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Infrared thermal-imaging construction fault location

Authors: David J. Titman;

Infrared thermal-imaging construction fault location

Abstract

Over the past few years infrared thermal imaging has been considered for a variety of engineering applications and the potential of this method is only now being realised with the range of applications still increasing (1 and 2). As a totally non-destructive method, it has the advantage of providing handsoff mformation quickly. As with other non-destructive or potentially destructive methods, however, there are particular factors which may influence the success of its application and, wherever possible, it should be used in the context of a combined testing approach (3). Because of the relative nature of data produced by a thermographic survey, the quantification of properties of a structure or the materials contained therein may require correlation by confirmatory localised 'destructive' sampling and/or inspection. This paper outlines the principles in operation, the conditions required for the survey to be successful and a range of situations where the technique has proved effective.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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