Influence of Seed Layer Moduli on Backcalculation Procedure and on Overlay Design of Flexible Pavements

Abstract

The seed moduli selected for backcalculation analysis of multilayer flexible pavement can have significant effects on the performance of backcalculation software and, sometimes, the final solutions of the overlay designs. Therefore, this paper aims to analyze the variability of the resilient moduli (MR) obtained by backcalculation programs, taking different seed moduli as input data. To this end, data obtained from non-destructive structural evaluation (falling weight deflectometer [FWD]) were used in three different regions of Brazil. Thereafter, the deflection basin values and the seed moduli were inputted into the two backcalculation methods: linear elastic and finite element. By varying the RM seed of one of the layers by 100%, the percentage differences in the backcalculated moduli were computed within the range of typical resilient modulus (MR) values for paving materials, and close to the upper and lower thresholds of the usual moduli in Brazil. Furthermore, with the data provided by backcalculation software and crack monitoring, these were inputted into the flexible pavement design software (MeDiNa) to also analyze the influence of the seed moduli variability on the pavement overlay design, through the cracked area percentage parameter. Therefore, it was found that the seed moduli have a high influence on the backcalculated moduli, with percentage differences of up to 68.30%, mainly for the base and subbase layers of pavement. Even with the differences obtained in the values of the backcalculated moduli, it was found that the seed moduli did not cause a significant impact on the overlay design in which the percentage difference between the cracking predicted for the surface layer was less than 2.5%.

Keywords

infrastructure pavements design and rehabilitation of asphalt pavements asphalt empirical methods mechanistic-empirical pavement design pavement design pavement layers pavement structural testing and evaluation backcalculation deflectometer deformation moduli nonlinear stiffness test tracks

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References

Huang

Y. H.

Pavement Analysis and Design. Prentice-Hall Inc., Upper Saddle River, NJ, 1993.

Rada

G. R.

Nazarian

Visintine

B. A.

Siddharthan

R. V.

Thyagarajan

Pavement Structural Evaluation at the Network Level. No. FHWA-HRT-15-074. United States Federal Highway Administration, Office of Infrastructure Research and Development, McLean, VA, 2016.

Wang

Zhao

Jiang

Qiu

Asphalt Pavement Modulus Backcalculation Using Surface Deflections under Moving Loads. Computer-Aided Civil and Infrastructure Engineering, Vol. 35, No. 11, 2020, pp. 1246–1260.

Saltan

V. E.

Aktas

Artificial Neural Networks–Based Backcalculation of the Structural Properties of a Typical Flexible Pavement. Neural Computing and Applications, Vol. 23, No. 6, 2013, pp. 1703–1710.

Abd El-Raof

H. S.

Abd El-Hakim

R. T.

El-Badawy

S. M.

Afify

H. A.

Simplified Closed-Form Procedure for Network-Level Determination of Pavement Layer Moduli from Falling Weight Deflectometer Data. Journal of Transportation Engineering, Part B: Pavements, Vol. 144, No. 4, 2018, p. 04018052.

Jimoh

Y. A.

Itiola

I. O.

Afolabi

A. A.

Destructive and Non-Destructive Determination of Resilient Modulus of Hot Mix Asphalt under Different Environmental Conditions. International Journal of Pavement Engineering, Vol. 16, No. 10, 2015, pp. 857–867.

Pierce

L. M.

Bruinsma

J. E.

Smith

K. D.

Wade

M. J.

Chatti

Vandenbossche

Using Falling Weight Deflectometer Data with Mechanistic-Empirical Design and Analysis, Volume III: Guidelines for Deflection Testing, Analysis, and Interpretation. No. FHWA-HRT-16-011. United States Federal Highway Administration, McLean, VA, 2017.

Priddy

L. P.

Bianchini

Gonzalez

C. R.

Dossett

C. S.

Evaluation of Procedures for Backcalculation of Airfield Pavement Moduli. No. ERDC/GSL-TR-15-31. Engineer Research and Development Center, Geotechnical and Structures Laboratory, Vicksburg, MS, 2015.

Fuentes

Taborda

Horak

Bai

Walubita

L. F.

A Probabilistic Approach to Detect Structural Problems in Flexible Pavement Sections at Network Level Assessment. International Journal of Pavement Engineering, 2020, pp. 1–14. https://doi.org/10.1080/10298436.2020.1828586.

10.

Alkasawneh

W. M.

Backcalculation of Pavement Moduli Using Genetic Algorithms. Doctoral dissertation. University of Akron, 2007.

11.

Harichandran

R. S.

Mahmood

Raab

A. R.

Baladi

G. Y.

Backcalculation of Pavement Layer Moduli, Thickness and Stiff Layer Depth Using a Modified Newton Method. In Nondestructive Testing of Pavements and Backcalculation of Moduli: Second Volume ( Baladi

G. Y.

, ed.), ASTM International, West Conshohocken, PA, 1994.

12.

Mehta

Roque

Evaluation of FWD Data for Determination of Layer Moduli of Pavement. Journal of Materials in Civil Engineering, Vol. 15, No. 1, 2003, pp. 25–31. http://dx.doi.org/10.1061/(ASCE)0899-1561(2003)15:1(25).

13.

Timm

Tutu

Determination of an Optimum Backcalculation Cross Section for Unconventional Pavement Profiles. Transportation Research Record: Journal of the Transportation Research Board, 2017. 2641: 48–57.

14.

Lytton

R. L.

Backcalculation of Pavement Layer Properties. In Nondestructive Testing of Pavements and Backcalculation of Moduli ( Bush

A. J.

, ed.), ASTM International, West Conshohocken, PA, 1989.

15.

Von Quintus

H. L.

Killingsworth

Design Pamphlet for the Backcalculation of Pavement Layer Moduli in Support of the 1993 AASHTO Guide for the Design of Pavement Structures. No. FHWA-RD-97-076. United States Federal Highway Administration, Office of Engineering Research and Development, McLean, VA, 1997.

16.

Rwebangira

Hicks

R. G.

Truebe

Sensitivity Analysis of Selected Backcalculation Procedures. Transportation Research Record: Journal of the Transportation Research Board, 1987. 1117: 25–37.

17.

Lee

H. S.

Development of a New Solution for Viscoelastic Wave Propagation of Pavement Structures and its Use in Dynamic Backcalculation. Michigan State University, Civil Engineering, 2013.

18.

Lee

H. S.

Steele

Von Quintus

Who Says Backcalculation is Only about Layer Moduli?

Transportation Research Record: Journal of the Transportation Research Board, 2019. 2673: 317–331.

19.

Maina

J. W.

Higashi

Kikuta

Matsui

Influence of Seed Values on Dynamic Backcalculation Results. MAIREPAV4, Belfast, 2005, pp. 18–20.

20.

Matsui

Hachiya

Maina

J. W.

Kikuta

Nagae

Influence of Seed Layer Moduli on Finite Element Method–Based Modulus Backcalculation Results. Transportation Research Record: Journal of the Transportation Research Board, 2006. 1951: 122–136.

21.

Fwa

T. F.

Rani

T. S.

Seed Modulus Generation Algorithm for Backcalculation of Flexible Pavement Moduli. Transportation Research Record: Journal of the Transportation Research Board, 2005. 1905: 117–127.

22.

Ranjithan

S. R.

Kim

Y. R.

New Relationships between Falling Weight Deflectometer Deflections and Asphalt Pavement Layer Condition Indicators. Transportation Research Record: Journal of the Transportation Research Board, 2002. 1806: 48–56.

23.

Horak

Benchmarking the Structural Condition of Flexible Pavements with Deflection Bowl Parameters. Journal of the South African Institution of Civil Engineering, Vol. 50, No. 2, 2008, pp. 2–9.

24.

Kumlai

Sangpetngam

Chalempong

Development of Equations for Determining Layer Elastic Moduli Using Pavement Deflection Characteristics. TRB Paper, 2013, pp. 14-0976.

25.

Rocha

Marques

Silva

Predicting Equations for Determining Layer Elastic Moduli by Using Deflection Basin Parameters (DBPs) from Falling Weight Deflectometer. International Journal of Pavement Engineering, 2021, pp. 1–13. https://doi.org/10.1080/10298436.2021.1972296.

26.

Bazi

Assi

T. B.

Asphalt Concrete Master Curve Using Dynamic Backcalculation. International Journal of Pavement Engineering, 2020, pp. 1–12. https://doi.org/10.1080/10298436.2020.1733567.

27.

Setiadji

B. H.

Evaluation of Proposed Backcalculation Procedure in Indonesia Overlay Design Guide. Procedia Engineering, Vol. 171, 2017, pp. 1405–1412. https://doi.org/10.1016/j.proeng.2017.01.456Get.

28.

Rocha

M. L.

de Oliveira

G. L.

Marques Silva

R. C.

Motta

L. M. G.

Influência da condição de aderência entre camadas no dimensionamento de reforço de pavimentos asfálticos. TRANSPORTES, Vol. 29, No. 2, 2021, p. 2419. https://doi.org/10.14295/transportes.v29i2.2419.

29.

Wang

Xie

Gagnon

Prediction of Airfield Pavement Responses from Surface Deflections: Comparison between the Traditional Backcalculation Approach and the ANN Model. Road Materials and Pavement Design, Vol. 22, No. 9, 2021, pp. 1930–1945.

30.

Wang

Development of ANN-GA Program for Backcalculation of Pavement Moduli under FWD Testing with Viscoelastic and Nonlinear Parameters. International Journal of Pavement Engineering, Vol. 20, No. 4, 2019, pp. 490–498.

31.

Silva

R. C.

Motta

L. M. G.

Vianna

K. K. L.

Júnior

J. S.

Costa

D. P.

Levantamento Visual Contínuo Informatizado (LVCI) Pelo Método da Varredura–Comparação com outros métodos. Revista Estradas, Vol. 23, 2018, pp. 64–70.

32.

Qin

Predicting Flexible Pavement Structural Response Using Falling Weight Deflectometer Deflections. Doctoral dissertation. Ohio University, 2010.

33.

Lima

C. D. A.

da Motta

L. M. G.

Aragão

F. T. S.

Guimarães

A. C. R.

Mechanical Characterization of Fine-Grained Lateritic Soils for Mechanistic-Empirical Flexible Pavement Design. Journal of Testing and Evaluation, Vol. 48, No. 1, 2020, pp. 1–17.

34.

Zhou

Comparison of Backcalculated and Laboratory Measured Moduli on AC and Granular Base Layer Materials. In Nondestructive Testing of Pavements and Backcalculation of Moduli: Third Volume ( Lukanen

E. O.

, ed.), ASTM International, West Conshohocken, PA, 2000.

35.

Rahim

George

K. P.

Falling Weight Deflectometer for Estimating Subgrade Elastic Moduli. Journal of Transportation Engineering, Vol. 129, No. 1, 2003, pp. 100–107.

36.

Kim

Siddiki

N. Z.

Evaluation of In-Situ Stiffness of Subgrade by Resilient and FWD Modulus. Report No. FHWA/IN/JTRP-2010/17. Indiana Department of Transportation, Indianapolis, 2010.

37.

Hossain

Romanoschi

Gisi

A. J.

Seasonal and Spatial Variation of Subgrade Response. In Pavement Subgrade, Unbound Materials, and Nondestructive Testing ( Mamlouk

M. S.

, ed.), American Society of Civil Engineers, Reston, VA, 2000, pp. 150–166.

38.

Kheradmandi

Modarres

Precision of Back-Calculation Analysis and Independent Parameters-Based Models in Estimating the Pavement Layers Modulus – Field and Experimental Study. Construction and Building Materials, Vol. 171, 2018, pp. 598–610.

39.

Houston

W. N.

Mamlouck

M. S.

Perera

R. W.

Laboratory Versus Nondestructive Testing for Pavement Design. Journal of Transportation Engineering, Vol. 118, No. 2, 1992, pp. 207–222.

40.

Rahman

M. M.

Characterization of Subgrade Resilient Modulus for MEPDG and the Effects on Pavement Rutting. Doctoral dissertation. University of South Carolina, 2017.

41.

Medina

Motta

L. M. G.

Mecânica dos Pavimentos, 3rd ed. Editora Interciência, Rio de Janeiro/RJ, 2015.

42.

Ameri

Yavari

Scullion

Comparison of Static and Dynamic Backcalculation of Flexible Pavement Layers Moduli Using Four Software. Asian Journal of Applied Sciences, Vol. 2, No. 3, 2009, pp. 197–210.

43.

Lopes

R. A.

Avaliação de programas de retroanálise de bacias deflectométricas - aplicação a um trecho de uma rodovia federal. Doctoral dissertation. UFRJ/COPPE/Programa de Engenharia Civil, Rio de Janeiro/RJ, 2019.

44.

Von Quintus

H. L.

Rao

Irwin

L. H.

Long-Term Pavement Performance Program Determination of In-Place Elastic Layer Modulus: Backcalculation Methodology and Procedures. No. FHWA-HRT-15-036. United States Federal Highway Administration, Office of Infrastructure Research and Development, McLean, VA, 2015.