Skip to main content
Log in

Field measurement of strain response for typical asphalt pavement

典型沥青路面应变响应的现场实测研究

  • Published:
Journal of Central South University Aims and scope Submit manuscript

Abstract

In order to reveal the changing law of the mechanical response of asphalt pavements under the action of vehicle load and provide references for the design of durable pavements, three typical asphalt pavement structures with flexible base (S1), combined base (S2), and semi-rigid base (S3) were selected to perform field strain tests under static and dynamic load using the fiber Bragg grating optical sensing technology. The changing characteristics of the strain field along the horizontal and depth directions of pavements were analyzed. The results indicate that the most unfavorable asphalt pavement layers were the upper-middle surface layer and the lower base layer. In addition, the most unfavorable loading positions on the surface layer and the base layer were the center of wheel load and the gap center between two wheels, respectively. The most unfavorable layer of the surface layers gradually moved from the lower layer to the upper layer with the increase of base layer modulus. The power function relationships between structural layer strain and vehicle speed were revealed. The semi-rigid base asphalt pavement was the most durable pavement type, since its strain value was lower compared to those of the other structures.

摘要

为了揭示沥青路面在车辆荷载作用下的力学响应变化规律, 为耐久性路面设计提供参考, 采用光纤光栅传感技术, 对柔性基层(S1)、 组合式基层(S2)及半刚性基层(S3)3 种典型沥青路面结构开展了动静载作用下的应变现场测试试验, 分析了路面应变沿水平和深度方向的应变场变化规律. 结果表明, 中上面层及下基层底为沥青路面最不利层位; 此外, 面层和基层的最不利荷载点位分别为轮载中心和轮隙中心; 随着基层模量的增加, 面层最不利层位逐渐由下面层上移至中上面层; 揭示了结构层应变与车速之间的幂函数关系; 相对于其他路面结构, 半刚性基层沥青路面结构应变值最小, 其可作为耐久性路面的优选结构类型.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. JIANG Ji-wang, NI Fu-jian, DONG Qiao, ZHAO Yan-jing, XU Kai. Fatigue damage model of stone matrix asphalt with polymer modified binder based on tensile strain evolution and residual strength degradation using digital image correlation methods [J]. Measurement, 2018, 123: 30–38. DOI: https://doi.org/10.1016/j.measurement.2018.03.037.

    Article  Google Scholar 

  2. MANNAN U A, ISLAM M R, TAREFDER R A. Effects of recycled asphalt pavements on the fatigue life of asphalt under different strain levels and loading frequencies [J]. International Journal of Fatigue, 2015, 78: 72–80. DOI: https://doi.org/10.1016/j.ijfatigue.2015.04.004.

    Article  Google Scholar 

  3. LV Song-tao, ZHENG Jian-long. Normalization method for asphalt mixture fatigue equation under different loading frequencies [J]. Journal of Central South University, 2015, 22(7): 2761–2767. DOI: https://doi.org/10.1007/s11771-015-2806-1.

    Article  Google Scholar 

  4. GUAN Zhi-guang, ZHUANG Chuan-yi, ZHANG Peng. Asphalt pavement mechanical response of accelerated pavement testing in single-axle and dual-axle loading modes [J]. Advances in Civil Engineering, 2019, 2019(2): 1–11. DOI: https://doi.org/10.1155/2019/3129485.

    Article  Google Scholar 

  5. PIERRE G A N, LI Yue-guang. Comparative study of French and Chinese asphalt pavement design methods [J]. Journal of Applied Sciences, 2015, 15(6): 923–928. DOI: https://doi.org/10.3923/jas.2015.923.928.

    Article  Google Scholar 

  6. XIANG Ping, WANG Hua-ping. Optical fibre-based sensors for distributed strain monitoring of asphalt pavements [J]. International Journal of Pavement Engineering, 2018, 19(9): 842–850. DOI: https://doi.org/10.1080/10298436.2016.1211872.

    Article  Google Scholar 

  7. ASSOGBA O C, SUN Zhi-qi, TAN Yi-qiu, NONDE L, ZHENG Bin. Finite-element simulation of instrumented asphalt pavement response under moving vehicular load [J]. International Journal of Geomechanics, 2020, 20(3): 04020006. DOI: https://doi.org/10.1061/(asce)gm.1943-5622.0001616.

    Article  Google Scholar 

  8. WANG Hua-ping, XIANG Ping, JIANG Li-zhong. Optical fiber sensing technology for full-scale condition monitoring of pavement layers [J]. Road Materials and Pavement Design, 2018: 1–16. DOI: https://doi.org/10.1080/14680629.2018.1547656.

  9. WANG Hua-ping, XIANG Ping, JIANG Li-zhong. Optical fiber sensor based in-field structural performance monitoring of multilayered asphalt pavement [J]. Journal of Lightwave Technology, 2018, 36(17): 3624–3632. DOI: https://doi.org/10.1109/jlt.2018.2838122.

    Article  Google Scholar 

  10. QUINTNA J A, CARRION F J, CRESPO S E, BONILLA V, GARNICA P, PEREZ A. SHM and evaluation of a continuous reinforced concrete pavement [J]. Journal of Civil Structural Health Monitoring, 2016, 6(4): 681–689. DOI: https://doi.org/10.1007/s13349-016-0189-0.

    Article  Google Scholar 

  11. XIE Jian-guang, LI Hua, GAO Lei, LIU Ming-xi. Laboratory investigation of rutting performance for multilayer pavement with fiber Bragg gratings [J]. Construction and Building Materials, 2017, 154: 331–339. DOI: https://doi.org/10.1016/j.conbuildmat.2017.07.233.

    Article  Google Scholar 

  12. TAN Yi-qiu, WANG Hai-peng, MA Shao-jun, XU Hui-ning. Quality control of asphalt pavement compaction using fibre Bragg grating sensing technology [J]. Construction and Building Materials, 2014, 54: 53–59. DOI: https://doi.org/10.1016/j.conbuildmat.2013.12.032.

    Article  Google Scholar 

  13. ASSOGBA O C, TAN Yi-qiu, SUN Zhi-qi, LUSHINGA N, ZHENG Bin. Effect of vehicle speed and overload on dynamic response of semi-rigid base asphalt pavement [J]. Road Materials and Pavement Design, 2019: 1–31. DOI: https://doi.org/10.1080/14680629.2019.1614970.

  14. ASSOGBA O C, TAN Yi-qiu, ZHOU Xing-ye, ZHANG Chao, ANATO J N. Numerical investigation of the mechanical response of semi-rigid base asphalt pavement under traffic load and nonlinear temperature gradient effect [J]. Construction and Building Materials, 2020, 235: 117406. DOI: https://doi.org/10.1016/j.conbuildmat.2019.117406.

    Article  Google Scholar 

  15. DONG Ze-jiao, MA Xian-yong, GONG Xiang-bing, OESER M. Theoretical evaluation of the measurement accuracy of fiber Bragg grating strain sensors within randomly filled asphalt mixtures based on finite element simulation [J]. Structural Control and Health Monitoring, 2017, 25(1): e2057. DOI: https://doi.org/10.1002/stc.2057.

    Article  Google Scholar 

  16. DONG Zhong-hong, NI Feng-ying. Dynamic model and criteria indices of semi-rigid base asphalt pavement [J]. International Journal of Pavement Engineering, 2014, 15(9): 854–866. DOI: https://doi.org/10.1080/10298436.2014.893322.

    Article  Google Scholar 

  17. DONG Zhong-hong, XU Quan-liang, LU Peng-min. Dynamic response of semi-rigid base asphalt pavement based on accelerated pavement test [J]. China Journal of Highway and Transport, 2011, 24(2): 5–9. (in Chinese)

    Google Scholar 

  18. ZHANG Jing, WEI Lian-yu, MA Shi-bin, LI Na, ZHANG Yi-jie. Experiments and analysis on the mechanical response of the semi-rigid substrate using fiber bragg grating sensing technology [J]. Chinese Journal of Sensors and Actuators, 2016, 29(3): 326–331. (in Chinese)

    Article  Google Scholar 

  19. ZHANG Jing, WEI Lian-yu, MA Shi-bin, WANG Tao. Field test and numerical simulation of dynamic response of semi-rigid base asphalt pavement under moving vehicle load [J]. Journal of Highway and Transportation Research and Development, 2016, 33(10): 19–24. (in Chinese)

    Google Scholar 

  20. PAN Qin-xue, ZHENG Jian-long, YANG Bo, ZHA Xu-dong, LIU Hong-fu. Field prediction method and experiment on creep response of asphalt pavement [J]. China Journal of Highway and Transport, 2017, 30(9): 10–17. (in Chinese)

    Google Scholar 

  21. PAN Qin-xue, ZHENG Jian-long, YANG Bo, LIU Hong-fu. Mechanical response of asphalt pavement under driving conditions by fiber bragg grating optical sensing technology [J]. China Civil Engineering Journal, 2017, 50(4): 129–136. (in Chinese)

    Google Scholar 

  22. ALTARAWNEH M, HUANG Y. In-pavement fiber Bragg grating sensors for high-speed weigh-in-motion measurements [C]// Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, 2017.

  23. PATRICIA K D M, WIM V D B, CEDRIC V. Fiber Bragg grating sensors in three asphalt pavement layers [J]. Infrastructures, 2018, 3(2): 16. DOI: https://doi.org/10.3390/infrastructures3020016.

    Article  Google Scholar 

  24. NOSENZO G, WHELAN B E, BRUNTON M, KAY D, BUYS H. Continuous monitoring of mining induced strain in a road pavement using fiber Bragg grating sensors [J]. Photonic Sensors, 2012, 3(2): 144–158. DOI: https://doi.org/10.1007/s13320-012-0077-0.

    Article  Google Scholar 

  25. RAEESI R, SOLTANI A, KING R, DISFANI M M. Field performance monitoring of waste tire-based permeable pavements [J]. Transportation Geotechnics, 2020, 24: 100384. DOI: https://doi.org/10.1016/j.trgeo.2020.100384.

    Article  Google Scholar 

  26. FRANCOIS A, ALI A, MEHTA Y. Evaluating the impact of different types of stabilised bases on the overall performance of flexible pavements [J]. International Journal of Pavement Engineering, 2019, 20(8): 938–946. DOI: https://doi.org/10.1080/10298436.2017.1366766.

    Article  Google Scholar 

  27. PEREIRA P, PAIS J. Main flexible pavement and mix design methods in Europe and challenges for the development of an European method [J]. Journal of Traffic and Transportation Engineering (English Edition), 2017, 4(4): 316–346. DOI: https://doi.org/10.1016/j.jtte.2017.06.001.

    Article  Google Scholar 

  28. PAPADOPOULOS E, SANTAMARINA J C. Inverted base pavements: Construction and performance [J]. International Journal of Pavement Engineering, 2017, 20(6): 697–703. DOI: https://doi.org/10.1080/10298436.2017.1326237.

    Article  Google Scholar 

  29. JTG F40-2004. The Chinese Technical Specification for Construction of Highway Asphalt Pavements [S]. Beijing, China, 2004. (in Chinese)

Download references

Author information

Authors and Affiliations

Authors

Contributions

PAN Qin-xue provided the idea and the field strain data, and edited the draft of manuscript. ZHENG Ce-ce conducted the literature review, and wrote the first draft of the manuscript and analyzed the measured data. LÜ Song-tao, QIAN Guo-ping, and ZHANG Jun-hui participated the field testing and analyzed the field strain data. WEN Pi-hua conducted the structural theoretical calculation. MILKOS Borges Cabrera polished the language of manuscript. ZHOU Huai-de drafted the figures of the manuscript.

Corresponding author

Correspondence to Qin-xue Pan  (潘勤学).

Ethics declarations

PAN Qin-xue, ZHENG Ce-ce, LÜ Song-tao, QIAN Guo-ping, ZHANG Jun-hui, WEN Pi-hua, MILKOS Borges Cabrera, and ZHOU Huai-de declare that they have no conflict of interest.

Additional information

Foundation item: Projects(51908071, 51708071) supported by National Natural Science Foundation of China; Project(2020JJ5975) supported by the Natural Science Foundation of Hunan Province, China; Project(18C0194) supported by the Scientific Research Project of Education Department of Hunan Province, China; Project(kfj190301) supported by Open Fund of Key Laboratory of Road Structure and Material of Ministry of Transport (Changsha University of Science & Technology), China

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Pan, Qx., Zheng, Cc., Lü, St. et al. Field measurement of strain response for typical asphalt pavement. J. Cent. South Univ. 28, 618–632 (2021). https://doi.org/10.1007/s11771-021-4626-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11771-021-4626-9

Key words

关键词

Navigation