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Comparative Study of the Deflection of a Flexible Pavement Under the Effect of a Low Traffic


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DOI: https://doi.org/10.15866/irece.v10i5.16539

Abstract


The flexible pavement deformations, during their services, can reach levels such that they represent a danger for the users. Among the permanent deformations, authors are interested in rutting, which is a very evolutionary phenomenon, because, it has been tried to indentify the process of evolution of rutting due to the accumulation of permanent deformations in the layers of materials composing the pavement. This work aims to propose more efficient methods of analysis of deflection basins done in the TCPW (technical control of public works) of Algiers by the Lacroix Deflectograph and Falling Weight Deflectometer (FWD), also taking into account the dispersion of the measurements along itinerary of the Médea’s national road No 18, associating a modeling work of the mechanical response of pavement and statistical processing of the measurements taken. The presented approach consists in a modeling based on the back-calculation of deflections obtained from the FWD with the ELMOD6 program, completed by an approximate analytical method, which adopts a mathematical adaptation technique. The last one uses the Boussinesq formulas with Odemark's consecutive three-layer system in order to estimate modules of pavement layer. The results of the comparative analysis show which modules of bituminous layers estimated from two techniques are in an average change of minimum deflection of 8.80%. Knowing that the average change of maximum deflection and of characteristic deflection at all test sites is respectively to 4.23% and 3.57%. So the results show that they are consistent with the measured deflection. This means too, that this comparative study validates the applicability of the analytical method because of its simplicity and speed for the structural evaluation of the flexible pavement.
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Keywords


Deflection; Flexible Pavement; Low Traffic; Rutting; Back-Calculation; Falling Weight Deflectometer

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References


Hayder Kamil Shanbaraa, Felicite Ruddockb and William Athertonc, Rutting prediction of a reinforced cold bituminous emulsion mixture using finite element modelling, Procedia Engineering, 164, 222 – 229, 2016.
https://doi.org/10.1016/j.proeng.2016.11.613

Khateeb, L.A., A. Saoud, and M.F. Al-Msouti, Rutting prediction of flexible pavements using finite element modeling, Jordan Journal of Civil Engineering, Volume 5, No. 2, 173 – 190, April 2011.

Chang, J., Lin, J., Chung, W., & Chen, D, Evaluating the structural strength of flexible pavements in Taiwan Using the falling weight deflectometer, The International Journal of Pavement Engineering, 3(3), 131–141, 2002.
https://doi.org/10.1080/1029843021000067854

Mehmet S., Serdal T., Ecir Ug˘ur K. Backcalculation of pavement layer moduli and Poisson’s ratio using data mining. Expert Systems with Applications, 38, 2600–2608, 2011.
https://doi.org/10.1016/j.eswa.2010.08.050

Shahbaz Khan, M.N.Nagabhushana, Dr. Devesh Tiwari, Dr. P.K.Jain, Comparison of Uni and Bi-directional Load Induced Rutting in Flexible Pavement with Accelerated Pavement Testing Facility (APTF), Transportation Research Procedia 17, 521 – 528, 2016.
https://doi.org/10.1016/j.trpro.2016.11.106

Arraigada, S., Partl, M. N., Angelone, S. M., & Martinez, F, Evaluation of accelerometers to determine pavement deflections under traffic loads, Materials and Structures, 42( 6), page 779.
https://doi.org/10.1617/s11527-008-9423-5

Thorbjorg Saevarsdottir., Sigurdur Erlingsson, Deformation Modeling of instrumented Flexible pavement structure, Procedia Engineering, volume 143, 937-944, 2016.
https://doi.org/10.1016/j.proeng.2016.06.076

Shahbaz khan , M.N.Nagabhushana Devesh Tiwari, P.K.Jain, Rutting in Flexible Pavement: An approach of evaluation with Accelerated Pavement Testing Facility, Procedia-Social and Behavioral Sciences 104, 149 – 157, 2013.
https://doi.org/10.1016/j.sbspro.2013.11.107

A. El Ayadi, B. Picoux, G. Lefeuve-Mesgouez, A. Mesgouez, C. Petit, An improved dynamic model for the study of a flexible pavement, Advances in Engineering Software 44, 44–53, 2012.
https://doi.org/10.1016/j.advengsoft.2011.05.038

A. Burak Goktepe a, Emine Agar b, A. Hilmi Lav, Advances in backcalculating the mechanical properties of flexible pavements. Advances in Engineering Software 37, 421–431, 2006.
https://doi.org/10.1016/j.advengsoft.2005.10.001

Nune Rakesh, A.K Jain, M. Amaranatha Reddy & K. Sudhakar Reddy. Artificial neural networks—genetic algorithm based model for backcalculation of pavement layer moduli . International Journal of Pavement Engineering, Vol. 7( No. 3) , 221–230, September 2006.
https://doi.org/10.1080/10298430500495113

Harichandran, R. S., Mahmood, T., Raab, A. R., & Baladi, G. Y. Modified Newton Algorithm for Backcalculation of Pavement Layer Properties. TRR, 1384, 15–22,1993.

Hossam F. Hassan, Ragab M. Mousa, M.ASCE and Ahmed Atef Gadallah. Comparative Analysis of Using AASHTO and WESDEF Approaches in Back-calculation of Pavement Layer Moduli. J. Transp. Eng, .129, 322-329, 2003.
https://doi.org/10.1061/(asce)0733-947x(2003)129:3(322)

Christopher T. Senseney and Michael A. Mooney. Characterization of Two-Layer Soil System Using a Lightweight Deflectometer with Radial Sensors. Journal of the Transportation Research Board. No. 2186, D.C., pp. 21–28, 2010.
https://doi.org/10.3141/2186-03

Hudsadin Sirithepmontree, Yasothorn Sapsathiarn. Dynamic soil models for backcalculation of material properties from falling weight deflectometer deflection data. procedia Engineering, 189, 152 – 157, 2017.
https://doi.org/10.1016/j.proeng.2017.05.025

J.P. Mahoney, N.F. Coetzee, R.N. Stubstad, S.W. Lee, A performance comparison of selected backcalculation computer programs, Nondestructive Testing of Pavements and Backcalculation of Moduli, American Society for Testing and Materials (ASTM), STP 1026, 470–486, 1989.
https://doi.org/10.1520/stp19823s

J. N.Karadelis. A numerical model for the computation of concrete pavement moduli: a non-destructive testing and assessment method. NDT & E International, Volume 33, Issue 2, Pages 77-84, March 2000.
https://doi.org/10.1016/s0963-8695(99)00034-1

Michael Pologruto. Study of In Situ Pavement Material Properties Determined from FWD Testing. J. Transp. Eng, 132, 742-750, 2006.
https://doi.org/10.1061/(asce)0733-947x(2006)132:9(742)

Zhou H. Comparison of backcalculated and laboratory measured moduli on AC and granular base layer materials. In: Tayabji SD, Lukanen EO, editors. NDT of pavements and backcalculation of moduli, 3. Special technical publication, STP 1375, vol. 3–37. Pennsylvania: ASTM Publication, p. 161–72, 2000.
https://doi.org/10.1520/stp14766s

Sunny Deol Guzzarlapudi, Vinod kumar Adigopula, Rakesh Kumar. Comparative study of flexible pavement layers moduli backcalculation using approximate and static approach. Materials Today: Proceedings, 4, 9812–9816, 2017.
https://doi.org/10.1016/j.matpr.2017.06.272

Mehmet Saltan a, Suna Saltan b, Ahmet S_ahiner. Fuzzy logic modeling of deflection behavior against dynamic loading in flexible pavements. Construction and Building Materials, 21, 1406–1414, 2007.
https://doi.org/10.1016/j.conbuildmat.2006.07.004

Ya-jian Wang, Zhi Hong and Jian-lin Zhang, An approximate calculation of highway pavement modulus based on FWD deflection basin, 2010 International Conference on Mechanic Automation and Control Engineering, Wuhan, 2010, pp. 2863-2866.
https://doi.org/10.1109/mace.2010.5536188

Alejandro Quijano Murillas. Application of mechanistic-empirical methods and tools for the design and rehabilitation of pavement, Submission presented to the Faculty of Graduate Studies of Laval University as part of the Master's program in Civil Engineering for obtaining the Master's degree in Science (M.Se.), Department of Civil Engineering Faculty of Science and Civil Engineering, Laval University, QUEBEC, 2010.

Mouloud Belachia, Nadjette Bouacha, An Expert System for the Dimensioning of Flexible Carriageways, In: Pradhan B. (eds) GCEC 2017. Lecture Notes in Civil Engineering, vol 9. Springer, Singapore, 2018.
https://doi.org/10.1007/978-981-10-8016-6_102

Bendjima, M., Merbouh, M., Glaoui, B., Effect of Thermal Cycles on Hot Mix Asphalt, (2017) International Review of Civil Engineering (IRECE), 8 (2), pp. 53-56.
https://doi.org/10.15866/irece.v8i2.11331

Bouacha, N., Chelghafe, H., Seboui, A., Numerical Modeling of Flexible Pavements, (2015) International Review on Modelling and Simulations (IREMOS), 8 (1), pp. 111-121.
https://doi.org/10.15866/iremos.v8i1.5258

Ninouh, T., Numerical Modeling of the Behavior of an Heterogeneous Multilayered Structure, (2014) International Journal on Engineering Applications (IREA), 2 (5), pp. 169-172.

Ayyala, D., Chehab, G., Daniel, J., Sensitivity of M-E PDG Level 2 and 3 Inputs Using Statistical Analysis Techniques for New England States, (2018) International Journal on Engineering Applications (IREA), 6 (5), pp. 169-178.
https://doi.org/10.15866/irea.v6i5.16631

Nini, R., Chalhoub, M., Effect of Soil Drainage on California Bearing Ratio of Soaked Clay, (2016) International Review of Civil Engineering (IRECE), 7 (4), pp. 92-95.
https://doi.org/10.15866/irece.v7i4.9447


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