2019
DOI: 10.1002/stc.2452
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Detecting concealed damage in asphalt pavement based on a composite lead zirconate titanate/polyvinylidene fluoride aggregate

Abstract: As an important research topic, the utilization of wireless sensors has attracted widespread attention in pavement engineering recently. In this study, a composite lead zirconate titanate/polyvinylidene fluoride aggregate (CPA) was embedded into asphalt pavement to monitor the concealed damage. A CPAbased method for monitoring concealed damage in asphalt pavement cracks was established. According to the analysis of the testing results of the CPAbased method, it was found that (a) for monitoring changes in the … Show more

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Cited by 10 publications
(1 citation statement)
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References 27 publications
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“…Those methods employed the data-driven knowledge discovery principle of machine learning technologies. However, since pavement cracks images contain complex (1) background conditions, which refers to the pavement types such as asphalt concrete pavement, 36,37 Portland Cement Concrete pavement and Composite pavement 38,39 ; and (2) noise conditions, which may include noises from both the data collection systems and the roadway surroundings. Therefore, the practical in-site usability of those pavement crack analysis methodologies is always doubtable from the views of pavement management personnel.…”
Section: Related Workmentioning
confidence: 99%
“…Those methods employed the data-driven knowledge discovery principle of machine learning technologies. However, since pavement cracks images contain complex (1) background conditions, which refers to the pavement types such as asphalt concrete pavement, 36,37 Portland Cement Concrete pavement and Composite pavement 38,39 ; and (2) noise conditions, which may include noises from both the data collection systems and the roadway surroundings. Therefore, the practical in-site usability of those pavement crack analysis methodologies is always doubtable from the views of pavement management personnel.…”
Section: Related Workmentioning
confidence: 99%