© 2011

Dimensional Analysis


Table of contents

  1. Front Matter
    Pages i-xiii
  2. J.C. Gibbings
    Pages 1-23
  3. J.C. Gibbings
    Pages 25-54
  4. J.C. Gibbings
    Pages 55-82
  5. J.C. Gibbings
    Pages 83-93
  6. J.C. Gibbings
    Pages 95-114
  7. J.C. Gibbings
    Pages 115-147
  8. J.C. Gibbings
    Pages 149-177
  9. J.C. Gibbings
    Pages 179-218
  10. J.C. Gibbings
    Pages 219-254
  11. J.C. Gibbings
    Pages 255-271
  12. J.C. Gibbings
    Pages 273-284
  13. Back Matter
    Pages 285-297

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.


Dimensions Experimental Analysis Experimental Design Model Testing Units

Authors and affiliations

  1. 1.Department of EngineeringUniversity of LiverpoolLiverpoolUK

About the authors

J. C. Gibbings is Professor Emeritus of the University of Liverpool, Liverpool, UK. He has written numerous papers and books, including several on dimensional analysis.

Bibliographic information

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