Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Using GPR to predict cover-depth over reinforcing steel rebars of a bridge deck. A case study
With traffic volume increasing on the Dan Ryan Expressway (I-90/94) bridge in Chicago, Illinois, early detection and quantification of possible internal flaws and deterioration in the highway are needed. Using a reliable measurement tool, informed decisions can be made about appropriate and timely repair and rehabilitation. In this study, six lanes, with nine sections each, of the Dan Ryan bridge deck were tested using ground penetrating radar (GPR). An image processing technique was then used on the GPR data to detect the reinforcing bars (rebar) and to estimate their cover-depth profile (a picture of how deeply the rebars were embedded in the concrete). To estimate the depth profile, calculated concrete dielectric constants were utilized. Results of the analysis showed a variation of the rebar cover-depth within and between the surveyed sections. The rebar cover-depth of the surveyed lanes was mostly greater than 64 mm (2.5 in). The southbound middle lanes- 2, 3, and 4 had less cover-depth, especially for lane 3. Forty-four percent of this lane had rebars embedded less than 64 mm (2.5 in) deep, 7 % had rebars less than 50 mm (2 in) deep. Locations determined to have extremely low rebar cover-depth, less than 38 mm (1.5 in), showed spalling. The results of the GPR analysis were verified using depth measurements from limited ground truth. Variation in the cover-depth profile could be caused by rebar floating during construction. This survey resulted in direct and significant cost savings in the state's rehabilitation plans, estimated at more than 3 million Dollars.
Using GPR to predict cover-depth over reinforcing steel rebars of a bridge deck. A case study
With traffic volume increasing on the Dan Ryan Expressway (I-90/94) bridge in Chicago, Illinois, early detection and quantification of possible internal flaws and deterioration in the highway are needed. Using a reliable measurement tool, informed decisions can be made about appropriate and timely repair and rehabilitation. In this study, six lanes, with nine sections each, of the Dan Ryan bridge deck were tested using ground penetrating radar (GPR). An image processing technique was then used on the GPR data to detect the reinforcing bars (rebar) and to estimate their cover-depth profile (a picture of how deeply the rebars were embedded in the concrete). To estimate the depth profile, calculated concrete dielectric constants were utilized. Results of the analysis showed a variation of the rebar cover-depth within and between the surveyed sections. The rebar cover-depth of the surveyed lanes was mostly greater than 64 mm (2.5 in). The southbound middle lanes- 2, 3, and 4 had less cover-depth, especially for lane 3. Forty-four percent of this lane had rebars embedded less than 64 mm (2.5 in) deep, 7 % had rebars less than 50 mm (2 in) deep. Locations determined to have extremely low rebar cover-depth, less than 38 mm (1.5 in), showed spalling. The results of the GPR analysis were verified using depth measurements from limited ground truth. Variation in the cover-depth profile could be caused by rebar floating during construction. This survey resulted in direct and significant cost savings in the state's rehabilitation plans, estimated at more than 3 million Dollars.
Using GPR to predict cover-depth over reinforcing steel rebars of a bridge deck. A case study
Einsatz von Bodenradar zur Vorhersage der Überdeckungsdicke von Stahlarmierungen in Brückenbelägen. Eine Fallstudie
Al-Qadi, I.L. (Autor:in)
2006
8 Seiten, 3 Bilder, 1 Tabelle, 16 Quellen
Aufsatz (Konferenz)
Datenträger
Englisch
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