PSI - Issue 62

Stefano Grimaz et al. / Procedia Structural Integrity 62 (2024) 161–168 S. Grimaz et al./ Structural Integrity Procedia 00 (2019) 000 – 000

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References

Bertola, N.J., and Brühwiler, E. ,2021. Risk-based methodology to assess bridge condition based on visual inspection. Structure and Infrastructure Engineering 19(4), 575 – 588. DOI:10.1080/15732479.2021.1959621 Buratti, G., Celati, S., Cosentino, A., Gaudioso, D., Mazzatura, I., Morelli, F., and Salvatore, W. , 2021. The New Guidelines of Italian Ministry of Infrastructures for the Structural Risk Classification of Existing Bridges: Genesis, Examples of Application and Practical Considerations. In Lecture Notes in Civil Engineering (pp. 835 – 844). Springer International Publishing. DOI:10.1007/978-3-030-91877-4_95 Cunningham, K., D. Lattanzi, R. Dell’Andrea, M. Riley, T. Huette, R. Goetz, and R.Wilson , 2015. UAS-based inspection of the Placer River Trail Bridge: A data-driven approach. In Proc., Structures Congress 2015, 607 – 615. Reston, VA: ASCE Duque, L., J. Seo, and J. Wacker ,2018a. Bridge deterioration quantification protocol using UAV. J. Bridge Eng. 23 (10): 04018080. DOI:10.1061/(ASCE)BE.1943-5592.0001289. Duque, L., J. Seo, and J. Wacker ,2018b. Synthesis of unmanned aerial vehicle applications for infrastructures. J. Perform. Constr. Facil. 32 (4): 04018046. DOI:10.1061/(ASCE)CF.1943-5509.0001185. Feroz S., and Dabous S.A. , 2021. UAV-based remote sensing applications for bridge condition assessment. Remote Sensing, 13 (9), art. no. 1809. DOI:10.3390/rs13091809 Hallermann, N., and Morgenthal, G. ,2014. Visual inspection strategies for large bridges using unmanned aerial vehicles (UAV). In Proc., 7th Int. Conf. on Bridge Maintenance, Safety and Management (IABMAS), 661 – 667. Beijing: China Highway and Transportation Society Hearn, G., 2007. Bridge inspection practices. Washington, DC: Transportation Research Board. DOI:10.13140/RG.2.1.5179.5604 Grimaz, S., Malisan, P., Bolognese, C., Ponticelli, L., Cavriani, M., Mannino, E., & Munaro, L., 2016. The short-term countermeasures system of the Italian national fire service for post-earthquake response. Bollettino di Geofisica Teorica e Applicata, 57(2), 161 – 182. DOI:10.4430/bgta0171 Grimaz, S., Zorzini, F., Malisan, P., Del Pin, E., Zorzini, M., Daneluz, F., De Bartolomeo, D., Conticini, L., Garusi E., Tabelli, G., Renzi, E., & Tamasi, G. , 2023. VISIVIA research project: set-up of the VISIT (Visual Inspection for Safety-deficit Identification and Triage) methodology and application on a prototype case on the road SS13 "Pontebbana". Structural Integrity Procedia, accepted. DJI., 2023a. Matrice 300 RTK Specifications. Retrieved from https://enterprise.dji.com/matrice-300/specs. Accessed 26/10/2023 DJI., 2023b. Zenmuse L1 lidar Specifications. Retrieved from https://enterprise.dji.com/mobile/zenmuse-l1/specs. Accessed 26/10/2023 DJI., 2023c. Zenmuse P1 Specifications. Retrieved from https://enterprise.dji.com/mobile/zenmuse-p1/specs. Accessed 26/10/2023 Metni N., and Hamel T., 2007. A UAV for bridge inspection: Visual servoing control law with orientation limits. Automation in Construction 17(1): 3-10. DOI:10.1016/j.autcon.2006.12.010 Mirzaei, Z., and Adey, B. T., 2015. Investigation of the use of three existing methodologies to determine optimal life-cycle activity profiles for bridges. Structure and Infrastructure Engineering, 11(11), 1484 – 1509. DOI:10.1080/15732479.2014.976577 Khaloo, A., D. Lattanzi, Cunningham, K. , Dell’Andrea, R., and Riley, M., 2018. Unmanned aerial vehicle inspection of the Placer River Trail Bridge through image-based 3D modelling. Struct. Infrastruct. Eng. 14 (1): 124 – 136. DOI:10.1080/15732479.2017.1330891 Otero, L. D., Gagliardo, N., Dalli, D., Huang, W.H., and Cosentino, P., 2015. Proof of concept for using unmanned aerial vehicles for high mast pole and bridge inspections. Final Rep. Melbourne, FL: Florida DOT. DOI:10.13140/RG.2.1.4567.2166 Orsini, G., and Piras, G., 2023. Digital construction and management the public’s infrastructures . In: Arbizzani et al. Technological Imagination in the Green and Digital Transition. CONF.ITECH 2022. The Urban Book Series. Springer, Cham. DOI:10.1007/978-3-031-29515-7_10 Phares, B.M., Washer, G.A., Rolander, D.D., Graybeal, B.A., and Moore, M., 2004. Routine Highway Bridge Inspection Condition Documentation Accuracy and Reliability. Journal of Bridge Engineering 9, 403 – 413. DOI:10.1061/(ASCE)1084-0702(2004)9:4(403) Puž, G., Radić, J., and Tenžera, D. , 2012. Visual inspection in evaluation of bridge condition. Gradjevinar,64(9),717-726. doi:10.14256/JCE.718.2012 Quirk, L., Matos, J., Murphy, J., and Pakrashi, V., 2017. Visual inspection and bridge management. Structure and Infrastructure Engineering 14, 1 – 13. DOI: 10.1080/15732479.2017.1352000 Reagan, D., Sabato, A., and Niezrecki, C., 2017a. Feasibility of using digital image correlation for unmanned aerial vehicle structural health monitoring of bridges. Struct. Health Monit. 17 (5): 1056–1072. DOI:10.1177/1475921717735326. Reagan, D., Sabato, A., and Niezrecki, C. , 2017b. Unmanned aerial vehicle acquisition of three-dimensional digital image correlation measurements for structural health monitoring of Bridges. SPIE Proceedings. DOI:10.1117/12.2259985. Santarsiero, G., Masi, A., Picciano, V., and Digrisolo, A., 2021. The Italian Guidelines on Risk Classification and Management of Bridges: Applications and Remarks on Large Scale Risk Assessments. Infrastructures 6(8), 111. DOI: 10.3390/infrastructures6080111 Seo, J., Duque , L., and Wacker, J. , 2018a. Drone-enabled bridge inspection methodology and application. Autom. Constr. 94 (Oct): 112–126. DOI:10.1016/j.autcon.2018.06.006. Seo, J., Duque, L., and Wacker, J. , 2018b. Field application of UAS-based bridge inspection. Transp. Res. Rec. 2672 (12): 72–81. DOI:10.1177/0361198118780825 Seo, J., Wacker, J. , and Duque, L., 2018c. Evaluating the use of drones for timber bridge inspection. General Technical Rep. No. FPLGTR- 258. Madison, WI: USDA. DOI:10.2737/fpl-gtr-258. Zink, J., and B. Lovelace, 2015. Unmanned aerial vehicle bridge inspection demonstration project. Final Rep. Oakdale, MN: Min nesota DOT. Zhang, C., Zou, Y., Wang, F., del Rey Castillo, E., Dimyadi, J., Chen, L., 2022. Towards fully automated unmanned aerial vehicle-enabled bridge inspection: Where are we at? Construction and Building Materials 347, 128543. DOI:10.1016/j.conbuildmat.2022.128543