Abstract

Highway bridges are the key element of a transportation system and are essential for transportation of goods, services, and people. They are, however, vulnerable to extreme geologic and hydraulic events such as earthquakes, scour, and hurricanes. It is imperative to collect key perishable data during and after extreme hazard events for engineering evaluation and improving the current and future bridge design and maintenance practices. The objective of the posthazard damage assessment is to collect engineering data related to global structural behavior of different components of a highway bridge such as decks and piers. This paper studies the feasibility of using unmanned aerial systems (UASs) for posthazard damage assessment of highway bridges subjected to extreme geologic and hydraulic hazards through a mock-up test setup. For this purpose, a model bridge was developed to simulate movements of the key components of a highway bridge. Three types of structural movements in bridges have been studied: translation, rotation, and settlement. The results show the capability of the UAS and ground-based tripod assembly with high-resolution camera to detect these movements with high accuracy. The average absolute differences observed between the measured and estimated values were 0.7 cm (0.28 in.), 1 cm (0.39 in.), and 1.4 cm (0.55 in.) in the translation, rotation, and settlement movement experiments, respectively.

Get full access to this article

View all available purchase options and get full access to this article.

Acknowledgments

This work was done under FHWA Contract No. DTFH61-14-D-00010 0209 entitled “Post-Hazard Engineering Assessment of Highway Structures: Scanning and Convening Meeting and Demonstration of Reconnaissance Technologies.” This project was also partially funded by the INSPIRE University Transportation Center (UTC). Financial support for INSPIRE UTC projects is provided by the US Department of Transportation, Office of the Assistant Secretary for Research and Technology (USDOT/OST-R) under Grant No. 69A3551747126 through INSPIRE University Transportation Center (http://inspire-utc.mst.edu) at Missouri University of Science and Technology. The views, opinions, findings, and conclusions reflected in this publication are solely those of the authors and do not represent the official policy or position of the FHWA, USDOT/OST-R, or any State or other entity.

References

Akiyama, M., D. M. Frangopol, M. Arai, and S. Koshimura. 2013. “Reliability of bridges under tsunami hazards: Emphasis on the 2011 Tohoku-oki earthquake.” Supplement, Earthquake Spectra 29 (S1): S295–S314. https://doi.org/10.1193/1.4000112.
Aronoff, S. 2005. Remote sensing for GIS managers. Redlands, CA: ESRI Press.
Astralite. 2019. “Astralite.” Accessed March 27, 2019. https://www.astralite.net.
Baiocchi, V., D. Dominici, and M. Mormile. 2013. “UAV application in post-seismic environment.” Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. XL-1 (W2): 21–25. https://doi.org/10.5194/isprsarchives-XL-1-W2-21-2013.
Basöz, N. I., A. S. Kiremidjian, S. A. King, and K. H. Law. 1999. “Statistical analysis of bridge damage data from the 1994 Northridge, CA, earthquake.” Earthquake Spectra 15 (1): 25–54.
Bouali, E. H., T. Oommen, S. Vitton, R. Escobar-Wolf, and C. Brooks. 2017. “Rockfall hazard rating system: Benefits of utilizing remote sensing.” Environ. Eng. Geosci. 23 (3): 165–177.
Brooks, C. N., et al. 2016. Characterization of unpaved road condition through the use of remote sensing project: Phase II deliverable 8-D. Ann Arbor, MI: Michigan Tech Research Institute.
Brooks, C. N., et al. 2018. Implementation of unmanned aerial vehicles (UAVs) for assessment of transportation infrastructure: Phase II. Houghton, MI: Michigan Technological Univ.
Brooks, C. N., R. J. Dobson, D. M. Banach, and S. J. Cook. 2017. Transportation infrastructure assessment through the use of unmanned aerial vehicles.. Washington, DC: Transportation Research Board.
Brooks, C. N., R. J. Dobson, D. M. Banach, D. Dean, T. Oommen, R. E. Wolf, T. C. Havens, T. M. Ahlborn, and B. Hart. 2015. Evaluating the use of unmanned aerial vehicles for transportation purposes: Final report.. Houghton, MI: Michigan Technological Univ.
Buckle, I. G., I. M. Friedland, J. B. Mander, G. R. Martin, R. Nutt, and M. Power. 2006. Seismic retrofitting manual for highway structures: Part 1—Bridges. Washington, DC: Federal Highway Administration.
Burgess, D., K. Ortega, G. Stumpf, G. Garfield, C. Karstens, T. Meyer, and B. Smith. 2014. “20 May 2013 Moore, Oklahoma, tornado: Damage survey and analysis.” Weather Forecasting 29 (5): 1229–1237. https://doi.org/10.1175/WAF-D-14-00039.1.
Campbell, J. B., and R. H. Wynne. 2011. Introduction to remote sensing. 5th ed. New York: Guilford.
Chen, S., D. F. Laefer, E. Mangina, and S. M. I. Zolanvari. 2019. “UAV bridge inspection through evaluated 3D reconstructions.” J. Bridge Eng. 24 (4): 05019001. https://doi.org/10.1061/(ASCE)BE.1943-5592.0001343.
Craft, A. 2017. “How drones are playing a larger role in hurricane relief efforts.” Fox News, September 8, 2017.
Darrow, M., F. Meyer, K. G. Cunningham, N. L. Gyswyt, R. P. McCoy, R. P. Daanen, and D. McAlpin. 2016. Monitoring and analysis of frozen debris lobes using remote sensing. Washington, DC: Office of the Assistant Secretary for Research and Technology, US Dept. of Transportation.
Dobson, R., T. Colling, C. Brooks, C. Roussi, M. Watkins, and D. Dean. 2018. “Collecting decision support system data through remote sensing of unpaved roads.” Transp. Res. Rec. 2433 (1): 108–115. https://doi.org/10.3141/2433-12.
Dorafshan, S., R. J. Thomas, and M. Maguire. 2018. “Fatigue crack detection using unmanned aerial systems in fracture critical inspection of steel bridges.” J. Bridge Eng. 23 (10): 04018078. https://doi.org/10.1061/(ASCE)BE.1943-5592.0001291.
Duque, L., J. Seo, and J. Wacker. 2018. “Bridge deterioration quantification protocol using UAV.” J. Bridge Eng. 23 (10): 04018080. https://doi.org/10.1061/(ASCE)BE.1943-5592.0001289.
Duwadi, S. R. 2010. “Hazard mitigation R&D series: Article 1: Taking a key role in reducing disaster risks.” Public Roads 73 (6): FHWA-HRT-10-004.
FAA (Federal Aviation Administration). 2016. Operation and certification of small unmanned aircraft systems. Washington, DC: FAA.
Falkner, E. 1995. Aerial mapping: Methods and applications. Boca Raton, FL: CRC Press.
Feng, D., M. Feng, E. Ozer, and Y. Fukuda. 2015. “A vision-based sensor for noncontact structural displacement measurement.” Sensors 15 (7): 16557–16575. https://doi.org/10.3390/s150716557.
FHWA (Federal Highway Administration). 2018. “National bridge inventory: Deficient bridges by highway system in 2017.” Accessed March 15, 2018. https://www.fhwa.dot.gov/bridge/nbi/no10/defbr17.cfm.
Graettinger, A. J., et al. 2014. Tornado damage assessment in the aftermath of the May 20th 2013 Moore Oklahoma tornado. Alexandria, VA: National Science Foundation.
Jalinoos, F., A. K. Agrawal, C. N. Brooks, M. Amjadian, D. Banach, E. J. Boren, R. Dobson, and T. Ahlborn. 2019. Post-hazard engineering assessment of highway structures using remote sensing technologies. Washington, DC: Federal Highway Administration.
Jaud, M., S. Passot, R. Le Bivic, C. Delacourt, P. Grandjean, and N. Le Dantec. 2016. “Assessing the accuracy of high resolution digital surface models computed by PhotoScan and MicMac in sub-optimal survey conditions.” Remote Sens. 8 (6): 465. https://doi.org/10.3390/rs8060465.
Jordan, S., J. Moore, S. Hovet, J. Box, J. Perry, K. Kirsche, D. Lewis, and Z. T. H. Tse. 2018. “State-of-the-art technologies for UAV inspections.” IET Radar Sonar Navig. 12 (2): 151–164. https://doi.org/10.1049/iet-rsn.2017.0251.
Karpowicz, R., F. Tymli, and L. Jessica. 2014. The use of unmanned aerial systems for steep terrain investigations. Sacramento, CA: Caltrans Division of Research, Innovation and System Information.
Kerenyi, K., and J. Guo. 2010. “Hazard mitigation R&D series: Article 2: Scour, flooding, and inundation.” Public Roads 74 (1): FHWA-HRT-10-005.
Khaloo, A., D. Lattanzi, K. Cunningham, R. Dell’Andrea, and M. Riley. 2017. “Unmanned aerial vehicle inspection of the Placer River Trail Bridge through image-based 3D modelling.” Struct. Infrastruct. Eng. 14 (1): 124–136. https://doi.org/10.1080/15732479.2017.1330891.
Kosa, K. 2014. “Damage analysis of bridges affected by the tsunami in the Great East Japan Earthquake.” J. JSCE 2 (1): 77–93. https://doi.org/10.2208/journalofjsce.2.1_77.
Lee, J. J., and M. Shinozuka. 2006. “A vision-based system for remote sensing of bridge displacement.” NDT & E Int. 39 (5): 425–431. https://doi.org/10.1016/j.ndteint.2005.12.003.
Lee, W. F., T. T. Cheng, C. K. Huang, C. I. Yen, and H. T. Mei. 2014. “Performance of a highway bridge under extreme natural hazards: Case study on bridge performance during the 2009 Typhoon Morakot.” J. Perform. Constr. Facil. 28 (1): 49–60. https://doi.org/10.1061/(ASCE)CF.1943-5509.0000418.
Liao, C. L., C. Y. Wang, H. Wang, and M. H. Chen. 2010. “Damage investigation of bridges affected by mudslides and flood during 2009 Morakot Typhoon in Taiwan.” In Proc., 5th Civil Engineering Conf. in the Asian Region (CECAR5) and Australasian Structural Engineering Conf. (ASEC 2010). Barton, ACT, Australia: Engineers Australia.
Liu, J., P. J. Mason, and E. C. Bryant. 2017. “Regional assessment of geohazard recovery eight years after the Mw7.9 Wenchuan earthquake: A remote-sensing investigation of the Beichuan region.” Int. J. Remote Sens. 39 (6): 1671–1695. https://doi.org/10.1080/01431161.2017.1410299.
Mandlburger, G., M. Pfennigbauer, U. Riegl, A. Haring, M. Wieser, P. Glira, and L. Winiwarter. 2015. “Complementing airborne laser bathymetry with UAV-based lidar for capturing alluvial landscapes.” In Vol. 9637 of Proc., Remote Sensing for Agriculture, Ecosystems, and Hydrology XVII, 96370A. Bellingham, WA: International Society for Optics and Photonics.
Mansour, M. F., N. R. Morgenstern, and C. D. Martin. 2011. “Expected damage from displacement of slow-moving slides.” Landslides 8 (1): 117–131. https://doi.org/10.1007/s10346-010-0227-7.
Melville, B. W. 1992. “Local scour at bridge abutments.” J. Hydraul. Eng. 118 (4): 615–631. https://doi.org/10.1061/(ASCE)0733-9429(1992)118:4(615).
Nedjati, A., B. Vizvari, and G. Izbirak. 2016. “Post-earthquake response by small UAV helicopters.” Nat. Hazards 80 (3): 1669–1688. https://doi.org/10.1007/s11069-015-2046-6.
Nikolov, I., and C. Madsen. 2016. “Benchmarking close-range structure from motion 3D reconstruction software under varying capturing conditions.” In Proc., Euro-Mediterranean Conf., 15–26. Cham, Switzerland: Springer.
O’Neil-Dunne, J. 2015. Rapid exploitation of commercial remotely sensed imagery for disaster response & recovery. Burlington, VT: Univ. of Vermont.
Otero, L. D., P. Adrian, and M. Moyou. 2016. Remote sensing with mobile LiDAR and imaging sensors for railroad bridge inspections. Melbourne, FL: Florida Institute of Technology.
Padgett, J., R. DesRoches, B. Nielson, M. Yashinsky, O. S. Kwon, N. Burdette, and E. Tavera. 2008. “Bridge damage and repair costs from Hurricane Katrina.” J. Bridge Eng. 13 (1): 6–14. https://doi.org/10.1061/(ASCE)1084-0702(2008)13:1(6).
Pamuk, A., E. Kalkan, and H. I. Ling. 2005. “Structural and geotechnical impacts of surface rupture on highway structures during recent earthquakes in Turkey.” Soil Dyn. Earthquake Eng. 25 (7–10): 581–589. https://doi.org/10.1016/j.soildyn.2004.11.011.
Pittore, M., and M. Wieland. 2013. “Toward a rapid probabilistic seismic vulnerability assessment using satellite and ground-based remote sensing.” Nat. Hazards 68 (1): 115–145. https://doi.org/10.1007/s11069-012-0475-z.
Reagan, D., A. Sabato, and C. Niezrecki. 2018. “Feasibility of using digital image correlation for unmanned aerial vehicle structural health monitoring of bridges.” Struct. Health Monit. 17 (5): 1056–1072. https://doi.org/10.1177/1475921717735326.
Richardson, E. V., L. J. Harrison, J. R. Richardson, and S. R. Davis. 1993. Evaluating scour at bridges. Washington, DC: US Dept. of Transportation, Federal Highway Administration.
Riegl. 2019. “Riegl.” Accessed March 27, 2019. http://www.riegl.com/products/unmanned-scanning/bathycopter/.
Robertson, I. N., H. R. Riggs, S. C. Yim, and Y. L. Young. 2007. “Lessons from Hurricane Katrina storm surge on bridges and buildings.” J. Waterway, Port, Coastal, Ocean Eng. 133 (6): 463–483. https://doi.org/10.1061/(ASCE)0733-950X(2007)133:6(463).
Rockwell, M. 2017. “FAA speeds drone approvals for Irma recovery.” Accessed September 19, 2017. https://gcn.com/articles/2017/09/19/faa-drone-authorizations.aspx.
Ruggles, S., J. Clark, K. W. Franke, D. Wolfe, B. Reimschiissel, R. A. Martin, T. J. Okeson, and J. D. Hedengren. 2016. “Comparison of SfM computer vision point clouds of a landslide derived from multiple small UAV platforms and sensors to a TLS-based model.” J. Unmanned Veh. Syst. 4 (4): 246–265. https://doi.org/10.1139/juvs-2015-0043.
Stearns, M., and J. E. Padgett. 2011. “Impact of 2008 Hurricane Ike on bridge infrastructure in the Houston/Galveston region.” J. Perform. Constr. Facil. 26 (4): 441–452. https://doi.org/10.1061/(ASCE)CF.1943-5509.0000213.
Steimle, E. T., R. R. Murphy, M. Lindemuth, and M. L. Hall. 2009. “Unmanned marine vehicle use at Hurricanes Wilma and Ike.” In Proc., OCEANS 2009. New York: IEEE.
Stow, D. A., C. D. Lippitt, L. L. Coulter, and B. A. Davis. 2015. “Time-sensitive remote sensing systems for post-hazard damage assessment.” In Time-sensitive remote sensing, 13–28. New York: Springer.
Stow, D. A., C. D. Lippitt, L. L. Coulter, and A. C Loerch. 2018. “Towards an end-to-end airborne remote-sensing system for post-hazard assessment of damage to hyper-critical infrastructure: Research progress and needs.” Int. J. Remote Sens. 39 (5): 1441–1458. https://doi.org/10.1080/01431161.2017.1407052.
Stramondo, S., C. Bignami, M. Chini, N. Pierdicca, and A. Tertulliani. 2006. “Satellite radar and optical remote sensing for earthquake damage detection: Results from different case studies.” Int. J. Remote Sens. 27 (20): 4433–4447. https://doi.org/10.1080/01431160600675895.
Sydell, L. 2017. “Telecom companies turn to drones for help after hurricanes.” Accessed September 10, 2017. https://www.npr.org/2017/09/10/549922317/telecom-companies-turn-to-drones-for-help-after-hurricanes.
Tomiczek, A. P., T. J. Whitley, J. A. Bridge, and P. G. Ifju. 2019. “Bridge inspections with small unmanned aircraft systems: Case studies.” J. Bridge Eng. 24 (4): 05019003. https://doi.org/10.1061/(ASCE)BE.1943-5592.0001376.
Tralli, D. M., R. G. Blom, V. Zlotnicki, A. Donnellan, and D. L. Evans. 2005. “Satellite remote sensing of earthquake, volcano, flood, landslide and coastal inundation hazards.” ISPRS J. Photogram. Remote Sens. 59 (4): 185–198. https://doi.org/10.1016/j.isprsjprs.2005.02.002.
Vaghefi, K., R. C. Oats, D. K. Harris, T. T. M. Ahlborn, C. N. Brooks, K. A. Endsley, C. Roussi, R. Shuchman, J. W. Burns, and R. Dobson. 2011. “Evaluation of commercially available remote sensors for highway bridge condition assessment.” J. Bridge Eng. 17 (6): 886–895. https://doi.org/10.1061/(ASCE)BE.1943-5592.0000303.
Wang, Z., and G. C. Lee. 2009. “A comparative study of bridge damage due to the Wenchuan, Northridge, Loma Prieta and San Fernando earthquakes.” Earthquake Eng. Eng. Vib. 8 (2): 251–261. https://doi.org/10.1007/s11803-009-9063-y.
Watanabe, E., K. Sugiura, K. Nagata, and Y. Kitane. 1998. “Performances and damages to steel structures during the 1995 Hyogoken-Nanbu earthquake.” Eng. Struct. 20 (4–6): 282–290. https://doi.org/10.1016/S0141-0296(97)00029-1.
Westoby, M. J., J. Brasington, N. F. Glasser, M. J. Hambrey, and J. M. Reynolds. 2012. “‘Structure-from-Motion’ photogrammetry: A low-cost, effective tool for geoscience applications.” Geomorphology 179 (Dec): 300–314. https://doi.org/10.1016/j.geomorph.2012.08.021.
Wolf, R.E., E.H. Bouali, T. Oommen, R. J. Dobson, S. Vitton, C. N. Brooks, and P. Lautala. 2015. Sustainable geotechnical asset management along the transportation infrastructure environment using remote sensing. Houghton, MI: Michigan Technological Univ., Houghton Geological and Mining Engineering and Sciences.
Wolf, R.E., T. Oommen, C. N. Brooks, R. J. Dobson, and T. M. Ahlborn. 2018. “Unmanned aerial vehicle (UAV)-based assessment of concrete bridge deck delamination using thermal and visible camera sensors: A preliminary analysis.” Res. Nondestr. Eval. 29 (4): 1–16. https://doi.org/10.1080/09349847.2017.1304597.
Yen, W. H. 2010. “Hazard mitigation R&D series: Article 3: Earthquake” Public Roads 74 (2): FHWA-HRT-10-006.
Zink, J., and B. Lovelace. 2015. Unmanned aerial vehicle bridge inspection demonstration project. Saint Paul, MN: Minnesota Dept. of Transportation.

Information & Authors

Information

Published In

Go to Journal of Bridge Engineering
Journal of Bridge Engineering
Volume 25Issue 1January 2020

History

Received: Dec 18, 2018
Accepted: Jul 29, 2019
Published online: Oct 25, 2019
Published in print: Jan 1, 2020
Discussion open until: Mar 25, 2020

Permissions

Request permissions for this article.

Authors

Affiliations

Frank Jalinoos, M.ASCE [email protected]
Research Structural Engineer, Office of Infrastructures R&D, Federal Highway Administration, 6300 Georgetown Pike, McLean, VA 22101. Email: [email protected]
Ph.D. Candidate, Dept. of Civil and Environmental Engineering, City College, City Univ. of New York, 160 Convent Ave., New York, NY 10031 (corresponding author). ORCID: https://orcid.org/0000-0002-6786-8707. Email: [email protected]
Anil K. Agrawal, M.ASCE [email protected]
Professor, Dept. of Civil and Environmental Engineering, City College, City Univ. of New York, 160 Convent Ave., New York, NY 10031. Email: [email protected]
Colin Brooks [email protected]
Senior Research Scientist, Michigan Tech Research Institute, Michigan Technological Univ., 3600 Green Ct., Suite 100, Ann Arbor, MI 48105. Email: [email protected]
Researcher, Michigan Tech Research Institute, Michigan Technological Univ., 3600 Green Ct., Suite 100, Ann Arbor, MI 48105. ORCID: https://orcid.org/0000-0003-1917-9402. Email: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share