Identification of Cavities Underneath Concrete Pavement Based on Pavement Vibration

被引:0
|
作者
Zeng M.-Y. [1 ,2 ]
Zhao H.-D. [1 ,2 ]
Wu D.-F. [1 ,2 ]
Chen H. [1 ,2 ]
Ling J.-M. [1 ,2 ]
机构
[1] Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai
[2] Key Laboratory of Infrastructure Durability and Operation Safety in Airfield of CAAC, Tongji University, Shanghai
基金
中国国家自然科学基金;
关键词
Cavity identification; Concrete pavement; Distributed optical sensing; Frequency spectrum; Road engineering; Vibration;
D O I
10.19721/j.cnki.1001-7372.2020.03.003
中图分类号
学科分类号
摘要
Cavities beneath concrete pavement slabs, usually resulting from erosion or foundation settlement, increase the flexural-tensile stress in the slabs, which may cause distresses, such as joint faults and fracture. To avoid such distresses, this study proposes a vibration-based method for the identification of cavities underneath concrete pavements. Through finite element analysis, it was found that the cavities significantly affected the local vibration characteristics in terms of the frequency spectrum; however, they had negligible effects at other positions. Additionally, the location and extent of the cavities affected the local frequency spectrum. On this basis, a distributed optical vibration sensing-system (DOVS) was developed and utilized to measure the vibration characteristics of the concrete pavement. Furthermore, a laboratory test was conducted to study the influence of the extent of cavities, and the frequency spectrum was obtained using time-frequency analysis. The correlation between the frequency spectrum and the extent of cavities was studied, and it was observed that the spectrum of 20-150 Hz was sensitive to the extent of cavities, and hence, an index expressed as "weighted frequency" was used to identify the cavities. During the field tests, the DOVS was established in three concrete pavement slabs at Longhua Airport, Shanghai. This vibration-based cavity identification method was compared with other conventional deflection-based methods, and a good coherence was observed between the identification results of these two methods, indicating that the vibration-based method is reliable for cavity identification. © 2020, Editorial Department of China Journal of Highway and Transport. All right reserved.
引用
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页码:42 / 52
页数:10
相关论文
共 25 条
  • [1] Arter M.I., Hall K.T., Kuo C.M., Support Under Portland Cement Concrete Pavements, (1995)
  • [2] Tan Y., Ling J.-M., Yuan J., Et al., Influence of Voids to Loading Stresses of Airport Cement Concrete Pavement, Journal of Tongji University: Natural Science, 38, 4, pp. 552-556, (2010)
  • [3] Tang B.-M., Detection of Voids Beneath the Rigid Pavement Slab, China Journal of Highway and Transport, 5, 1, (1992)
  • [4] White D.J., Vennapusa P.K.R., Zhang Y., Assessment of Support Conditions of Concrete Pavement Using FWD Deflection Basin Data, Journal of Testing and Evaluation, 47, 4, pp. 21-29, (2018)
  • [5] Zeng S., Zhao J., Zou J.-F., Et al., Inspection Index of Grouting Treatment Validity for Void Beneath Cement Concrete Slab, China Journal of Highway and Transport, 23, 6, pp. 7-15, (2010)
  • [6] Huang Y., Yuan J., Tan Y., Et al., Identification of Void beneath Airport Cement Concrete Pavement and Its Influence, Journal of Tongji University: Natural Science, 40, 6, pp. 861-866, (2012)
  • [7] Zeng S., Zeng X.-J., Xu J., Criterion for Void Identification beneath Cement Concrete Pavement Slab Corner, Journal of Central South University: Science and Technology, 40, 1, pp. 248-255, (2009)
  • [8] Wang X.-Y., Ling J.-M., Void Identifying Under Airport Portland Cement Concrete Pavement Corner, Journal of Tongji University: Natural Science, 35, 5, pp. 612-616, (2007)
  • [9] Kim Y.T., Kim B., Kim J.W., Et al., Determining the Optimal Frequency of Ground Penetrating Radar for Detecting Voids in Pavements, International Journal of Highway Engineering, 18, 2, pp. 37-42, (2016)
  • [10] Khamzin A.K., Varnavina A.V., Torgashov E.V., Et al., Utilization of Air-launched Ground Penetrating Radar (GPR) for Pavement Condition Assessment, Construction and Building Materials, 141, pp. 130-139, (2017)