers; Propulsion; Safety at sea; Safety of Marine Systems; Sea waves; Seakeeping; Shaft & propellers; Ship resistance; Shipyards; Small & pleasure crafts; Stability; Static response of structures; Structures, and Wind loads. The IMAM series of Conferences started in 1978 when the first Congress was organised in Istanbul, Turkey. IMAM 2019 is the eighteenth edition, and in its nearly forty years of history, this biannual event has been organised throughout Europe. Sustainable Development and Innovations in Marine Technologies is essential reading for academics, engineers and all professionals involved in the area of sustainable and innovative marine technologies.
Categories: Technology & Engineering

The Art of Measuring in the Thermal Sciences

The Art of Measuring in the Thermal Sciences

Experimentation, Validation, and Uncertainty Analysis for Engineers, Fourth Edition. Wiley, New York. DIN 1319-1:1995-01, Fundamentals of metrology – Part 1: Basic terminology. Grabe, M. 2007. Ten theses for a new GUM, Poster Paper, ...

Author: Josua Meyer

Publisher: CRC Press

ISBN: 9780429513725

Category: Science

Page: 464

View: 280

The Art of Measuring in the Thermal Sciences provides an original state-of-the-art guide to scholars who are conducting thermal experiments in both academia and industry. Applications include energy generation, transport, manufacturing, mining, processes, HVAC&R, etc. This book presents original insights into advanced measurement techniques and systems, explores the fundamentals, and focuses on the analysis and design of thermal systems. Discusses the advanced measurement techniques now used in thermal systems Links measurement techniques to concepts in thermal science and engineering Draws upon the original work of current researchers and experts in thermal-fluid measurement Includes coverage of new technologies, such as micro-level heat transfer measurements Covers the main types of instrumentation and software used in thermal-fluid measurements This book offers engineers, researchers, and graduate students an overview of the best practices for conducting sound measurements in the thermal sciences.
Categories: Science