From the material behaviour to the thermo-mechanical long-term response of asphalt pavements and the alteration of surface drainage due to rutting: a sensitivity study

References

• Abu Al-Rub, R.K., et al., 2012. Comparing finite element and constitutive modelling techniques for predicting rutting of asphalt pavements. International Journal of Pavement Engineering, 13, 322–338.
   Web of Science ®Google Scholar
• Alber, S., et al., 2020. Modeling of surface drainage during the service life of asphalt pavements showing long-term rutting: A modular hydro-mechanical approach. Advances in Materials Science and Engineering, 2020, 8793652.
   Web of Science ®Google Scholar
• Anderson, E.D., and Daniel, J.S., 2013. Long-term performance of pavement with high recycled asphalt content: Case studies. Transportation Research Record, 2371, 1–12.
   Google Scholar
• Augter, G., and Kayser, S., 2019. KiST-Zonen-Karte RDO und RSO Asphalt. Berichte der Bundesanstalt für Straßenwesen, Reihe Straßenbau, Heft S 136.
   Google Scholar
• Behnke, R., et al., 2019. Thermo-mechanical finite element prediction of the structural long-term response of asphalt pavements subjected to periodic traffic load: Tire-pavement interaction and rutting. Computers and Structures, 218, 9–31.
   Web of Science ®Google Scholar
• Behnke, R., et al., 2021a. A continuum mechanical model for asphalt based on the particle size distribution: Numerical formulation for large deformations and experimental validation. Mechanics of Materials, 153, 103703.
   Web of Science ®Google Scholar
• Behnke, R., et al., 2021b. Simulation chain: From the material behavior to the thermo-mechanical long-term response of asphalt pavements and the alteration of functional properties (surface drainage). In: M. Kaliske, M. Oeser, L. Eckstein, S. Leischner, W. Ressel and F. Wellner, eds. Coupled system pavement – tire – vehicle: A holistic computational approach. Lecture Notes in Applied and Computational Mechanics, Vol. 96, Cham: Springer, 267–289.
   Google Scholar
• Behnke, R., and Kaliske, M., 2022. Multiphysical modeling and simulation of thermal damage of elastomers: State of the art and developments towards cyber-physical systems. In: G. Heinrich, R. Kipscholl and R. Stoček, eds. Degradation of elastomers in practice, experiments and modeling. Advances in Polymer Science. Vol. 289, Cham: Springer, 103–120.
   Google Scholar
• Biancardo, S.A., et al., 2020. BIM-based design for road infrastructure: A critical focus on modeling guardrails and retaining walls. Infrastructures, 5, 59.
   Google Scholar
• Blundell, M., and Harty, D., eds. 2015. The multibody systems approach to vehicle dynamics. Oxford: Butterworth-Heinemann.
   Google Scholar
• Buhari, R., Rohani, M.M., and Abdullah, M.E., 2013. Dynamic load coefficient of tyre forces from truck axles. Applied Mechanics and Materials, 405–408, 1900–1911.
   Google Scholar
• Chen, E., Li, K., and Wang, Y., 2013. Influence of material characteristics of asphalt pavement to thermal stress. Applied Mechanics and Materials, 256-259, 1769–1775.
   Google Scholar
• Das, A., 2015. Structural design of asphalt pavements: Principles and practices in various design guidelines. Transportation in Developing Economies, 1, 25–32.
   Google Scholar
• Ekblad, J., et al., 2021. Impact on rutting from introduction of increased axle loads in Finland. International Journal of Pavement Engineering, 22, 1731–1743.
   Web of Science ®Google Scholar
• Faruk, A.N.M., et al., 2016. Traffic volume and load data measurement using a portable weigh in motion system: A case study. International Journal of Pavement Research and Technology, 9, 202–213.
   Google Scholar
• Ferreira, A., and Santos, J., 2013. Life-cycle cost analysis system for pavement management at project level: Sensitivity analysis to the discount rate. International Journal of Pavement Engineering, 14, 655–673.
   Web of Science ®Google Scholar
• FGSV, ed., 2008. Richtlinien für die Anlage von Autobahnen (RAA). Köln: Forschungsgesellschaft für Straßen- und Verkehrswesen (FGSV).
   Google Scholar
• FGSV, ed., 2009. Richtlinien für die rechnerische Dimensionierung des Oberbaus von Verkehrsflächen mit Asphaltdeckschicht – RDO Asphalt 09. Köln: Forschungsgesellschaft für Straßen- und Verkehrswesen (FGSV).
   Google Scholar
• FGSV, ed., 2012. Richtlinien für die Standardisierung des Oberbaus von Verkehrsflächen, RStO. Köln: Forschungsgesellschaft für Straßen- und Verkehrswesen (FGSV).
   Google Scholar
• FGSV, ed., 2022. Richtlinien für die Entwässerung von Straßen (REwS). Köln: Forschungsgesellschaft für Straßen- und Verkehrswesen (FGSV).
   Google Scholar
• Flemisch, B., et al., 2011. DuMuX: DUNE for multi-{phase, component, scale, physics,…} flow and transport in porous media. Advances in Water Resources, 34, 1102–1112.
   Web of Science ®Google Scholar
• Giustozzi, F., et al., 2019. Sensitivity analysis of a deflection-induced pavement-vehicle interaction model. Road Materials and Pavement Design, 20, 1880–1898.
   Web of Science ®Google Scholar
• Guclu, A., et al., 2009. Sensitivity analysis of rigid pavement systems using the mechanistic-empirical design guide software. Journal of Transportation Engineering, 135, 555–562.
   Google Scholar
• Guo, R., Nian, T., and Zhou, F., 2020. Analysis of factors that influence anti-rutting performance of asphalt pavement. Construction and Building Materials, 254, 119237.
   Web of Science ®Google Scholar
• Guo, M., and Zhou, X., 2019. Tire-pavement contact stress characteristics and critical slip ratio at multiple working conditions. Advances in Materials Science and Engineering, 2019, 5178516.
   Web of Science ®Google Scholar
• Hartung, F., et al., 2018. Numerical determination of hysteresis friction on different length scales and comparison to experiments. Tribology International, 127, 165–176.
   Web of Science ®Google Scholar
• Hu, X., et al., 2017. Effects of tire inclination (turning traffic) and dynamic loading on the pavement stress-strain responses using 3-D finite element modeling. International Journal of Pavement Research and Technology, 10, 304–314.
   Google Scholar
• Ioannides, A.M., and Tallapragada, P.K., 2013. An overview and a case study of pavement performance prediction. International Journal of Pavement Engineering, 14, 629–644.
   Web of Science ®Google Scholar
• Jannat, G., and Tighe, S.L., 2016. An experimental design-based evaluation of sensitivities of MEPDG prediction: Investigating main and interaction effects. International Journal of Pavement Engineering, 17, 615–625.
   Web of Science ®Google Scholar
• Kaliske, M., et al., 2015. Holistic analysis of the coupled vehicle-tire-pavement system for the design of durable pavements. Tire Science and Technology, 43, 86–116.
   Google Scholar
• Kaliske, M., et al., eds., 2021b. Coupled system pavement – tire – vehicle: A holistic computational approach. Lecture Notes in Applied and Computational Mechanics, Vol. 96, Cham: Springer.
   Google Scholar
• Kaliske, M., et al., 2022. Welchen Weg nimmt die ‘Straße der Zukunft’? – Digitalisierung der Straße im Sonderforschungsbereich/Transregio 339 ‘Digitaler Zwilling Straße’ / Which route takes the ‘Road of the Future’? – Digitalization of the road within the Collaborative Research Center/Transregio 339 ‘Digital Twin of the Road System’. Bauingenieur, 97, 29–37.
   Web of Science ®Google Scholar
• Kaliske, M., Behnke, R., and Wollny, I., 2021a. Vision on a digital twin of the road-tire-vehicle system for future mobility. Tire Science and Technology, 49, 2–18.
   Web of Science ®Google Scholar
• Kulakowski, B.T., et al., 1995. A study of dynamic wheel loads conducted using a four-post road simulator. Road Transport Technology, 4, 301–307.
   Google Scholar
• Lak, M.A., 2013. Numerical prediction of ground vibrations generated by road traffic and pavement breaking. Thesis (PhD). KU Leuven, Leuven.
   Google Scholar
• Lee, J.H., et al., 2019. Long-term performance of fiber-grid-reinforced asphalt overlay pavements: A case study of Korean national highways. Journal of Traffic and Transportation Engineering, 6, 366–382.
   Google Scholar
• Li, X., et al., 2014. Sensitivity analysis of flexible pavement parameters by mechanistic-empirical design guide. Applied Mechanics and Materials, 590, 539–545.
   Google Scholar
• Lippold, C., et al., 2019. Vermeidung von abflussschwachen Zonen in Verwindungsbereichen – Vergleich und Bewertung von baulichen Lösungen. Berichte der Bundesanstalt für Straßenwesen, Reihe Verkehrstechnik, Heft V 319.
   Google Scholar
• Liu, P., et al., 2017. Application of dynamic analysis in semi-analytical finite element method. Materials, 10, 1010.
   PubMed Web of Science ®Google Scholar
• Liu, P., et al., 2018. Study of the influence of pavement unevenness on the mechanical response of asphalt pavement by means of the finite element method. Journal of Traffic and Transportation Engineering, 5, 169–180.
   Google Scholar
• Lu, Y., et al., 2010. Numerical and experimental investigation on stochastic dynamic load of a heavy duty vehicle. Applied Mathematical Modelling, 34, 2698–2710.
   Web of Science ®Google Scholar
• Lu, W., et al., 2023. High-temperature properties and aging resistance of rock asphalt ash modified asphalt based on rutting index. Construction and Building Materials, 363, 129774.
   Web of Science ®Google Scholar
• Luo, W., and Li, L., 2021. Estimation of water film depth for rutting pavement using IMU and 3D laser imaging data. International Journal of Pavement Engineering, 22, 1334–1349.
   Web of Science ®Google Scholar
• McDonald, M., and Madanat, S., 2012. Life-cycle cost minimization and sensitivity analysis for mechanistic-empirical pavement design. Journal of Transportation Engineering, 138, 706–713.
   Google Scholar
• Miner, M.A., 1945. Cumulative damage in fatigue. Journal of Applied Mechanics, 12, A159–A164.
   Web of Science ®Google Scholar
• Mirboland, M., and Smarsly, K., 2021. BIM-based description of intelligent transportation systems for roads. Infrastructures, 6, 51.
   Google Scholar
• Mwanza, A.D., Muya, M., and Hao, P., 2016. Towards modeling rutting for asphalt pavements in hot climates. Journal of Civil Engineering and Architecture, 10, 1075–1084.
   Google Scholar
• Nackenhorst, U., 2014. Finite element analysis of tires in rolling contact. GAMM-Mitteilungen, 37, 27–65.
   Google Scholar
• Nazzal, M.D., et al., 2016. Evaluation of the long-term performance and life cycle costs of GTR asphalt pavements. Construction and Building Materials, 114, 261–268.
   Web of Science ®Google Scholar
• Norouzi, A., Kim, D., and Kim, Y.R., 2016. Numerical evaluation of pavement design parameters for the fatigue cracking and rutting performance of asphalt pavements. Materials and Structures, 49, 3619–3634.
   Web of Science ®Google Scholar
• Ong, G.P., and Fwa, T.F., 2005. Analysis and design of vertical-drainage geosynthetic-reinforced porous pavement for roads and car parks. Journal of the Eastern Asia Society for Transportation Studies, 6, 1286–1301.
   Google Scholar
• Park, D.W., Papagiannakis, A.T., and Kim, T., 2014. Analysis of dynamic vehicle loads using vehicle pavement interaction model. KSCE Journal of Civil Engineering, 18, 2085–2092.
   Web of Science ®Google Scholar
• Pflug, H.C., 1986. Lateral dynamic behaviour of truck-trailer combinations due to the influence of the load. Vehicle System Dynamics, 15, 155–175.
   Web of Science ®Google Scholar
• Radhakrishnan, V., Sri, M.R., and Reddy, K.S., 2020. Sensitivity of rutting and moisture resistance of asphalt mixes to gradation and design air void content. International Journal of Pavement Engineering, 21, 1035–1043.
   Web of Science ®Google Scholar
• Radziszewski, P., 2007. Modified asphalt mixtures resistance to permanent deformations. Journal of Civil Engineering and Management, 13, 307–315.
   Google Scholar
• Ranadive, M.S., and Tapase, A.B., 2016. Parameter sensitive analysis of flexible pavement. International Journal of Pavement Research and Technology, 9, 466–472.
   Google Scholar
• Ressel, W., et al., 2019. Modelling and simulation of pavement drainage. International Journal of Pavement Engineering, 20, 801–810.
   Web of Science ®Google Scholar
• Scheifele, U., 1989. DQM-2: Ein Gerät zur dynamischen Querprofilmessung auf Strassen. ETH Zürich: IVT Schriftenreihe.
   Google Scholar
• Schwartz, C.W., et al., 2013. Global sensitivity analysis of mechanistic-empirical performance predictions for flexible pavements. Transportation Research Record, 2368, 12–23.
   Google Scholar
• Shakiba, M., et al., 2017. Introducing realistic tire-pavement contact stresses into pavement analysis using nonlinear damage approach (PANDA). International Journal of Pavement Engineering, 18, 1027–1038.
   Web of Science ®Google Scholar
• Smith, H.A., 1991. Truck tire characteristics and asphalt concrete pavement rutting. Transportation Research Record, 1307, 1–7.
   Google Scholar
• Srirangam, S.K., 2015. Numerical simulation of tire-pavement interaction. Thesis (PhD). TU Delft.
   Google Scholar
• Sudarsanan, N., and Richard Kim, Y., 2022. A critical review of the fatigue life prediction of asphalt mixtures and pavements. Journal of Traffic and Transportation Engineering, 9, 808–835.
   Google Scholar
• Sun, L., 2001. Computer simulation and field measurement of dynamic pavement loading. Mathematics and Computers in Simulation, 58, 297–313.
   Google Scholar
• Titi, H.H., et al., 2018. Long term performance of gravel base course layers in asphalt pavements. Case Studies in Construction Materials, 9, e00208.
   Google Scholar
• Tutka, P., et al., 2021. Sensitivity analysis of determining the material parameters of an asphalt pavement to measurement errors in backcalculations. Materials, 14, 873.
   PubMed Web of Science ®Google Scholar
• Valašková, V., Melcer, J., and Lajčáková, G., 2015. Moving load effect on pavements at random excitation. Procedia Engineering, 111, 815–820.
   Google Scholar
• Wang, H., 2011. Analysis of tire-pavement interaction and pavement responses using a decoupled modeling approach. Thesis (PhD). University of Illinois, Urbana-Champaign.
   Google Scholar
• Wang, L., et al., 2022. Technical development and long-term performance observations of long-life asphalt pavement: A case study of Shandong Province. Journal of Road Engineering, 2, 369–389.
   Google Scholar
• Wolff, A., 2013. Simulation of pavement surface runoff using the depth-averaged shallow water equations. Thesis (PhD). Universität Stuttgart.
   Google Scholar
• Wollny, I., et al., 2016b. Numerical modelling of tire-pavement interaction phenomena: Coupled structural investigations. Road Materials and Pavement Design, 17, 563–578.
   Web of Science ®Google Scholar
• Wollny, I., et al., 2020. Coupling of microstructural and macrostructural computational approaches for asphalt pavements under rolling tire load. Computer-Aided Civil and Infrastructure Engineering, 35, 1178–1193.
   Web of Science ®Google Scholar
• Wollny, I., Hartung, F., and Kaliske, M., 2016a. Numerical modeling of inelastic structures at loading of steady state rolling – thermo-mechanical asphalt pavement computation. Computational Mechanics, 57, 867–886.
   Google Scholar
• Wollny, I., and Kaliske, M., 2013. Numerical simulation of pavement structures with inelastic material behaviour under rolling tyres based on an arbitrary Lagrangian Eulerian (ALE) formulation. Road Materials and Pavement Design, 14, 71–89.
   Web of Science ®Google Scholar
• Wollny, I., Sun, W., and Kaliske, M., 2018. A hierarchical sequential ALE poromechanics model for tire-soil-water interaction on fluid-infiltrated roads. International Journal for Numerical Methods in Engineering, 112, 909–938.
   Web of Science ®Google Scholar
• Xiong, H., et al., 2022. Application of high viscosity-high modulus modified asphalt concrete in bus rapid transit station pavement – A case study in Chengdu, China. Case Studies in Construction Materials, 17, e01337.
   Google Scholar
• Yang, X., et al., 2017. Sensitivity of flexible pavement design to Michigan's climatic inputs using pavement ME design. International Journal of Pavement Engineering, 18, 622–632.
   Web of Science ®Google Scholar
• Yin, P., and Pan, B., 2022. Evaluation of temperature sensitivity of recycled asphalt based on numerical analysis model and thermal analysis kinetics. Construction and Building Materials, 344, 128153.
   Web of Science ®Google Scholar
• Zhang, C., et al., 2015. Sensitivity analysis of longitudinal cracking on asphalt pavement using MEPDG in permafrost region. Journal of Traffic and Transportation Engineering, 2, 40–47.
   Google Scholar
• Zhao, Z., et al., 2022. Influence of base course types on axial load diffusion performance for asphalt pavement based on measured data. Case Studies in Construction Materials, 17, e01644.
   Google Scholar