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Experimental mechanics of solids and structures

Author: Jérôme Molimard
Publisher: London, UK : ISTE, Ltd. ; Hoboken, NJ : John Wiley & Sons, Inc., 2016.
Series: Focus series (London, England)
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
From the characterization of materials to accelerated life testing, experimentation with solids and structures is present in all stages of the design of mechanical devices. Sometimes only an experimental model can bring the necessary elements for understanding, the physics under study just being too complex for an efficient numerical model. This book presents the classical tools in the experimental approach to  Read more...
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Genre/Form: Electronic books
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Jérôme Molimard
ISBN: 9781119292302 1119292301 9781119292326 1119292328 1848219962 9781848219960
OCLC Number: 945980338
Description: 1 online resource.
Contents: Mechanical Tests / Jérôme Molimard --
A Few Sensors Used in Mechanics / Jérôme Molimard --
Optical Full-Field Methods / Jérôme Molimard --
Basic Tools for Measurement Methods / Jérôme Molimard --
Exercises / Jérôme Molimard.
Series Title: Focus series (London, England)
Responsibility: Jérôme Molimard.

Abstract:

From the characterization of materials to accelerated life testing, experimentation with solids and structures is present in all stages of the design of mechanical devices. Sometimes only an experimental model can bring the necessary elements for understanding, the physics under study just being too complex for an efficient numerical model. This book presents the classical tools in the experimental approach to mechanical engineering, as well as the methods that have revolutionized the field over the past 20 years: photomechanics, signal processing, statistical data analysis, design of experiments, uncertainty analysis, etc. Experimental Mechanics of Solids and Structures also replaces mechanical testing in a larger context: firstly, that of the experimental model, with its own hypotheses; then that of the knowledge acquisition process, which is structured and robust; finally, that of a reliable analysis of the results obtained, in a context where uncertainty could be important.

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