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| Study on a Test Data Validation Method for Asphalt Pavements |
| SONG Bo1, GUO Da-jin1, MA Li2 |
1. Research Institute of Highway, Ministry of Transport, Beijing 100088, China;
2. Beijing Zhongjiao Ruida Technology CO. LTD., Beijing 100070, China |
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Abstract To establish a test data validation methodology for asphalt pavements as well as to explore and monitor the data calculation process for false data identification, data validation methods, such as abnormal data recognition, statistical tests, and variance analysis were integrated. The general process for the data validation of an asphalt pavement test was established considering the logical link, normality, and variance decomposition of the test data. The application results indicated that a logical test with abnormal data recognition could provide an improved data environment for a statistical test. Moreover, the statistical test requires the development of a three-tiered statistical test approach comprising the Kolmogorov-Smirnov test, F-test, and t-test to ensure the validity of data validation. As an important supplement to the validation method, variance analysis could promote the dispute resolution of quality sampling and ensure that the test and inspection development goals undergo standardized sampling and scientific analysis.
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Received: 24 June 2012
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| Fund:Supported by the Road and Transport R&D Project for Western Regions of China Commissioned by Ministry of Transport (No.2011318223710) |
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Corresponding Authors:
SONG Bo, songbo-gls@163.com
E-mail: songbo-gls@163.com
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2013, Vol. 7 
