Computational Methods and Experimental Measurements VIII

ANAGNOSTOPOLOS, P.; CARLOMAGNO, G. M.; BREBBIA, C. A.

ISBN 10: 185312463X / ISBN 13: 9781853124631

Published by Computational Mechanics Publications, Southampton, 1997

About this Item

Eigth International Conference on Computational Methods and Experimental Meaurements. CMEM 97. 684, [6] p. 24 cm. B&w figures. Yellow hardcover. Former owner's ink stamp on front free endpaper, half title and title. Topics: stress analysis; dynamics and vibrations; fluid mechanics; coastal and wave engineering; thermal problems; modelling and measurement.

Seller Inventory # 126192

Bibliographic Details

• Title: Computational Methods and Experimental Measurements VIII
• Publisher: Computational Mechanics Publications, Southampton
• Publication Date: 1997
• Language: English
• ISBN 10: 185312463X
• ISBN 13: 9781853124631
• Binding: Hardcover
• Condition: Very good +
• Seller catalogs:
  • Science

About this title

Synopsis

This book contains the edited versions of the 66 papers presented at the Eighth International Conference on Computational Methods and Experimental Measurements, which was held in Rhodes, Greece, May 21-23, 1997. The book reviews state-of-the-art developments on the interaction between numerical methods and experimental measurements.

In spite of the recent advances in computational techniques as a result of the enormous increase in efficiency of computers, problems still exist which cannot be solved without recourse to experiment. In addition, although the computer models have been increasingly successful in simulating a wide range of engineering problems, it is essential that the results of these models are validated and verified against experiment. Hence, the communication of scientists and researchers working experimentally with their counterparts specializing in computer codes is very important and mutually beneficial.

The success of these proceedings derives from the continuing importance of developing a getter understanding of how to match computational methods with experiment. The greater diversity of engineering and scientific software, together with the emergence of increasingly powerful computer codes, has led to an increasing need to re-appraise experimental validation. More efficient experiments are being developed to assess numerical results, and these proceedings provide a wealth of material relating experimental results with those obtained from programs.