Russian Journal of Building Construction and Architecture
5 cm |
Bituminous stone mastiс asphalt-20 using oil bitumen road binders 60/90 |
|
|||
7 cm |
Type A dense asphalt concrete using oil bitumen road binders 60/90 |
|
|
||
|
|||||
|
Porous asphalt concrete |
|
|
||
8 cm |
using oil bitumen road binders 60/90 |
||||
|
Organic mineral mix |
||||
9 cm |
|||||
20 cm |
Optimal mix using active materials (slag) |
||||
35 cm |
Gravel and sand mix C6 |
||||
Heavy loam
Fig. 6. Structure of the road pavement in the monitoring area
The input parameters (elasticity modulus s, damping coefficients) of the construction layers of road pavements were specified as a logarithmically normal distribution. Change rates in the structural parameters of road pavements were specified in accordance with Table 2––3. For each operation year of the road pavement the dissipated energy was calculated over a year as well as the dissipated energy throughout the entire life cycle of the road pavement in accordance with the method presented in Fig. 5.
|
|
|
|
Таble 3 |
|
Results of the calculation of the total dissipated energy |
|||
|
|
|
|
|
Year |
|
Total development, МJ/m3 |
|
|
|
Average |
95 % of the available resources |
|
5 % of the available resources |
|
|
|
|
|
1 |
52 |
11 |
|
121 |
|
|
|
|
|
2 |
129 |
14 |
|
355 |
|
|
|
|
|
3 |
284 |
35 |
|
826 |
|
|
|
|
|
4 |
545 |
46 |
|
1950 |
|
|
|
|
|
5 |
731 |
96 |
|
2720 |
|
|
|
|
|
6 |
1030 |
147 |
|
3280 |
|
|
|
|
|
7 |
1560 |
212 |
|
5330 |
|
|
|
|
|
8 |
2630 |
254 |
|
8240 |
|
|
|
|
|
9 |
3080 |
335 |
|
9790 |
|
|
|
|
|
10 |
3310 |
345 |
|
10800 |
|
|
|
|
|
11 |
3720 |
361 |
|
11700 |
|
|
|
|
|
12 |
5020 |
370 |
|
17600 |
|
|
|
|
|
Total over |
22091.07 |
2228.41 |
|
72746.45 |
12 years, МJ/m3 |
|
|||
|
|
|
|
|
90
Issue № 3 (43), 2019 |
ISSN 2542-0526 |
During Year 1 and 5 of the operation the road structure was evaluated including identification of the average and 95 % of the available resources for actual elasticity modulus s and damping coefficients of the road pavement (the results are presented in Table 4).
|
|
|
|
Таble 4 |
Results of the evaluation of the road pavement at the operation stage |
||||
|
|
|
|
|
|
|
Year 1 |
|
Year 5 |
Parameter |
|
|
|
|
Average |
95 % of the available |
Average |
95 % of the available |
|
|
|
resources |
|
resources |
|
|
|
|
|
Elasticity modulus , МPа: |
|
|
|
|
–– asphalt concrete; |
4400 |
3520 |
4300 |
3080 |
–– foundation; |
580 |
420 |
420 |
355 |
–– subgrade soil |
80 |
51 |
77 |
49 |
|
|
|
|
|
Thickness of the layer, cm: |
|
|
|
|
–– asphalt concrete; |
20 |
20 |
20 |
20 |
–– foundation |
64 |
63.5 |
64 |
63.5 |
|
|
|
|
|
Damping coefficient, %: |
|
|
|
|
–– asphalt concrete; |
3 |
4 |
6 |
7 |
–– foundation; |
2 |
2 |
2 |
3 |
–– subgrade soil |
1 |
1 |
2 |
3 |
|
|
|
|
|
Longitudinal evenness, m/km |
1.1 |
1.4 |
1.4 |
2.3 |
|
|
|
|
|
Using the actual data obtained in the natural conditions for 95 % of the available resources, the dissipated energy was also calculated in the road pavement structure and the obtained actual results were compared with the design ones: Year 1 –– 13,12 MJ (design –– 11,61 МJ); Year 5 –– 251,06 МJ (design –– 203,41 MJ).
Prediction of the total dissipated energy shows that the resource of the road pavement structure will be exhausted as early as after 10 years of operation (the predicted total density of the dissipated energy of 95 % of the available resources is Wэкспл = 2413 МJ/m3 at Wпр= 2228 МJ/m3).
The thickness of the layer was chosen in accordance with the algorithm in Fig. 5 to enable us to conclude that as the thickness of the asphalt concrete layers goes up by 2 cm, the dissipated energy ranges from that for 95 % of the available resources, which would allow one to ensure a specified life cycle.
Similarly, for road pavement structures with a 24-year maintenance gap this approach to their technical monitoring would enable viable and sufficient technical solutions to be implemented in order to enhance life cycles.
91
Russian Journal of Building Construction and Architecture
Conclusions
1.A fundamentally new approach to technical monitoring of flexible road pavements which relies on the total density of the dissipated energy on the surface of a road structure allows the residual resource of road pavements to be determined considering statistical distributions of structural parameters of flexible road pavements such as elasticity modules and damping coefficients and the relevant maintenance measures to be specified.
2.The density of the dissipated energy under the dynamic impact of the calculated load which is calculated based on the area of a dynamic hysteresis loop is suggested as an energy index. The approaches to designing dynamic hysteresis loops are set forth at the design stage using a mechanical and mathematical model of a dynamic stress-strain of a road structure and based on instrumental evaluations using cutting-edge, high-productivity equipment.
3.An experimental approach to a damping coefficient of flexible road pavements was developed for the operation stage using the results of natural measurements of amplitude-time characteristics of displacements under a shock load.
4.During natural and laboratory studies it was found that the distribution of elasticity modulus of layers of flexible road pavements and their damping coefficients obeys a logarithmically normal law. Laws of changes in the main parameters of a logarithmically normal law (mathematical anticipation and dispersion) in the operation of road pavements were identified.
References
1.Vasil'ev A. P. Metod kompleksnoi otsenki kachestva i sostoyaniya avtomobil'nykh dorog [Method of integrated assessment of quality and condition of roads]. Avtomobil'nye dorogi, 1989, no. 7, pp. 10––11.
2.Grebeshok K. S. O neobkhodimosti sovershenstvovaniya sistemy upravleniya sostoyaniem avtomobil'nykh dorog na osnove real'nogo ostatochnogo resursa [About need of improvement of control system of a condition of highways on the basis of real residual resource]. Transportnoe stroitel'stvo, 2017, no. 1, pp. 23––25.
3.Krasikov O. A. Monitoring i strategiya remonta avtomobil'nykh dorog [Road repair monitoring and strategy]. Almaty, KazgosINTI Publ., 2004. 263 p.
4.Krasikov O. A. Sistema upravleniya dorozhnymi aktivami (na primere Respubliki Tadzhikistan) [Road asset management system (on the example of the Republic of Tajikistan)]. Dorogi i mosty, 2017, no. 37, pp. 39––66.
5.Lazarev E. G., Medres E. E., Petukhov P. A. K voprosu upravleniya sostoyaniem nezhestkikh dorozhnykh odezhd [On the issue of managing the state of non-rigid pavement]. Vestnik grazhdanskikh inzhenerov, 2016, no. 3 (56), pp. 173––180.
6.Mizonov V. V., Tiraturyan A. N. Ispol'zovanie metoda "obratnogo" rascheta pri ekspluatatsii avtomobil'nykh dorog [Using the method of "reverse" calculation in the operation of roads]. Nauka i tekhnika v dorozhnoi otrasli, 2011, no. 1, pp. 25––27.
92
Issue № 3 (43), 2019 |
ISSN 2542-0526 |
7.Tiraturyan A. N., Mizonov V. V, Lyapin A. A. e. a. Obratnaya zadacha ob opredelenii znachenii modulei uprugosti sloev ekspluatiruemykh dorozhnykh konstruktsii [The inverse problem concerning the determination of the values of moduli of elasticity of the exploited layers of road constructions]. Stroitel'stvo i rekonstruktsiya, 2011, no. 2 (34), pp. 88––93.
8.Parkhomenko A. Yu., Minakov A. S., Kiyashko I. V. Monitoring sostoyaniya dorozhnoi odezhdy kak faktor snizheniya zagryazneniya okruzhayushchei sredy [Monitoring of the state of the road pavement as a factor in reducing environmental pollution]. Vestnik KhNADU, 2011, vol. 52, pp. 31––34.
9.Tiraturyan A. N., Uglova E. V., Lyapin A. A. Imitatsionnoe modelirovanie effekta dinamicheskogo gisterezisa dorozhnoi konstruktsii pri vozdeistvii podvizhnoi nagruzki [Simulation modeling of dynamic hysteresis effect of road structure under the influence of moving load]. Stroitel'stvo i rekonstruktsiya, 2017, no. 1 (69), pp. 76––81.
10.Tiraturyan A. N. Novyi podkhod k otsenke ostatochnogo resursa nezhestkoi dorozhnoi odezhdy [A new approach to assessing the residual life of non-rigid pavement]. Transportnoe stroitel'stvo, 2017, no. 8, pp. 16––19.
11.Uglova E. V., Tiraturyan A. N., Lyapin A. A. Kompleksnyi podkhod k issledovaniyu kharakteristik dinamicheskogo deformirovaniya na poverkhnosti nezhestkikh dorozhnykh odezhd s ispol'zovaniem metoda nerazrushayushchego kontrolya [An integrated approach to the study of dynamic deformation characteristics on the surface of non-rigid pavement using the method of non-destructive testing]. Mekhanika, 2016, no. 2, pp. 111––130.
12.Uglova E. V., Saenko S. S. Obzor instrumentov upravleniya sostoyaniem dorozhnykh konstruktsii [Overview of road construction condition management tools]. Transportnye sooruzheniya, 2016, vol. 3, no. 1. Available at: http://t-s.today/PDF/02TS116.pdf.
13.Uglova E. V., Tiraturyan A. N., Shamraev L. G. Sovremennyi podkhod k otsenke transportno-eks- pluatatsionnykh pokazatelei avtomobil'nykh dorog Gosudarstvennoi kompanii "Rossiiskie avtomobil'nye dorogi" [Modern approach to the assessment of transport and operational indicators of roads of the State company "Russian roads"]. SAPR i GIS avtomobil'nykh dorog, 2016, no. 1, pp. 36––51.
14.Chirva D. V., Solodov V. V., Mironchuk S. A. Izmeritel'nye zondy dlya monitoringa ostatochnykh deformatsii v konstruktivnykh sloyakh dorozhnykh odezhd i grunte zemlyanogo polotna [Measuring probes for monitoring of residual deformations in structural layers of road pavement and subgrade]. Dorogi i mosty, 2013, no. 2 (30), pp. 131––141.
15.Allavi A., Hasni H., Lajnef N. e. a. Continuous health monitoring of pavement systems using smart sensing technology. Construction and building materials, 2016, vol. 114, pp. 719––736.
16.Gedafa D. S., Hossain M., Romanoschi S. A. e. a. Effects of Binder and Mix Properties on the Mechanistic Responses of Fatigue Cracking APT Sections. The Roles of Accelerated Pavement Testing in Pavement Sustainability. Springer, 2016, pp. 393––405.
17.Lee K. W., Wilson K., Hassan S. A. Prediction of performance and evaluation of flexible pavement rehabilitation strategies. Journal of Traffic and Transportation Engineering, 2017, vol. 4, iss. 2, pp. 178––184.
18.Leiva-Villacorta F., Vargas-Nordcbeck A., Timm D. H. Non-destructive evaluation of sustainable pavement technologies using artificial neural networks. International Journal of Pavement Research and Technology, 2017, vol. 10, iss. 2, pp. 139––147.
19.Ma X., Dong Z., Yu X. e. a. Monitoring the structural capacity of airfield pavement with built-in sensors and modulus back-calculation algorithm. Construction and Building Materials, 2018, vol. 175, pp. 552––561.
93
Russian Journal of Building Construction and Architecture
20.Ngoi H., Nguyen Q., Kim W. Implementation of Input Shaping Control to Reduce Residual Vibration in Industrial Network Motion System. 15th International Conference on Control, Automation and Systems (ICCAS-2015), Oct. 13––16. Busan, Korea, 2015, pp. 1693––1698.
21.Rusu L., Taut D., Jecan S. An Integrated Solution for Pavement Management and Monitoring Systems. Procedia Economics and Finance, 2015, no. 27, pp. 14––21.
22.Sarker P., Tutumluer E. Falling Weight Deflectometer Testing Based Mechanistic-Empirical Overlay Thickness Design Approach for Low. International Conference on Transportation and Development. USA, 2016, volume Roads in Illinois, pp. 920––931.
23.Ny K., Hellrung D., Ksaibati K. e. a. Systematic back-calculation protocol and prediction of resilient modulus for MEPDG. Int. J. Pavement Eng., 2016, pp. 62––74. Available at: http://dx.doi.org/10.1080/ 10298436.2016.1162303.
24.Tiraturyan A. N., Uglova E. V. Calculation of the Damping Factors of the Flexible Pavement Structure Courses According to the In-place Testing Data. Transportation Science and Technology: Proceedings of the 10th International Scientific Conference, TRANSBALTICA-2017. Vilnius, Lithuania, Vilnius Gediminas Technical University, 2017, vol. 187, pp. 742––748.
25.Tiraturyan A. N., Uglova E. V., Lyapin A. A. Studying the energy distribution of the dynamic influences of road transport on the layers of nonrigid pavements. PNRPU Mechanics Bulletin, 2017, iss. 2, pp. 178––194.
94