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Proceedings Article

Predicting full-field dynamic strain on a three-bladed wind turbine using three dimensional point tracking and expansion techniques

[+] Author Affiliations
Javad Baqersad, Christopher Niezrecki, Peter Avitabile

Univ. of Massachusetts Lowell (United States)

Proc. SPIE 9061, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2014, 90612P (March 8, 2014); doi:10.1117/12.2046106
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From Conference Volume 9061

  • Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2014
  • Jerome P. Lynch; Kon-Well Wang; Hoon Sohn
  • San Diego, California, USA | March 09, 2014

abstract

As part of a project to predict the full-field dynamic strain in rotating structures (e.g. wind turbines and helicopter blades), an experimental measurement was performed on a wind turbine attached to a 500-lb steel block and excited using a mechanical shaker. In this paper, the dynamic displacement of several optical targets mounted to a turbine placed in a semi-built-in configuration was measured by using three-dimensional point tracking. Using an expansion algorithm in conjunction with a finite element model of the blades, the measured displacements were expanded to all finite element degrees of freedom. The calculated displacements were applied to the finite element model to extract dynamic strain on the surface as well as within the interior points of the structure. To validate the technique for dynamic strain prediction, the physical strain at eight locations on the blades was measured during excitation using strain-gages. The expansion was performed by using both structural modes of an individual cantilevered blade and using modes of the entire structure (three-bladed wind turbine and the fixture) and the predicted strain was compared to the physical strain-gage measurements. The results demonstrate the ability of the technique to predict full-field dynamic strain from limited sets of measurements and can be used as a condition based monitoring tool to help provide damage prognosis of structures during operation. © (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation

Javad Baqersad ; Christopher Niezrecki and Peter Avitabile
" Predicting full-field dynamic strain on a three-bladed wind turbine using three dimensional point tracking and expansion techniques ", Proc. SPIE 9061, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2014, 90612P (March 8, 2014); doi:10.1117/12.2046106; http://dx.doi.org/10.1117/12.2046106


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