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Published Paper

Large-area photogrammetry based testing of wind turbine blades

An optically based sensing system that can measure the displacement and strain over essentially the entire area of a utility-scale blade leads to a measurement system that can significantly reduce the time and cost associated with traditional instrumentation. This paper evaluates the performance of conventional three dimensional digital image correlation...

Published August 04, 2016 By Peyman Poozesh (University of Massachusetts Lowell), Javad Baqersad (Kettering University), Christopher Niezrecki (University of Massachusetts Lowell), Peter Avitabile (University of Massachusetts Lowell), Eric Harvey (Wind Technology Testing Center), Rahul Yarala (Wind Technology Testing Center)

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Industries & Applications

Oil Gas & Energy DIC Photogrammetry

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