Experimentation Validation and Uncertainty Analysis for Engineers

Author: Hugh W. Coleman
Publisher: John Wiley & Sons
ISBN: 1119417708
Format: PDF, Docs
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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.

Experimentation and Uncertainty Analysis for Engineers

Author: Hugh W. Coleman
Publisher: John Wiley & Sons
ISBN: 9780471121466
Format: PDF, ePub
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The dramatic developments in the field of experimental uncertainty analysis over the last ten years have led to sweeping changes in applications, resulting in a new international experimental uncertainty standard. 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. Along with several new examples, this latest edition includes new material on: * The utilization of Uncertainty Magnification Factors (UMFs) and Uncertainty Percentage Contributions (UPCs) in the planning and early design phases of experiments * Refined procedures for accounting for the effects of correlated bias errors * Improved methods for accounting for the effects of asymmetric systematic uncertainties * The importance of (previously ignored) correlated random errors with an example illustrating how to account for them * Uncertainties in comparative testing * Uncertainties in the comparison of data and predictions (code validation) * Uncertainty analysis by direct Monte Carlo simulation * A new method to determine regression uncertainties that properly accounts for both random and systematic uncertainties With a step-by-step approach, engineering students as well as practicing professional engineers who analyze or design experiments will find Experimentation and Uncertainty Analysis for Engineers, Second Edition to be an invaluable reference tool.

Model Validation and Uncertainty Quantification Volume 3

Author: Robert Barthorpe
Publisher: Springer
ISBN: 3319747932
Format: PDF
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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

Uncertainty Analysis of Experimental Data with R

Author: Benjamin David Shaw
Publisher: CRC Press
ISBN: 1315342596
Format: PDF, ePub, Mobi
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"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.

Handbook of Fluid Dynamics

Author: Richard W. Johnson
Publisher: CRC Press
ISBN: 1439849579
Format: PDF, Docs
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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

Lean Startup

Author: Eric Ries
Publisher:
ISBN: 9783868813333
Format: PDF, Mobi
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Der Weg zum eigenen Unternehmen ist nie ohne Risiko. Und bis die Firma sich auf dem Markt etabliert hat, dauert es. Wer doch scheitert, verliert in der Regel viel Geld. Genau hier setzt das Konzept von Eric Ries an. Lean Startup heißt seine Methode. Sie ist schnell, ressourcenfreundlich und radikal erfolgsorientiert. Anhand von durchgespielten Szenarien kann man von vornherein die Erfolgsaussichten von Ideen, Produkten und Märkten bestimmen. Und auch während der Gründungphase wird der Stand der Dinge ständig überprüft. Machen, messen, lernen - so funktioniert der permanente Evaluationsprozess. Das spart enorm Zeit, Geld und Ressourcen und bietet die Möglichkeit, spontan den Kurs zu korrigieren. Das Lean-Startup-Tool hat sich schon zigtausenfach in der Praxis bewährt und setzt sich auch in Deutschland immer stärker durch.

Systemintegration

Author: Kurt Hoffmann
Publisher: Walter de Gruyter
ISBN: 3486720007
Format: PDF, ePub, Mobi
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In dem vorliegenden Lehrbuch wird zunächst Wissen über das grundsätzliche Verhalten der verschiedensten Bauelemente integrierter Schaltungen vermittelt. Erst dann werden die wesentlichen Schaltungstechniken für den Entwurf von digitalen und analogen CMOS- und BICMOS-Schaltungen vorgestellt. Dem Autor gelingt es schlüssig, den weiten Bogen von den Grundlagen der Physik bis zu tatsächlichen Anwendungen und der Produktion von Halbleiterschaltungen zu spannen und so einen umfassenden Überblick über den Designprozess in der Mikroelektronik zu geben.

Numerische Str mungsmechanik

Author: Joel H. Ferziger
Publisher: Springer-Verlag
ISBN: 3540682287
Format: PDF, ePub, Mobi
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Das Buch bietet einen Überblick über die numerischen Methoden zur Lösung strömungsmechanischer Probleme. Die in der Praxis meistgenutzten Methoden werden detailliert beschrieben. Behandelt werden auch fortgeschrittene Methoden, wie die Simulation von Turbulenzen und Parallel-Verarbeitung. Das Buch beschreibt die Grundlagen und Prinzipien der verschiedenen Methoden. Numerische Genauigkeit und Abschätzung sowie Fehlerreduktion werden detailliert mit vielen Beispielen behandelt. Alle Computercodes sind über den Server ftp.springer.de des Springer-Verlages erhältlich (Internet).