Falling Weight Deflectometer Test Oriented Overlay Thickness Design: Case Study

Document Type : Regular Paper

Authors

1 Assistant Professor, Department of Civil Engineering, Technical and Vocational University (TVU), Tehran, Iran

2 Assistant Professor, Department of Civil Engineering, Tafresh University, Tafresh, Iran

Abstract

Falling Weight Deflectometer (FWD) can evaluate the assessment of structural conditions of pavements that require rehabilitation. Fifteen different pavement sections have been selected that six sections have located in Qom-Kashan Freeway, Iran and nine sections have located in Kashan-Qom Freeway, Iran to conduct FWD tests. FWD data have been analyzed to determine and monitor the structural adequacies of existing pavement sections includes the pavement deflection and load chart, the average deflection chart of seven geophones, and the calculated overlay thickness diagram for each station of each section. The results indicate that the average deflection for Direction: Qom-Kashan, is 6.7% less than Direction: Kashan-Qom. In this paper, the structural conditions of existing pavements have been assessed, and subsequently required overlay thickness values have been recommended from critical pavement responses computed from FWD field deflections. The results indicate that the surface of the pavement for Direction: Kashan-Qom needs 6.1% more overlay thickness than Direction: Qom-Kashan. Also, the Structural Condition Index (SCI) that is widely used on network and preliminary project level investigations has been calculated. Furthermore, a comparison is presented between calculated SCI before and after applying overlay and the effect of this index value on the pavement performance.

Graphical Abstract

Falling Weight Deflectometer Test Oriented Overlay Thickness Design: Case Study

Highlights

  • In this research, the assessment of structural conditions of pavements that require rehabilitation has been evaluated by Falling Weight Deflectometer (FWD).
  • Direction: Kashan-Qom has more deflection and less effective modulus than Direction: Qom- Kashan.
  • Based on objective observation of the surface of the pavement, Direction: Kashan-Qom needs more-overlay thickness than Direction: Qom- Kashan.
  • The results indicate that before applying overlay for two directions, the existing asphalt pavement is in severe condition.

Keywords

Main Subjects


[1]     Elshaer M, Oshone M, Dave E SJ. Assessment of the 1993 AASHTO Structural Number as a Tool for Performance Evaluation of Asphalt Pavements Using Falling Weight Deflectometer Data from LTPP. Int. Airf. Highw. Pavements Conf. ASCE, Chicago, Illinois: International Airfield and Highway Pavements Conference, ASCE; 2019.
[2]     Liu, Z.; Cui, B.; Yang, Q.; Gu X. Sensor-Based Structural Health Monitoring of Asphalt Pavements with Semi-Rigid Bases Combining Accelerated Pavement Testing and a Falling Weight Deflectometer Test. Sensors 2024;24. https://doi.org/10.3390/s24030994.
[3]     Park, B., Cho, S., Rahbar-Rastegar, R., Nantung, T. E., & Haddock JE. Use of falling weight deflectometer data to determine the effective structural number of full-depth asphalt pavements for structural condition assessment. Road Mater Pavement Des 2024;25:276–90.  https://doi.org/10.1080/14680629.2023.2200843.
 [4]    Harle SM PP. Falling Weight Deflectometer Analysis of Low Volume Roads. Constr Environ Eng 2019;4:73–80. https://doi.org/10.11648/j.jccee.20190404.11.
[5]     H. Abdulrazagh P, Farzaneh O BC. Evaluation of railway trackbed moduli using the rail falling weight test method and its back-calculation model. Proc Inst Mech Eng Part F J Rail Rapid Transit 2019;233:1–17. https://doi.org/10.1177/0954409718799800.
[6]     Fu G, Zhao Y, Zhou C LW. Determination of effective frequency range excited by falling weight deflectometer loading history for asphalt pavement. Constr Build Mater 2020;235:1–9. https://doi.org/10.1016/j.conbuildmat.2019.117792.
[7]     Phulsawat, B., Senjuntichai, A. & Senjuntichai T. Prediction of Multi-layered Pavement Moduli Based on Falling Weight Deflectometer Test Using Soft Computing Approaches. Transp Infrastruct Geotech 2024. https://doi.org/10.1007/s40515-024-00370-1.
[8]     Mayuresh Dhanraj Bakare, Jagdish Telangrao Shahu SP. Stress-Dependent Behavior of Lightly Stabilized Industrial Waste Subbase Using Falling Weight Deflectometer. Geotech Test 2024;47:21.  https://doi.org/10.1520/GTJ20220283.
[9]     X Wang, H Huang, K Zhang SS. Falling weight deflectometer dispersion curve method for pavement modulus calculation. Philos Trans R Soc A 2023;381:20220167. https://doi.org/10.1098/rsta.2022.0167.
[10]   Deng, Yong, Yazhou Zhang  and XS. Feasibility of determining asphalt pavement condition from falling weight deflectometer test and finite element model updating. Philos Trans R Soc A 2023;381:20220167. https://doi.org/10.1098/rsta.2022.0168.
[11]    Bech ND VJ. Relationship between Backcalculated and Estimated Asphalt Concrete Dynamic Modulus with Respect to Falling Weight Deflectometer Load and Temperature. Transp Res Rec J Transp Res Board 2020;2674:1–11. https://doi.org/10.1177/0361198120932.
[12]   Motamadnia A, Shirmohammadi H, Asadamregi M. Investigating the Effect of Cement and Fibers Containing Fatty Arbocell on the Mechanical and Moisture Properties of Cold Emulsion Asphalt  Mixtures. Civ Infrastruct Res 2023;9:111–23. https://doi.org/10.22091/cer.2023.9372.1477.
[13]   Arabyarmohammadi H, Sharbatdar MK, Naderpour H. Experimental Investigating the Effect of Non-steel Fibers  on the Consistency and Mechanical Properties and Toughness of RCCP. Civ Infrastruct Res 2023;9:17–33. https://doi.org/10.22091/cer.2023.8714.1435.
[14]   Rada GR, Visintine BA, Hicks RG, Cheng D VT. Emerging tools for use in pavement preservation treatment selection. 93rd Transp. Res. Board Annu. Meet., Washington, DC: 2014, p. 14–1284.
[15]   García JAR CM. Analysis of the temperature influence on flexible pavement deflection. Constr Build Mater 2011;25:3530–9. https://doi.org/10.1016/j.conbuildmat.2011.03.046.
[16]   Mack JW SR. Using remaining service life as the national performance measure of pavement assets 2. Annu. Meet. Transp. Res. Board, Washington, DC.: 2013, p. 30(31).
[17]   Chen-Ming K TT. Significance of subgrade damping on structural evaluation of pavements. Road Mater Pavement Des 2014;15:455–64. https://doi.org/10.1080/14680629.2014.884016.
 [18]  Farahani HZ, Farahani A, Fakharian P, Jahed Armaghani D. Experimental Study on Mechanical Properties and Durability of Polymer Silica Fume Concrete with Vinyl Ester Resin. Materials (Basel) 2023;16:757. https://doi.org/10.3390/ma16020757.
[19]   Zanjirani Farahani, H., Farahani A. Study on Drainage of Pavement Layers and Improvement Strategies: Case Study. J Rehabil Civ Eng 2023;11:111–26. https://doi.org/10.22075/JRCE.2022.25393.1575.
[20]   Mohammadi Janaki, A., Shafabakhsh, G., Hassani A. Evaluation of Mechanical Properties and Durability of Concrete Pavement Containing Electric Arc Furnace Slag and Carbon Nanostructures. J Rehabil Civ Eng 2023;11:1–20. https://doi.org/10.22075/JRCE.2021.23149.1499.
[21]   Shafabakhsh, G., Jafari Ani, O., Mirabdolazimi S. Rehabilitation of Asphalt Pavement to Improvement the Mechanical and Environmental Properties of Asphalt Concrete by Using of Nano Particles. J Rehabil Civ Eng 2021;9:1–20. https://doi.org/10.22075/JRCE.2019.17407.1326.
[22]   Solatifar, N., Lavasani S. Development of An Artificial Neural Network Model for Asphalt Pavement Deterioration Using LTPP Data. J Rehabil Civ Eng 2020;8:121–32. https://doi.org/10.22075/JRCE.2019.17120.1328.
[23]   Bech N. Use of Falling Weight Deflectometer Testing in the Pavement ME AC/AC Overlay Design Procedure. University of Pittsburgh, 2018.
[24]   Mittal, A, Ganvir, D, Gola K. Overlay thickness estimation using falling weight deflectometer and benkelan beam method-A case study. NISCAIR-CSIR, India 2020;28:39–47.
[25]   Gerardo, F, Subagio, B, Jihanny, J, Andari T. Comparison analysis of overlay thickness using the AASHTO 1993 method and the everseries program. IOP Conf. Ser. Mater. Sci. Eng., Jakarta, Indonesia: 2019. https://doi.org/10.1088/1757-899X/508/1/012070.
[26]   Rahman, M, Vargas-Nordcbeck A. Structural Performance of Sections Treated with Thin Overlays for Pavement Preservation. J Transp Res Board 2021;2675:382–93. https://doi.org/10.1177/0361198121997816.
[27]   Officials AA of SH and T. AASHTO Guide for Design of Pavement Structures. 1993.
[28]   Horak E, Hefer A, Maina J ES. Structural number determined with the falling weight deflectometer and used as benchmark methodology. IEEE Proc. Hong Kong, China: 2014.
[29]   Zhang Z, Murphy MR PS. Implementation study of a structural condition index at the network level. 8th Int. Conf. Manag. Pavement Assets, ICPMA 145, 2011.
[30]   Zhang Z, Claros G, Manual L DI. Evaluation of the pavement structural condition at network level sing falling weight deflectometer (FWD) data. 82nd Transp. Res. Board Meet., Washington, DC, USA: 2003.