Implementation of GPR and TLS data for the assessment of the bridge slab geometry and reinforcement

• Autorzy: Cafiso S. , Di Graziano A. , Goulias D. , Mangiameli M. , Mussumeci G.

Identyfikatory

DOI

10.24425/ace.2020.131789

• Języki publikacji: EN

Abstrakty

EN

This paper presents a suggested approach for forensic investigation of bridge decks in which Ground penetrating radar (GPR) consisting of two antennas is used to assess the current conditions. The methodology was tested on a bridge deck in central Sicily. The acquired data were analyzed for identifying the asphalt overlay thickness, concrete cover depth and deck thickness and location of the rebar reinforcement. In the proposed approach for assessing bridge deck conditions the GPR survey was complemented with (i) a site investigation on layer thicknesses for calibration/verification purposes of the GPR response and (ii) a Terrestrial Laser Scanning system (TLS) to verify the bridge design slab curvature. The study shows that this methodology has significant merits on accurately assessing such bridge deck components when bridge design records are non-existing, and by using non-invasive methods such as laser scanning and GPR. The great advantage provided by the TLS technique is the possibility to obtain a 3D output model of the scanned element with the accuracy of the best topographic instruments in order to complement GPR data surveys for bridge inspection.

Słowa kluczowe

EN

ground penetrating radar; terrestrial laser scanning; bridge slab; geometry; reinforcement

PL

georadar; skanowanie laserowe naziemne; płyta mostowa; geometria; zbrojenie

• Wydawca: Komitet Inżynierii Lądowej i Wodnej PAN ; Politechnika Warszawska, Wydział Inżynierii Lądowej
• Czasopismo: Archives of Civil Engineering
• Rocznik: 2020
• Tom: Vol. 66, nr 1
• Strony: 297--308
• Opis fizyczny: Bibliogr. 16 poz., il., tab.

Twórcy

autor

Cafiso S.

• University of Catania, Department of Civil Engineering and Architecture, Catania, Italy

autor

Di Graziano A.

• University of Catania, Department of Civil Engineering and Architecture, Catania, Italy

autor

Goulias D.

• University of Maryland College Park, Department of Civil and Environmental Engineering, USA

autor

Mangiameli M.

• University of Catania, Department of Civil Engineering and Architecture, Catania, Italy

autor

Mussumeci G.

• University of Catania, Department of Civil Engineering and Architecture, Catania, Italy

Bibliografia

• 1. Cafiso, S., Di Graziano, A. (2008) Automated in-vehicle data collection and treatment for existing roadway alignment. Efficient Transportation and Pavement Systems: Characterization, Mechanisms, Simulation, and Modeling - Proceedings of the 4th International Gulf Conference on Roads, pp. 785-797, Qatar.
• 2. Fatuzzo G., Mussumeci G., Oliveri S.M., Sequenzia G. The “Guerriero di Castiglione”: reconstructing missing elements with integrated non-destructive 3D modelling techniques. Journal of Archaeological Science 38 (12), 3533-3540.
• 3. Fatuzzo G., Mangiameli M., Mussumeci G., Zito S. Laser Scanner Data Processing and 3D Modeling Using a Free and Open Source Software. AIP Conference Proceedings 1648, 780010 (2015).
• 4. Garland M and Heckbert P.S. “Surface simpli-fication using quadric error metrics”, in SIGGRAPH ’97 Proceedings( 1997).
• 5. Goulias, D., and Scott S.(2015) Effective Implementation of GPR for Condition Assessment and Monitoring of Critical Infrastructure Complements of Bridges and Highways. Final Research Report, SP309B4R, Maryland State Highway Administration, MSHA, Hanover, MD.
• 6. Goulias D., Gagarin, N., Mekemson, J. (2016) Deployment of Step-Frequency (SF) Ground-Penetrating-Radar (GPR) Array System for Condition Assessment of Bridge Decks. Proceedings NDE/NDT for Highways and Bridges: Structural Materials Technology (SMT), Portland, OR, August 29-31.
• 7. Cafiso S., Di Graziano A. (2011) Surrogate Safety Measures for Optimizing Local Rural Road Network Investments – Transportation Research Record n°2237, TRB Washington D.C. 2011, pp. 20-30.
• 8. Cafiso S., Di Graziano A. (2009) Monitoring and performance of AC pavements reinforced with steel mesh. International Journal of Pavement Research and Technology, Volume 2 Number 3, ISSN 1996-6814, Chinese Society of Pavement Engineering.
• 9. Gagarin N., Mekemson J., Goulias, D., Cutts R., and Andrews J. (2017) Advances in Analysis of Ground Penetrating Radar Antenna Array for Sub-Surface Analysis of Concrete Bridge Decks. 96th Transportation Research Board Annual Meeting, TRB Compendium, National Academies, Washington, D.C.
• 10. Goulias, D. (2017) A Novel Segmentation Approach for Identifying Homogeneous Pavement Sections using GPR Data. International Journal of Pavements, Vol 16, (1).
• 11. Gagarin N., Mekemson J., Goulias, D. (2017) Second-Generation Analysis Approach for Condition Assessment of Transportation Infrastructure using Step-Frequency (SF) Ground-Penetrating-Radar (GPR) Array System. 10th International Conference on the Bearing Capacity of Roads, Railways and Airfields.” BCCRA 2017, Athens, Greece.
• 12. Goulias, D. (2017). Effective Implementation of GPR for Condition Assessment and Monitoring – Phase 2. Final Research Report, SP509B4K, Maryland State Highway Administration, MSHA, Hanover, MD.
• 13. Cafiso S., Di Graziano A., Goulias D., Mangiameli M. and Mussumeci G. (2018). Bridge Monitoring Combining Laser Scanning and Ground Penetrating Radar. AIP Conference Proceedings ICNAAM Rhodes (in press)
• 14. Wiwatrojanagul, P., Sahamitmongkol, R., Tangtermsirikul, S. Khamsemanan, N. (2017). A new method to determine locations of rebars and estimate cover thickness of RC structures using GPR data, Construction Building Materials, 140: 257-273.
• 15. Mangiameli, M., Mussumeci, G., Zito, S. (2016) Low cost digital photogrammetry: From the extraction of point clouds by SFM technique to 3D mathematical modeling. Proceedings of the International conference of numerical analysis and applied mathematics, Rhodes, Greece, Volume 1863.
• 16. Mineo S., Pappalardo G., Mangiameli M., Campolo S., Mussumeci G., (2018). Rockfall Analysis for Preliminary Hazard Assessment of the Cliff of Taormina Saracen Castle (Sicily). Sustainability 2018, 10, 417; doi:10.3390/su10020417.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).