Use of FWD Deflection Basin Parameters (SCI, BDI, BCI) for Pavement Condition Assessment
DOI:
https://doi.org/10.3846/1822-427X.2009.4.196-202Keywords:
FWD, deflection basin, surface curvature index (SCI), base damage index (BDI), base curvature index (BCI), limit valueAbstract
Current research studies relationship between Falling Weight Deflectometer (FWD) deflection basin parameters and road pavement structural condition indicators, such as fatigue cracking and permanent deformations induced by low bearing capacity of pavement, and pavement equivalent E modulus (Eeq). The primary aim of the research was to develop limit values for deflection basin parameters: surface curvature index (SCI), base damage index (BDI) and base curvature index (BCI). Analyses of data derived from the Estonian Road Databank disproved the hypothesis of relationship between deflection basin parameters and pavement defects or rutting. Deflection basin parameters and back-calculated Eeq were found to be in good correlation. Strong relationships were found between upper layers indicators (SCI and BDI) and Eeq. Relationship between subgrade indicator BCI and Eeq, found in the research, was not very strong. Based on the aforementioned relationships, and the required min equivalent modulus of particular pavement, the equations to determine the limit values of deflection basin parameters for different types of pavements were developed. As the statistical analyses of such extensive database have been done for the first time in Estonia, the determined limit values have to be evaluated in practice and, if needed, corrected.
References
Aavik, A.; Paabo, P.; Kaal, T. 2006. Assessment of Pavement Structural Strength by the Falling Weight Deflectometer, The Baltic Journal of Road and Bridge Engineering 1(4): 193–199.
Aavik, A. 2003. Methodical Basis for The Evaluation of Pavement Structural Strength in Estonian Pavement Management System (EPMS). PhD thesis. Tallinn: Tallinn University of Technology. 152 p. ISSN 1406-4766.
Arraigada, M.; Parti, M. N.; Angelone, S. M.; Martinez, F. 2009. Evaluation of Accelerometers to Determine Pavement Deflections under Traffic Loads, Materials and Structures 42(6): 779–790. DOI: 10.1617/s11527-008-9424-4
Bayrak, M. B.; Ceylan, H. 2008. Neural Network-Based Approach for Analysis of Rigid Pavement Systems Using Deflection Data, Transportation Research Record 2068: 61–70. DOI: 10.3141/2068-07
Chea, S.; Martinez, J. 2008. Using Surface Deflection for Detection of Interface Damage Between Pavement Layers, Road Materials and Pavement Design 9(SI): 359–372. DOI: 10.3166/rmpd.9hs.359-372
Dawson, T. A.; Baladi, G. Y.; Sessions, C. P.; Haider, S. W. 2009. Backcalculated and Laboratory-Measured Resilient Modulus Values, Transportation Research Record 2094: 71–78. DOI: 10.3141/2094-08
Donovan, P.; Tutumluer, E. 2009. Failing Weight Deflectometer Testing to Determine Relative Damage in Asphalt Pavement Unbound Aggregate Layers, Transportation Research Record 2104: 12–23. DOI: 10.3141/2104-02
Grenier, S.; Konrad, J. M. 2009. Dynamic Interpretation of Failing Weight Deflectometer Tests on Flexible Pavements Using the Spectral Element Method: Backcalculation, Canadian Journal of Civil Engineering 36(6): 957–968. DOI: 10.1139/L09-010
Grenier, S.; Konrad, J. M.; LeBaeuf, D. 2009. Dynamic Simulation of Falling Weight Deflectometer Tests on Flexible Pavements Using the Spectral Element Method: Forward Calculations, Canadian Journal of Civil Engineering 36(6): 944–956. DOI: 10.1139/L08-118
Kim, Y. R.; Lee, Y. C.; Ranjithan, S. R. 2000. Flexible Pavement Condition Evaluation Using Deflection Basin Parameters and Dynamic Finite Element Analysis Implemented by Artificial Neural Networks, in ASTM STP 1375 Non-Destructive Testing of Pavements and Backcalculation of Moduli, vol 3. Ed. by Tayabji, S. D.; Lukanen, E. O. American Society for Testing and Materials (ASTM International), West Conshohocken: PA, 514–530. ISBN 0803128584
Losa, M.; Bacci, R.; Leandri, P. 2008. A Statistical Model for Prediction of Critical Strains in Pavements from Deflection Measurements, Road Materials and Pavement Design 9(SI): 373–396. DOI: 10.3166/rmpd.9hs.373-396
Metsvahi, T.; Koppel, M.; Pihlak, I. jr. 2005. Maanteede projekteerimisnormid. ptk. 4 – Katendid [Standard for Road Design. Chapter 4 – Pavements]. TTÜ, Teedeinstituut [Tallinn University of Technology, Dept of Transportation].
Park, H. M. 2001. Use of Falling Weight Deflectometer Multi-Load Level Data for Pavement Strength Estimation. PhD thesis. Raleigh, North Carolina.
Seo, J. W.; Kim, S. I.; Choi, J. S.; Park, D. W. 2009. Evaluation of Layer Properties of Flexible Pavement Using a Pseudo-Static Analysis Procedure of Falling Weight Deflectometer, Construction and Building Materials 23(10): 3206–3213. DOI: 10.1016/j.conbuildmat.2009.06.009
Talvik, Ott. 2007. FWD mőőtmistulemuste alusel arvutatud parameetrite SCI, BDI ja BCI kasutamine teekatendi seisukorra hindamisel [Use of FWD Deflection Basin Parameters (SCI, BDI, BCI) for Pavement Condition Assessment]. Magistritöö [Master thesis]. Tallinn: TTÜ Teedeinstituut [Tallinn University of Technology, Dept of Transportation], 163 p.
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