Modeling and Measurement of Rebar Corrosion and Crack Formation Using High Frequency Ultrasonics in Three Dimensions and with No Contact with the Sample [supporting dataset]
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2020-06-01
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Abstract:The detection and measurement of rebar corrosion in reinforced concrete using ultrasonic Non-Destructive Testing (NDT) has been of great interest for several decades, as the operator can monitor corrosion in reinforce concrete and ideally detect early signs of corrosion, without any need to drill through or cut the concrete. The limitation of this approach resides in the ability to successfully detect early forms of corrosion before cracks reach the surface of the reinforced concrete. The goal is to demonstrate the ability to detect early appearance of cracks in reinforced concrete due to rebar corrosion, using ultrasonic nondestructive acoustic testing with no direct contact between the sensor and the concrete block, in conjunction with a poro-elastic ultrasound propagation model. The objectives are threefold: (1) Identify the proper measurement configuration and predict the performance, using the modeling of the ultrasound propagation in the reinforced concrete; (2) Perform a series of targeted measurements using the proper ultrasonic transducers on a set of existing reinforced concrete samples placed in partial or complete immersion; (3) Evaluate the degree of corrosion within the reinforced concrete with confidence levels according to the poro-elastic model, and correlate the results with those obtained (separately from this proposal) using traditional non-invasive techniques (e.g. corrosion current and corrosion potential measurements). The total size of the described zip file is 21.3 MB. MAT files are a binary data container format used by MATLAB, an open-source program.
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Content Notes:National Transportation Library (NTL) Curation Note: As this dataset is preserved in a repository outside U.S. DOT control, as allowed by the U.S. DOT’s Public Access Plan (https://doi.org/10.21949/1503647) Section 7.4.2 Data, the NTL staff has performed NO additional curation actions on this dataset. The current level of dataset documentation is the responsibility of the dataset creator. NTL staff last accessed this dataset at its repository URL on 2022-11-11. If, in the future, you have trouble accessing this dataset at the host repository, please email NTLDataCurator@dot.gov describing your problem. NTL staff will do its best to assist you at that time.
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