Abstract
The assessment of asphalt pavement structures with diversified designs and constructions has been a critical challenge due to the practical limitations in testing and methodology. Here, we propose a complex network approach to the evaluation of longitudinal asphalt pavement performances in the Research Institute of Highway Ministry of Transport track (RIOHTrack). We add to the growing field in which network approaches are employed and indicate the profound application in understanding pavement structures. Specifically, similar and disparate pavement performances are revealed regardless of their predefined design and construction categories. Evidence shows that short-term pavement performance depends on the strength of the subbase structure, whereas long-term performance relies on the thickness of the asphalt layer. In addition, our results indicate that recycling materials could be an important substitute for reducing the thickness of asphalt concrete and maintaining a healthy service life.
Article PDF
Similar content being viewed by others
References
Timm D H, Newcomb D E. Perpetual pavement design for flexible pavements in the US. Int J Pavement Eng, 2006, 7: 111–119
Hernando D, del Val M A. Guidelines for the design of semi-rigid long-life pavements. Int J Pavement Res Tech, 2016, 9: 121–127
Jamshidi A, White G. Evaluation of performance and challenges of use of waste materials in pavement construction: a critical review. Appl Sci, 2020, 10: 226
Barriera M, Pouget S, Lebental B, et al. In situ pavement monitoring: a review. Infrastructures, 2020, 5: 18
Yu J, Zhang X, Xiong C. A methodology for evaluating micro-surfacing treatment on asphalt pavement based on grey system models and grey rational degree theory. Constr Build Mater, 2017, 150: 214–226
Assogba O C, Tan Y, Zhou X, et al. Numerical investigation of the mechanical response of semi-rigid base asphalt pavement under traffic load and nonlinear temperature gradient effect. Constr Build Mater, 2020, 235: 117406
Reza B, Sadiq R, Hewage K. Emergy-based life cycle assessment (Em-LCA) for sustainability appraisal of infrastructure systems: a case study on paved roads. Clean Techn Environ Policy, 2014, 16: 251–266
Kodippily S, Tighe S L, Henning T F P, et al. Evaluating pavement performance through smart monitoring-effects of soil moisture, temperature and traffic. Road Mater Pavement Des, 2018, 19: 71–86
Yagi H, Yanagitani T, Numazawa T, et al. The physical properties of transparent Y3Al5O12. Ceramics Int, 2007, 33: 711–714
Watson D K, Rajapakse R. Seasonal variation in material properties of a flexible pavement. Can J Civ Eng, 2000, 27: 44–54
Wang T H, Su L J, Zhai J Y. A case study on diurnal and seasonal variation in pavement temperature. Int J Pavement Eng, 2014, 15: 402–408
Alataş T, Yılmaz M, Kök B V, et al. Comparison of permanent deformation and fatigue resistance of hot mix asphalts prepared with the same performance grade binders. Constr Build Mater, 2012, 30: 66–72
Yu M, You Z, Wu G, et al. Measurement and modeling of skid resistance of asphalt pavement: a review. Constr Build Mater, 2020, 260: 119878
Chen L, Cong L, Dong Y, et al. Investigation of influential factors of tire/pavement noise: a multilevel Bayesian analysis of full-scale track testing data. Constr Build Mater, 2021, 270: 121484
Gong H, Sun Y, Shu X, et al. Use of random forests regression for predicting IRI of asphalt pavements. Constr Build Mater, 2018, 189: 890–897
Huffman J E. Full-depth pavement reclamation: state of the practice. J Assoc Asphalt Pav, 1997, 66: 746–759
Lane B, Kazmierowski T. Ten-year performance of full-depth reclamation with expanded asphalt stabilization on trans-Canada highway, Ontario, Canada. Transpation Res Record, 2012, 2306: 45–51
Jiang X, Zhang M, Xiao R, et al. An investigation of structural responses of inverted pavements by numerical approaches considering nonlinear stress-dependent properties of unbound aggregate layer. Constr Build Mater, 2021, 303: 124505
Li S, Fan M, Xu L, et al. Rutting performance of semi-rigid base pavement in RIOHTrack and laboratory evaluation. Front Mater, 2021, 7: 590604
AzariJafari H, Yahia A, Amor M B. Life cycle assessment of pavements: reviewing research challenges and opportunities. J Cleaner Production, 2016, 112: 2187–2197
White T D, Albers J M, Haddock S J E. Limiting design parameters for accelerated pavement testing system. J Transp Eng, 1992, 118: 787–804
Harvey J. Use of accelerated pavement testing to evaluate maintenance and pavement preservation treatments: introduction. Transp Res Circ, 2009, 139: 1–10
Kang H G, Zheng Y X, Cai Y C, et al. Regression analysis of actual measurement of temperature field distribution rules of asphalt pavement. China J Highw Transp, 2007, 20: 13–18
Huang W, Liang S M, Wei Y. Surface deflection-based reliability analysis of asphalt pavement design. Sci China Technol Sci, 2020, 63: 1824–1836
Ameri M, Mansourian A, Heidary Khavas M, et al. Cracked asphalt pavement under traffic loading—a 3D finite element analysis. Eng Fract Mech, 2011, 78: 1817–1826
Gao X, Wei Y, Huang W. Effect of individual phases on multiscale modeling mechanical properties of hardened cement paste. Constr Build Mater, 2017, 153: 25–35
Wang X D, Zhou G, Liu H, et al. Key points of RIOHTrack testing road design and construction. J Highway Transp Res Dev (Engl Ed), 2020, 14: 1–16
Zhang L, Zhou X, Wang X. Research progress of long-life asphalt pavement behavior based on the RIOHTrack full-scale accelerated loading test. Chin Sci Bull, 2020, 65: 3247–3258
Girvan M, Newman M E J. Community structure in social and biological networks. Proc Natl Acad Sci USA, 2002, 99: 7821–7826
Friedrich S, Brunner E, Pauly M. Permuting longitudinal data in spite of the dependencies. J Multivariate Anal, 2017, 153: 255–265
Bathke A C, Friedrich S, Pauly M, et al. Testing mean differences among groups: multivariate and repeated measures analysis with minimal assumptions. Multivariate Behaval Res, 2018, 53: 348–359
Konietschke F, Bathke A C, Harrar S W, et al. Parametric and nonparametric bootstrap methods for general MANOVA. J Multivariate Anal, 2015, 140: 291–301
Friedrich S, Pauly M. MATS: inference for potentially singular and heteroscedastic MANOVA. J Multivariate Anal, 2018, 165: 166–179
Ester M, Kriegel H P, Sander J, et al. A density-based algorithm for discovering clusters in large spatial databases with noise. In: Proceedings of the 2nd International Conference Knowledge Discovery and Data Mining, Portland, 1996. 96: 226–231
Ankerst M, Breunig M M, Kriegel H P, et al. Optics: ordering points to identify the clustering structure. SIGMOD Rec, 1999, 28: 49–60
Wu K L, Yang M S. Mean shift-based clustering. Patt Recogn, 2007, 40: 3035–3052
Wang K, Wang B, Peng L. CVAP: validation for cluster analyses. Data Sci J, 2009, 8: 88–93
García J A R, Castro M. Analysis of the temperature influence on flexible pavement deflection. Constr Build Mater, 2011, 25: 3530–3539
Nam B H, Yeon J H, Behring Z. Effect of daily temperature variations on the continuous deflection profiles of airfield jointed concrete pavements. Constr Build Mater, 2014, 73: 261–270
Wu J, Wang X D, Wang L, et al. Temperature correction and analysis of pavement skid resistance performance based on RIOHTrack full-scale track. Coatings, 2020, 10: 832
Zhao X, Shen A, Ma B. Temperature adaptability of asphalt pavement to high temperatures and significant temperature differences. Adv Mater Sci Eng, 2018, 2018: 1–16
Valle P D, Thom N. Pavement layer thickness variability evaluation and effect on performance life. Int J Pavement Eng, 2020, 21: 930–938
Zhang J, Ding L, Li F, et al. Recycled aggregates from construction and demolition wastes as alternative filling materials for highway subgrades in China. J Cleaner Production, 2020, 255: 120223
Canestrari F, Ingrassia L P. A review of top-down cracking in asphalt pavements: causes, models, experimental tools and future challenges. J Traffic Transp Eng, 2020, 7: 541–572
Vaitkus A, Gražulyte J, Baltrušaitis A, et al. Long-term performance of pavement structures with cold in-place recycled base course. Balt J Road Bridge Eng, 2021, 16: 48–65
Gao J, Yang J, Yu D, et al. Reducing the variability of multi-source reclaimed asphalt pavement materials: a practice in China. Constr Build Mater, 2021, 278: 122389
Dessouky S H, Al-Qadi I L, Yoo P J. Full-depth flexible pavement responses to different truck tyre geometry configurations. Int J Pavement Eng, 2014, 15: 512–520
Sakhaeifar M S, Brown E R, Tran N, et al. Evaluation of long-lasting perpetual asphalt pavement with life-cycle cost analysis. Transpation Res Record, 2013, 2368: 3–11
Farouk A, Batle J, Elhoseny M, et al. Robust general N user authentication scheme in a centralized quantum communication network via generalized GHZ states. Front Phys, 2018, 13: 1–8
Atia I, Salem M L, Elkholy A, et al. In-silico analysis of protein receptors contributing to SARS-COV-2 high infectivity. Inf Sci Lett, 2021, 10: 19
Zidan M, Abdel-Aty A, El-Sadek A, et al. Low-cost autonomous perceptron neural network inspired by quantum computation. AIP Conf Proc, 2017, 1905: 020005
Acknowledgements
This work was supported in part by National Key Research & Development Project of China (Grant Nos. 2020YFA0714300, 2020YFA0714301) and National Natural Science Foundation of China (Grant Nos. 61833005, 61876036, 62003084)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Liu, H., Cao, J., Huang, W. et al. Complex network approach for the evaluation of asphalt pavement design and construction: a longitudinal study. Sci. China Inf. Sci. 65, 172204 (2022). https://doi.org/10.1007/s11432-021-3476-9
Received:
Revised:
Accepted:
Published:
DOI: https://doi.org/10.1007/s11432-021-3476-9