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Title: Calibration of Asphalt Strain Transducers by Using Digital Image Correlation
Accession Number: 01622840
Record Type: Component
Record URL: Availability: Find a library where document is available Abstract: Full-scale pavement testing often utilizes embedded instrumentation to measure the effect of traffic loading. As with any scientific measurement, confidence in the data from these sensors relies on proper calibration and installation. Manufacturers of sensors typically perform calibration tests before shipment, but these tests are not standardized. In addition, some manufacturers provide only one calibration sheet covering a batch of sensors, while others provide calibration results for each sensor. Many transducers are calibrated to produce voltage sensitivity factors; however, not all data acquisition systems accept these as inputs. This was the case at the pavement testing facility of the Minnesota Department of Transportation, where a new data acquisition system required gauge factors. This paper describes the development of a bench calibration testing procedure that uses a digital image correlation system to determine system gauge factors (SGFs) for two types of asphalt strain transducers. The calibration results clearly show that each transducer has a unique SGF that should be used when transforming collected strain data. Although the procedure that was developed produced consistent SGFs between tests, several improvements are recommended. The variations in SGFs found in this study demonstrate the need for fully understanding the calibration of strain transducers and the data acquisition systems to which they are connected.
Monograph Title: Monograph Accession #: 01632437
Report/Paper Numbers: 17-02207
Language: English
Authors: Burnham, Thomas RHuerta, SantiagoOlson, Steven CPagination: pp 49–57
Publication Date: 2017
ISBN: 9780309441780
Media Type: Digital/other
Features: Figures
(8)
; Photos; References
(15)
; Tables
(2)
TRT Terms: Uncontrolled Terms: Subject Areas: Highways; Pavements
Files: TRIS, TRB, ATRI
Created Date: Dec 8 2016 10:49AM
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