Abstract
We has considered results of theoretical description of the cyber-physical system object’s model—asphalt paver with a compacting working body of increased efficiency based on the state space method are considered. The working body includes a tamper, screed and pressure bar. The mathematical model of the process of interaction of the object with the compacting road-building material takes into account the masses of the main structural elements of the working body and pavement. A rheological model of a viscoelastic Kelvin–Voight body is using to describe the compacted material. Suitability of developed mathematical model experimentally confirmed by simulation modelling of the system using program MATLAB/Simulink.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Anderl, R., Eigner, M., Sendler, U., Stark, R.: Smart Engineering—Interdisziplinäre Produktentstehung. acatech Diskussion. Springer, 58 p. (2012). https://doi.org/10.1007/978-3-642-29372-6
Serpanos, D., Wolf, M.: Internet-of-Things (IoT) Systems. Architectures, Algorithms, Methodologies. Springer, Cham, 95 p. (2018). https://doi.org/10.1007/978-3-319-69715-4_1
Xu, Q., Chang, G.K.: Adaptive quality control and acceptance of pavement material density for intelligent road construction. Autom. Constr. 62, 78–88 (2015). https://doi.org/10.1016/j.autcon.2015.11.004
Chang, G.K., Mohanraj, K., Stone, W.A., Oesch, D.J., Gallivan, V.: Leveraging intelligent compaction and thermal profiling technologies to improve asphalt pavement construction quality: A case study. Trans. Res. Rec. J. Trans. Res. Board 2672(26), 48–56 (2018). https://doi.org/10.1177/0361198118758285
Pistrol, J., Villwock, S., Völkel, W., Kopf, F., Adam, D.: Continuous compaction control (CCC) with oscillating rollers. Procedia Eng. 143, 514–521 (2016). https://doi.org/10.1016/j.proeng.2016.06.065
Hu, W., Shu, X., Huang, B., Woods, M.: Field investigation of intelligent compaction for hot mix asphalt resurfacing. Front. Struct. Civ. Eng. 11(1), 47–55 (2017). https://doi.org/10.1007/s11709-016-0362-x
Barman, M., Nazari, M., Imran, S.A., Commuri, S., Zaman, M., Beainy, F., Singh, D.: Quality control of subgrade soil using intelligent compaction. Innovative Infrastruct. Solutions 1(1), 23 (2016). https://doi.org/10.1007/s41062-016-0020-0
Barman, M., Imran, S.A., Nazari, M., Commuri, S., Zaman, M.: Use of intelligent compaction in detecting and remediating under-compacted spots during compaction of asphalt layers. In: Hossain Z., Zhang J., Chen C. (eds.) Solving Pavement and Construction Materials Problems with Innovative and Cutting-edge Technologies. GeoChina 2018. Sustainable Civil Infrastructures, pp. 131–141. Springer, Cham (2019). https://doi.org/10.1007/978-3-319-95792-0_11
Fang, X., Bian, Y., Yang, M., Liu, G.: Development of a path following control model for an unmanned vibratory roller in vibration compaction. Adv. Mech. Eng. 10(5), 1–16 (2018). https://doi.org/10.1177/1687814018773660
Bian, Y., Fang, X., Yang, M., Zhao, Z.: Automatic rolling control for unmanned vibratory roller based on fuzzy algorithm. J. Tongji Univ. (Nat. Sci.) 45(12), 1831–1838 (2017). https://doi.org/10.11908/j.issn.0253-374x.2017.12.013
Zhu, S., Li, X., Wang, H., Yu, D.: Development of an automated remote asphalt paving quality control system. Transp. Res. Rec. 2672(26), 28–39 (2018). https://doi.org/10.1177/0361198118758690
Liu, D.H., Li, Z.L., Lian, Z.H.: Compaction quality assessment of earth-rock dam materials using roller integrated compaction monitoring technology. Automat. Constr. 44, 234–246 (2014). https://doi.org/10.1016/j.autcon.2014.04.016
Kenneally, B., Musimbi, O.M., Wang, J.: Finite element analysis of vibratory roller response on layered soil systems. Comput. Geotech. 67, 73–82 (2015). https://doi.org/10.1016/j.compgeo.2015.02.015
Li, J., Zhang, Z., Xu, H.: Dynamic characteristics of the vibratory roller test-bed vibration isolation system: simulation and experiment. J. Terramech. 56, 139–156 (2014). https://doi.org/10.1016/j.jterra.2014.10.002
Xu, Q., Chang, G.K.: Adaptive quality control and acceptance of pavement material density for intelligent road construction. Automat. Constr. 62, 78–88 (2016). https://doi.org/10.1016/j.autcon.2015.11.004
Kyung-Joon, P., Zheng, R., Liu, X.: Cyber-physical systems: milestones and research challenges. Comput. Commun. 36, 1–7 (2012). https://doi.org/10.1016/j.comcom.2012.09.006
Mikheyev, V.V., Saveliev, S.V.: Modelling of deformation process for the layer of elastoviscoplastic media under surface action of periodic force of arbitrary type. J. Phys. Conf. Ser. 944(1), 012079 (2018). https://doi.org/10.1088/1742-6596/944/1/012079
Rinehart, R.V.: Instrumentation of a roller compactor to monitor vibration behavior during earthwork compaction. J. Autom. Constr. 17(2), 144–150 (2008)
White, D., Thompson, M.: Relationships between in situ and roller-integrated compaction measurements for granular soils. J. Geotech. Geoenviron. Eng. 134(12), 1763–1770 (2008). https://doi.org/10.1061/(ASCE)1090-0241(2008)134:12(1763)
Bejan, S.: The roller-ground dynamic interaction in the compaction process through vibrations for road construction. Rom. J. Trans. Infrastruct. 5(2), 1–9 (2016). https://doi.org/10.1515/rjti-2016-0044
Beainy, F., Commuri, S., Zaman, M.: Dynamical response of vibratory rollers during the compaction of asphalt pavements. J. Eng. Mech. 140(7), 04014039 (2014). https://doi.org/10.1061/(asce)em.1943-7889.0000730
Imran, S.A., Commuri, S., Barman, M., Zaman, M., Beainy, F.: Modeling the dynamics of asphalt-roller interaction during compaction. J. Constr. Eng. Manag. 143(7), 1763–1770 (2017). https://doi.org/10.1061/(ASCE)CO.1943-7862.0001293
Li, S., Hu, C.: Study on dynamic model of vibratory roller-soil system. IOP Conf. Ser. Earth Environ. Sci. 113, 012187 (2018). https://doi.org/10.1088/1755-1315/113/1/012187
Derusso, P.M., Roy, R.J., Close, Ch.M.: State Variables for Engineers, 608 p. John Wiley & Sons, New York (1965)
Strejc, V.: State Space Theory of Discrete Linear Control, 426 p. John Wiley & Sons (1981)
WIRTGEN GROUP: Concentrating on the essentials: high quality paving. RoadNews 7, 28–47 (2019). https://media.voegele.info/media/03_voegele/aktuelles_und_presse/roadnews_magazin/roadnews_07/RadNews_07__en.pdf
Sun, J., Xu, G.: Dynamics modeling and analysis of paver screed based on computer simulation. J. Appl. Sci. 13(7), 1059–1065 (2013). https://doi.org/10.3923/jas.2013.1059.1065
Phillips, C.L., Harbor R.D.: Feedback Control Systems, 784 p. Pearson (2010)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Prokopev, A., Nabizhanov, Z., Ivanchura, V., Emelyanov, R. (2020). Modeling Cyber-Physical System Object in State Space (on the Example of Paver). In: Kravets, A., Bolshakov, A., Shcherbakov, M. (eds) Cyber-Physical Systems: Advances in Design & Modelling. Studies in Systems, Decision and Control, vol 259. Springer, Cham. https://doi.org/10.1007/978-3-030-32579-4_25
Download citation
DOI: https://doi.org/10.1007/978-3-030-32579-4_25
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-32578-7
Online ISBN: 978-3-030-32579-4
eBook Packages: EngineeringEngineering (R0)