Bridge owners and managers are overwhelmed with increasing maintenance costs and decreasing maintenance
budgets, and efficient allocation of resources is dependent on the ability to perform objective assessments of bridge
health. One method to objectively assess the performance of a structure is the installation of traditional sensors,
which typically need to be in physical contact with the bridge and may require special equipment for access to key
bridge elements as well as wiring for power supply and data acquisition. Visual image correlation (VIC) is a
noncontact, optical measurement technique that can be used as an alternative to traditional bridge response
measurement instruments such as strain gages or linear variable differential transformers, commonly referred to as
LVDTs. VIC was applied to a series of laboratory and field experiments for verification of VIC application for civil
structures in which the VIC system and traditional sensors simultaneously were deployed. The collected
measurements were used for structural model verification, alternative distribution factor calculation and
development of load rating factors for condition assessment. The results from the field deployment at the Powder
Mill Road Bridge in Barre, Massachusetts are presented herein.
 ASCE, “Report Card for America's Infrastructure,” 2013.
 AASHTO, “Bridging the Gap- Restoring and Rebuilding the Nation's Bridges,” American Association of State
Highway and Transportation Officials, Washington, D.C., 2008.
 AASHTO, Manual for Bridge Evaluation, Washington, D.C.: American Association of State Highway and
Transportation Officials, 2010.
 ISHMII, 2010. [Online]. Available: http://www.ishmii.org/Literature/SHMGlossaryDefinitions.html. [Accessed
21 January 2011].
 U. Attanayake, P. Tang and A. Servi, “Non-Contact Bridge Deflection Measurement: Application of Laser
Technology,” in ICSECM, 2011.
 F. Chang, “Structural Health Monitoring,” in Diagnostics & Prognostics to Structural Health Management,
Stanford, CA, 2003.
 ISHMII, “Structural Health Monitoring Seen as Essential for FHWA Vision,” 2006. [Online]. Available:
 B. Benmokrane, A. El-Salakawy and T. Lackey, “Designing and Testing of Concrete Bridge Decks Reinforced
with Glass FRP Bars,” Journal of Bridge Engineering, pp. 217-229, 2006.
 E. Santini-Bell, M. Sanayei, C. Javdekar and E. Slavsky, “Multi-Response Parameter Estimation for Finite
Element Model Updating Using Non-Destructive Test Data,” Journal of Structural Engineering, pp. 133(4):
 A. Wahdeh, J. Caffrey and S. Masri, “A vision-based approach for the direct measurement of displacements in
vibrating systems,” Smart Materials and Structures, 2003.
 P. A. Fuchs, G. A. Washer, S. B. Chase and M. Moore, “Laser-Based Instrumentation for Bridge Load
Testing,” Journal of Performance of Constructed Facilities, pp. 213-219, 2004.
 T. Rodriguez and N. Garcia, “An adaptive real-time monitoring system,” Machine Vision and Applications, pp.
 E. Santini-Bell, P. A. Brogan, P. J. Lefebvre, J. T. Peddle, B. Brenner and M. Sanayei, “Digital Imaging for
Bridge Deflection Measurement of a Steel Girder Composite Bridge,” in TRB 90th Annual Meeting
Compendium of Papers DVD, Washington, D.C., 2011.
 Correlated Solutions, Inc., “Principle of Digital Image Correlation,” 2010. [Online]. Available:
http://www.correlatedsolutions.com/index.php/principle-of-digital-image-correlation. [Accessed 22 February
 M. Sanayei, J. Phelps, J. Sipple, E. Santini-Bell and B. Brenner, “Instrumentation, Nondestructive Testing, and
FEM Updating for Bridge Evaluation using Strain Measurements.,” Accepted for publication in the Journal of
Bridge Engineering, 2011.
 J. T. Peddle, DIGITAL IMAGE CORRELATION AS A TOOL FOR BRIDGE LOAD RATING AND LONGTERM
EVALUATION, Durham: University of New Hampshire, 2010.
 E. Santini-Bell, P. Lefebvre, M. Sanayei, B. Brenner, J. Sipple and J. Peddle, “Objective Load Rating of a
Steel-Girder Bridge Using Structural Modeling and Health Monitoring,” Journal of Structurel Engineering, vol.
139, pp. 1771-1779, 2013.
 Mn/DOT, “Bridge Rating 101,” 2008. [Online]. Available:
http://www.dot.state.mn.us/stateaid/LoadRatingClass101/BridgeRatingClass101allsections.pdf. [Accessed 4
 AASHTO, Manual for Bridge Evaluation, American Association of State and Highway Transportation
Officials , 2011.
 M. J. Chajes, D. R. Mertz and B. Commander, “Experimental Load Rating of a Posted Bridge,” Journal of
Bridge Engineering, 1997.