Significance for Road Quality of Asphalt Pavement Indicators to Evaluate Violation Tolerance of Limit States

Authors

  • Prof. Dr. Arnoldas Norkus Department of Reinforced Concrete Structures and Geotechnics, Faculty of Civil Engineering, Vilnius Gediminas Technical University, Saulėtekio al. 11, Vilnius, Lithuania https://orcid.org/0000-0001-5204-4038
  • Prof. Dr. Habil. Henrikas Sivilevičius Civil Engineering Research Centre, Vilnius Gediminas Technical University, Saulėtekio al. 11, Vilnius, Lithuania https://orcid.org/0000-0001-7523-0722

DOI:

https://doi.org/10.7250/bjrbe.2025-20.660

Keywords:

asphalt pavement, criteria weights, expert evaluation, limit values, MCDM, permissible deviation, quality indices, quality assurance

Abstract

Pavement must have the characteristics that allow safe, fast, comfortable, economical and reliable vehicle traffic. The normative documents introduce limit values and permissible deviations of the controlled parameters of the road pavement, for which penalty deductions are levied if they are not satisfied or exceeded. The asphalt pavement installation rules for the ĮT ASFALTAS 08 contain 10 such indicators, whose relevance in respect of road quality is investigated in this paper. The relative weights of each indicator (defect) have been determined using assessments from 91 experts. The methods used in the study are rank correlation, ARTIW-L, ARTIW-N (Average Rank Transformation into Weight Linear and Non-linear), and DPW (Direct Percentage Weight). The expert team’s opinions are consistent because the empirical concordance coefficient value of 0.715 is 34.6 times higher than the minimum concordance coefficient value of 0.021. The most important indicators for the experts are the lower degree of compaction, the lower thickness of the layer, and the lower amount of binder. A pilot project dedicated to determining the required number of experts has shown that the number of experts in a team, exceeding 20, has almost no effect on the average of ranks and percentage weights of the criteria.

References

Ai, Q., Huang, J., Du, S., Yang, K., & Wang, H. (2022). Comprehensive evaluation of very thin asphalt overlays with different aggregate gradations and asphalt materials based on AHP and TOPSIS. Buildings, 12(8), Article 1149. https://doi.org/10.3390/buildings12081149 DOI: https://doi.org/10.3390/buildings12081149

Abreha, D. A. (2007). Analysing public transport performance using efficiency measures and spatial analysis; the case of Addis Ababa, Ethiopia [MSc Thesis, International Institute for Geo-Information Science and Earth Observation], Enschede, The Netherlands. https:// www.muthar-alomar.com/wp-content/uploads/2013/01/Analysing-Public-Transport- Performance.pdf

Alkasawneh, W., Pan, E., Han, F., Zhu, R., & Green, R. (2007). Effect of temperature variation on pavement responses using 3D multilayered elastic analysis. International Journal of Pavement Engineering, 8(3), 203–212. https://doi.org/10.1080/10298430601116741 DOI: https://doi.org/10.1080/10298430601116741

Androjić, I., & Dimter, S. (2015). Influence of compaction temperature on the properties of Marshall specimens. The Baltic Journal of Road and Bridge Engineering, 10(4), 309–315. https://doi.org/10.3846/bjrbe.2015.39 DOI: https://doi.org/10.3846/bjrbe.2015.39

Anupam, K., Srirangam, S. K., Scarpas, A., & Kasbergen, C. (2013). Influence of temperature on tire-pavement friction. Transportation Research Record, 2369(1), 114–124. https://doi.org/10.3141/2369-13 DOI: https://doi.org/10.3141/2369-13

Asphalt overlays for highway and street rehabilitation. (1999). The Asphalt Institute, Manual Series No. 17, Lexington, Ky. https://www.scribd.com/document/430544379/ Asphalt-Institute-MS-17

Baltrušaitis, A., Vaitkus, A., & Židanavičiūtė, J. (2022). Relevance of laboratory and non- destructive testing methods of density. The Baltic Journal of Road and Bridge Engineering, 17(1), 143–166. https://doi.org/10.7250/bjrbe.2022-17.555 DOI: https://doi.org/10.7250/bjrbe.2022-17.555

Blazejowski, K., & Styk, S. (2009). Technology of asphalt layers (in Polish). Wydawnictwa Komunikacji i Łączności.

Bražiūnas, J., & Sivilevičius, H. (2010). The bitumen batching system’s modernization and its effective analysis at the asphalt mixing plant. Transport, 25(3), 325–335. https://doi.org/10.3846/transport.2010.40 DOI: https://doi.org/10.3846/transport.2010.40

Brown, E. R., Collins, R., & Brownfield, J. R. (1989). Investigation of segregation of asphalt mixtures in the state of Georgia. Transportation Research Record, 1217, 1–8. https://onlinepubs.trb.org/Onlinepubs/trr/1989/1217/1217-001.pdf

Hanzík, V., Klapka, P., Mondschein, P., Luxemburk, F., Otta, M., & Sova, D. (2015). Laying of compacted asphalt mixtures. Revised and expanded edition with calculator program (in Czech). Association for Road Construction Prague.

Haryanto, I., & Takahashi, O. (2007). Effect of aggregate gradation on workability of hot mix asphalt mixtures. The Baltic Journal of Road and Bridge Engineering, 2(1), 21–28. https://bjrbe-journals.rtu.lv/bjrbe/article/view/1822-427X.2007.1.21%E2%80%9328

Hofko, B., Handle, F., Eberhardsteiner, L., Hospodka, M., Blab, R., Füssl, J., & Grothe, H. (2015). Alternative approach toward the aging of asphalt binder. Transportation Research Record, 2505(1), 24–31. https://doi.org/10.3141/2505-04 DOI: https://doi.org/10.3141/2505-04

Hýzl, P., Dašek, O., Varaus, M., Stehlík, D., Coufalík, P., Dašková, J., Krčmová, I., & Nekulova, P. (2016). The effect of compaction degree and binder content on performance properties of asphalt mixtures. The Baltic Journal of Road and Bridge Engineering, 11(3), 222–232. https://doi.org/10.3846/bjrbe.2016.26 DOI: https://doi.org/10.3846/bjrbe.2016.26

ĮT ASFALTAS 08 (2008). The installation rules of the roads pavement asphalt layers (in Lithuanian). Lietuvos Automobilių Kelių Direkcija.

Jacques, C., Daniel, J. S., Bennert, T., Reinke, G., Norouzi, A., Ericson, C., Mogawer, W., & Kim, Y. R. (2016). Effect of silo storage time on the characteristics of virgin and reclaimed road pavement mixture. Transportation Research Record, 2573(1), 76–85. https://doi.org/10.3141/2573-10 DOI: https://doi.org/10.3141/2573-10

Jitsangiam, P., Chindaprasirt, P., & Nikraz, H. (2013). An evaluation of the suitability of SUPERPAVE and Marshall asphalt mix designs as they relate to Thailand’s climatic conditions. Construction and Building Materials, 40, 961–970. https://doi.org/10.1016/j.conbuildmat.2012.11.011 DOI: https://doi.org/10.1016/j.conbuildmat.2012.11.011

Karimi, S. S., Goulias, D. G., & Schwartz, C. W. (2012). Evaluation of superpave HMA mixture properties at the plant versus behind the paver: Statistical comparison of QC and QA data. Journal of Transportation Engineering, 138(7), 924–932. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000399 DOI: https://doi.org/10.1061/(ASCE)TE.1943-5436.0000399

Kassem, E., Awed, A., Masad, E. A., & Little, D. N. (2013). Development of predictive model for skid loss of road pavements. Transportation Research Record, 2372(1), 83–96. https://doi.org/10.3141/2372-10 DOI: https://doi.org/10.3141/2372-10

Kendall, M., & Gibbons, J. D. (1990). Rank correlation methods (5th ed.). Oxford University Press.

LaVassar, C. J., Mahoney, J., & Willoughby, K. (2009). Statistical assessment of quality assurance- quality control data for hot mix asphalt (Rep. WA-RD 686.1). Task 29 QA-QC Comparison. Washington: Washington State Transportation Centre, Olympia.

Lehmann, S., Leppla, S., & Norkus, A. (2020). Experimental study of the modulus of deformation determined by static and dynamic plate load tests. The Baltic Journal of Road and Bridge Engineering, 15(4), 109–124. https://doi.org/10.7250/bjrbe.2020-15.497 DOI: https://doi.org/10.7250/bjrbe.2020-15.497

Liu, F., & Wen, H. (2015). Prediction of rheological and damage properties of asphalt binders that result from oxidative aging. Transportation Research Record, 2505(1), 92–98. https://doi.org/10.3141/2505-12 DOI: https://doi.org/10.3141/2505-12

Maskeliūnaitė, L., & Sivilevičius, H. (2021). Identifying the importance of criteria for passenger choice of sustainable travel by train using ARTIW and IHAMCI methods. Applied Sciences, 11(23), Article 11503. https://doi.org/10.3390/app112311503 DOI: https://doi.org/10.3390/app112311503

Mieczkowski, P. (2010). Exchange of heat in the process of HMA compaction. The Baltic Journal of Road and Bridge Engineering, 5(4), 191–198. https://doi.org/10.3846/bjrbe.2010.27 DOI: https://doi.org/10.3846/bjrbe.2010.27

Montgomery, D. C. (2013). Decision and analysis of experiments. International student version (8ht ed.). John Wiley & Sons, Inc.

Múčka, P. (2012a). Relationship between international roughness index and straightedge index. Journal of Transportation Engineering, 138(9), 1099–1112. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000417 DOI: https://doi.org/10.1061/(ASCE)TE.1943-5436.0000417

Múčka, P. (2012b). Longitudinal road profile spectrum approximation by split straight lines. Journal of Transportation Engineering, 138(2), 243–251. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000314 DOI: https://doi.org/10.1061/(ASCE)TE.1943-5436.0000314

Navikas, D., Sivilevičius, H., & Bulevičius, M. (2018). Investigation and evaluation of railway ballast properties variation during technological processes. Construction and Building Materials, 185, 325–337. https://doi.org/10.1016/j.conbuildmat.2018.07.090 DOI: https://doi.org/10.1016/j.conbuildmat.2018.07.090

Navikas, D., Sivilevičius, H., & Bulevičius, M. (2016). Determination and evaluation of railway aggregate sub-ballast gradation and other properties variation. Journal of Civil Engineering and Management, 22(5), 699–710. https://doi.org/10.3846/13923730.2016.1177586 DOI: https://doi.org/10.3846/13923730.2016.1177586

Ožbolt, M., Rukavina, T., & Domitrović, J. (2012). Comparison of the pavement layers thickness measured by georadar and conventional methods – examples from Croatia. The Baltic Journal of Road and Bridge Engineering, 7(1), 30–35. https://doi.org/10.3846/bjrbe.2012.04 DOI: https://doi.org/10.3846/bjrbe.2012.04

Özgan, E., Serin, S., & Kap, T. (2013). Multi-faceted investigation into the effects of hot-mix asphalt parameters on Marshall Stability. Construction and Building Materials, 40, 419–425. https://doi.org/10.1016/j.conbuildmat.2012.11.002 DOI: https://doi.org/10.1016/j.conbuildmat.2012.11.002

Petkevičius, E., Laurinavičius, A., Petkevičius, R., & Babickas, R. (2009). Effect of components content on properties of hot mix asphalt mixture and concrete. The Baltic Journal of Road and Bridge Engineering, 4(4), 161–167. https://doi.org/10.3846/1822-427X.2009.4.161-167 Petkevičius, K., & Sivilevičius, H. (2008). Necessary measures for ensuring the quality of hot mix asphalt in Lithuania. The Baltic Journal of Road and Bridge Engineering, 3(1), 29–37. https://bjrbe-journals.rtu.lv/bjrbe/article/view/1822-427X.2008.3.29%E2%80%9337 DOI: https://doi.org/10.3846/1822-427X.2009.4.161-167

Plati, C., & Georgouli, K. (2014). Field investigation of factors affecting skid resistance variations in road pavements. The Baltic Journal of Road and Bridge Engineering, 9(2), 108–114. https://doi.org/10.3846/bjrbe.2014.14 DOI: https://doi.org/10.3846/bjrbe.2014.14

Podvezko, V. (2008). Complex estimation of complex quantities. Business: Theory and Practice, 9(3), 160–168. https://doi.org/10.3846/1648-0627.2008.9.160-168 DOI: https://doi.org/10.3846/1648-0627.2008.9.160-168

Pokorski, J., Reński, A., & Sar, H. (2015). System for investigation of friction properties of the road pavement. The Baltic Journal of Road and Bridge Engineering, 10(2), 126–131. https://doi.org/10.3846/bjrbe.2015.16 DOI: https://doi.org/10.3846/bjrbe.2015.16

Pulugurtha, S. S., Kusam, P. R., & Patel, K. J. (2012). Assessment of the effect of pavement macrotexture on interstate crashes. Journal of Transportation Engineering, 138(5), 610–617. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000357 DOI: https://doi.org/10.1061/(ASCE)TE.1943-5436.0000357

Remišová, E. (2015). Effect of film thickness on resistance to permanent deformation in asphalt mixtures. The Baltic Journal of Road and Bridge Engineering, 10(4), 333–339. https://doi.org/10.3846/bjrbe.2015.42 DOI: https://doi.org/10.3846/bjrbe.2015.42

Saaty, T. L. (1980). The analytic hierarchy process. McGraw-Hill. https://doi.org/10.1002/0470011815.b2a4a002 DOI: https://doi.org/10.21236/ADA214804

Sarker, P., Mishra, D., Tutumluer, E., & Lackey, S. (2015). Overlay thickness project for low- volume roads: mechanistic-empirical approach with nondestructive deflection testing and pavement damage models. Transportation Research Record, 2509(1), 46–56. https://doi.org/10.3141/2509-06 DOI: https://doi.org/10.3141/2509-06

Sayers, M. W., & Karamihas, S. M. (1998). The little book of profiling: Basic information about measuring and interpreting road profiles. University of Michigan, Transportation Research Institute.

Sivilevičius, H., & Martišius, M. (2023). The significance of the factors increasing the road pavement recycling rate in the country, determined using multiple-criteria decision-making methods. Applied Sciences, 13(22), Article 12226. https://doi.org/10.3390/app132212226 DOI: https://doi.org/10.3390/app132212226

Sivilevičius, H., Podvezko, V., & Vakrinienė, S. (2011). The use of constrained and unconstrained optimization models in gradation project of hot mix asphalt mixture. Construction and Building Materials, 25(1), 115–122. https://doi.org/10.1016/j.conbuildmat.2010.06.050 DOI: https://doi.org/10.1016/j.conbuildmat.2010.06.050

Sivilevičius, H., Vaitkus, A., & Čygas, D. (2024). Modelling and significance assessment of road construction participant and user benefits using expert evaluation methods. Technological and Economical Development of Economy, 30(5),1486–1509. https://doi.org/10.3846/tede.2024.21881 DOI: https://doi.org/10.3846/tede.2024.21881

Sivilevičius, H., & Vislavičius, K. (2008). Stochastic simulation of the influence of variation of mineral material grading and dose weight on the homogeneity of hot-mix asphalt. Construction and Building Materials, 22(9), 2007–2014. https://doi.org/10.1016/j.conbuildmat.2007.07.001 DOI: https://doi.org/10.1016/j.conbuildmat.2007.07.001

Sivilevičius, H., Zavadskas, E. K., & Turskis, Z. (2008). Quality attributes and complex assessment methodology of asphalt mixing plant. The Baltic Journal of Road and Bridge Engineering, 3(3), 161–166. https://doi.org/10.3846/1822-427X.2008.3.161-166 DOI: https://doi.org/10.3846/1822-427X.2008.3.161-166

Thodesen, C. C., Lerfald, B. O., & Hoff, I. (2012). Review of road pavement evaluation methods and current applications in Norway. The Baltic Journal of Road and Bridge Engineering, 7(4), 246–252. https://doi.org/10.3846/bjrbe.2012.33 DOI: https://doi.org/10.3846/bjrbe.2012.33

Vislavičius, K., & Sivilevičius, H. (2013). Effect of recycled road pavement gradation variation on the homogeneity of recycled hot-mix asphalt. Archives of Civil and Mechanical Engineering, 13(3), 345–353. https://doi.org/10.1016/j.acme.2013.03.003 DOI: https://doi.org/10.1016/j.acme.2013.03.003

Williams, K. L., Cox, B. C., Howard, I. L., & Cooley, L. A. (2015). Models of asphalt concrete field compactibility with focus on lift thickness. Transportation Research Record, 2504(1), 135–147. https://doi.org/10.3141/2504-16 DOI: https://doi.org/10.3141/2504-16

Zulkati, A., Diew, W. Y., & Delai, D. S. (2012). Effects of fillers on properties of asphalt-concrete Mixture. Journal of Transportation Engineering, 138(7), 902–910. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000395 DOI: https://doi.org/10.1061/(ASCE)TE.1943-5436.0000395

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Published

24.09.2025

How to Cite

Norkus, A., & Sivilevičius, H. (2025). Significance for Road Quality of Asphalt Pavement Indicators to Evaluate Violation Tolerance of Limit States. The Baltic Journal of Road and Bridge Engineering, 20(3), 1-25. https://doi.org/10.7250/bjrbe.2025-20.660