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Variation in information obtained from interpretation of ground penetrating radar (GPR) pavement investigation data

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journal contribution
posted on 29.08.2008, 15:40 by Robert D. Evans, Matthew FrostMatthew Frost, Neil DixonNeil Dixon, Martyn Stonecliffe-Jones
Ground penetrating radar (GPR) data can be used to provide useful information about pavement structures. However, some limitations exist relating to GPR technology, and various limitations and uncertainties can exist in the reported information depending on the investigation methodology and the data analysis procedure used. The combination of all these factors results in a significant potential for uncertainty or variations in the analyzed data, and therefore consideration is required if the optimum amount of information from a GPR investigation is to be obtained. This paper discusses the possible errors and uncertainties that can arise from GPR investigations, and GPR pavement data is used to illustrate issues that can arise during data analysis and interpretation. Ways of minimizing and managing variations and uncertainties are discussed, and the use of appropriate data collection and analysis procedures are highlighted, so that the use of information from GPR can be optimized.

History

School

  • Architecture, Building and Civil Engineering

Citation

EVANS, R.D. ... et al, 2007. Variation in information obtained from interpretation of ground penetrating radar (GPR) pavement investigation data. IN: Loizos, A., Scarpas, T. and Al-Qadi, I.L. (eds.). Advanced Characterisation of Pavement and Soil Engineering Materials: Proceedings of the International Conference on Advanced Characterisation of Pavement and Soil Engineering, 20-22 June 2007, Athens, Greece

Publisher

© Routledge (Taylor & Francis)

Publication date

2007

Notes

This is a conference paper. The definitive version is available at: http://www.routledge.com/books/Advanced-Characterisation-of-Pavement-and-Soil-Engineering-Materials-isbn9780415448826

ISBN

9780415448826;0415448824

Language

en

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