Overview
Covers in book form for the first time important developments of the last 3 decades
Includes examples for which the answer does not already exist from standard analysis
Written by an expert
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Table of contents (11 chapters)
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Front Matter
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Back Matter
Keywords
About this book
For experiments, dimensional analysis enables the design, checks the validity, orders the procedure and synthesises the data. Additionally it can provide relationships between variables where standard analysis is not available.
This widely valuable analysis for engineers and scientists is here presented to the student, the teacher and the researcher. It is the first complete modern text that covers developments over the last three decades while closing all outstanding logical gaps. Dimensional Analysis also lists the logical stages of the analysis, so showing clearly the care to be taken in its use while revealing the very few limitations of application. As the conclusion of that logic, it gives the author's original proof of the fundamental and only theorem.
Unlike past texts, Dimensional Analysis includes examples for which the answer does not already exist from standard analysis. It also corrects the many errors present in the existing literature by including accurate solutions.
Dimensional Analysis is written for all branches of engineering and science as a teaching book covering both undergraduate and postgraduate courses, as a guide for the lecturer and as a reference volume for the researcher.
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Dimensional Analysis
Authors: J.C. Gibbings
DOI: https://doi.org/10.1007/978-1-84996-317-6
Publisher: Springer London
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag London 2011
Hardcover ISBN: 978-1-84996-316-9Published: 21 January 2011
Softcover ISBN: 978-1-4471-5700-7Published: 26 September 2014
eBook ISBN: 978-1-84996-317-6Published: 11 February 2011
Edition Number: 1
Number of Pages: XIII, 297
Topics: Analysis, Mathematical and Computational Engineering, Mechanical Engineering