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Analysis of Deformation Energy Dissipation in Reinforced-Layer Pavement

https://doi.org/10.23947/2687-1653-2025-25-4-2184

Abstract

Introduction. The design of road pavements for highways is a key stage of project development, directly impacting their durability and operational costs. In recent years, in the context of increasing traffic intensity and dynamic loads, technologies for strengthening roadbeds and bases, such as geosynthetic reinforcement and stabilized layers, have become widespread, making the study on their efficiency a challenge. Literature notes the practical advantages of reinforced layers — increased load-bearing capacity and reduced deformation. However, models for energy dissipation under dynamic impacts in structures with such layers are underdeveloped. Theoretical approaches to analyzing energy dissipation, including linear-elastic and viscoelastic models and finite element methods, have been primarily applied to traditional structures. Their adaptation to reinforced and stabilized layers requires further development, as there remain gaps in the quantitative comparison of efficiency by location and rigidity of reinforcements. The objective of the presented work is to analyze the dissipation of deformation energy in the structure of road pavements with different options for the arrangement of reinforced layers, and to determine optimal design solutions that contribute to increasing the durability of road pavements. To achieve this, it is required to formalize an energy dissipation model for structures with reinforcements, conduct a comparative analysis of different locations and rigidity levels of the layers.

Materials and Methods. The research utilized a comprehensive approach to the analysis of deformation processes in layered media using road pavements as an example, involving both a calculation tool and modern experimental equipment. As a calculation tool, a mathematical model of a layered half-space in an axisymmetric formulation in a cylindrical coordinate system was used. It was based on the solution to the system of dynamic Lame equations and allowed for the construction of amplitude-time characteristics of vertical displacements and impact loading impulse, on the basis of which it was possible to construct dynamic hysteresis loops. The FWD PRIMAX 1500 shock loading unit was used as experimental equipment, which made it possible to register similar characteristics of the road pavement response under field conditions at a load equivalent to the calculated one.

Results. The study involved numerical modeling of road pavement structures traditionally used in the Russian Federation and so-called full-depth road pavements, which were composed almost entirely of materials reinforced with binders. Dynamic hysteresis loops were constructed, and a comparative analysis of the results was provided. A numerical experiment revealed that strengthening only the subgrade layer, even without installing a reinforced base layer beneath the asphalt concrete, reduced the amount of dissipated deformation energy. It was also concluded that the elastic modulus of the underlying half-space simulating the subgrade had the greatest impact on the amount of dissipated energy.

Discussion. The greatest effect, both technical and economic, can be reached by strengthening the top of the roadbed while preserving the loose layers in the base of the road structure. This solution will bring the functioning of the road surface closer to the elastic stage and at the same time reduce the risk of cracks appearing on the surface of the pavement due to an excessively rigid layer of reinforced base.

Conclusion. On the basis of the constructed dynamic hysteresis loops, it is shown that a reduction in the magnitude of deformation energy can be obtained both by installing reinforced layers of the road surface throughout its entire depth, and by locally strengthening the underlying half-space layer and an additional base layer made of sand. The numerical experiment demonstrated that the use of reinforced base layers reduced the amount of deformation energy dissipation in the pavement structure by more than 2–3 times. Qualitative agreement between the experimental results and the numerical simulation results was shown.

About the Author

A. N. Tiraturyan
Don State Technical University
Russian Federation

Artem N. Tiraturyan, Dr.Sci. (Eng.), Professor of the Motorways Department

1, Gagarin Sq., Rostov-on-Don, 344003

Scopus Author ID: 57190178833



References

1. Raza MS, Sharma SK. A Review of Mechanical and Durability Properties and Microstructure of Semi-Flexible Pavement. Innovative Infrastructure Solutions. 2024;9(4):83. https://doi.org/10.1007/s41062-024-01393-w

2. Ghanizadeh AR, Salehi M, Mamou A, Koutras EI, Jalali F, Asteris PG. Investigation of Subgrade Stabilization Life-Extending Benefits in Flexible Pavements Using a Non-Linear Mechanistic-Empirical Analysis. Infrastructures. 2024;9(2):33. https://doi.org/10.3390/infrastructures9020033

3. Bei Zhang, Di Wang, Yanhui Zhong, Xiaolong Li, Hongjian Cai, Tao Wang. Mechanical Analysis of Semi-Rigid Base Asphalt Pavement under the Influence of Groundwater with the Spectral Element Method. Applied Sciences. 2024;14(6):2375. https://doi.org/10.3390/app14062375

4. Кlyuev SV, Klyuev AV, Аyubov NА, Fediuk RS, Levkina ЕV. Finite Element Design and Analysis of Sustainable Mono-Reinforced and Hybrid-Reinforced Fibergeopolymers. Advanced Engineering Research (Rostov-on-Don). 2025;25(3):171–185. https://doi.org/10.23947/2687-1653-2025-25-3-171-185

5. Tretyakov DA, Osovik DS. Estimation of Stresses in a Plate with a Concentrator through Ultrasonic Measurements of Acoustic Anisotropy. Advanced Engineering Research (Rostov-on-Don). 2024;24(4):307–315. https://doi.org/10.23947/2687-1653-2024-24-4-307-315

6. Babushkina NE, Lyapin AA. Determination of Dynamic Stresses and Displacements under the Action of an Impact Load on a Two-Layer Structure during the Indentation Process. Advanced Engineering Research (Rostov-on-Don). 2024;24(3):264–273. https://doi.org/10.23947/2687-1653-2024-24-3-264-273

7. Tiraturyan AN, Lyapin AA. Analysis of the Deformation Energy Dissipation in a Layered Medium Under Dynamic Loading (On the Example of Highways). Soil Mechanics and Foundation Engineering. 2024;61:445–451. https://doi.org/10.1007/s11204-024-09995-3

8. Xinnan Xu, Mohan Zhao, Yu Liu, Chaofan Wu, Yuhao Pei, Chengmiao Zhang. Falling Weight Impact Acceleration-Time Signals Analysis for Road Modulus Detection: Theoretical and Experimental Investigations. Case Studies in Construction Materials. 2024;21:e03915. https://doi.org/10.1016/j.cscm.2024.e03915

9. Zhenlong Gong, Yinghao Miao, Lantieri C. Review of Research on Tire–Pavement Contact Behavior. Coatings. 2024;14(2):157. https://doi.org/10.3390/coatings14020157

10. Yongxiang Li, Longwei Zhao, Junfeng Gao, Yanyan Ru, Haiwei Zhang. Evaluation of the Fatigue Performance of Full-Depth Reclamation with Portland Cement Material Based on the Weibull Distribution Model. Coatings. 2024;14(4):437. https://doi.org/10.3390/coatings14040437

11. Yongxiang Li, Chuangdan Luo, Kuiliang Ji, Haiwei Zhang, Bowei Sun. Laboratory Evaluation of Strength Performance of Full-Depth Reclamation with Portland Cement Material. Coatings. 2024;14(5):573. https://doi.org/10.3390/coatings14050573

12. Mendoza-Sanchez JF, Alonso-Guzman EM, Martinez-Molina W, Chavez-Garcia HL, Soto-Espitia R, DelgadoAlamilla H, et al. A Critical Review of Pavement Design Methods Based on a Climate Approach. Sustainability. 2024;16(16):7211. https://doi.org/10.3390/su16167211

13. Karki B, Prova S, Isied M, Souliman M. Neural Network Approach for Fatigue Crack Prediction in Asphalt Pavements Using Falling Weight Deflectometer Data. Applied Sciences. 2025;15(7):3799. https://doi.org/10.3390/app15073799

14. Chunru Cheng, Linbing Wang, Xingye Zhou, Xudong Wang. Predicting Rutting Development Using Machine Learning Methods Based on RIOCHTrack Data. Applied Sciences. 2024;14(8):3177. https://doi.org/10.3390/app14083177

15. Cheng Shen, Zhengguang Wu, Peng Xiao, Aihong Kang, Yangbo Wang. Experimental Research on the AntiReflection Crack Performance of Basalt Fiber Modified Rubber Asphalt Stress-Absorbing Layer. Materials. 2024;17(9):2013. https://doi.org/10.3390/ma17092013

16. Rui Ma, Yiming Li, Peifeng Cheng, Xiule Chen, Aoting Cheng. Low-Temperature Cracking and Improvement Methods for Asphalt Pavement in Cold Regions: A Review. Buildings. 2024;14(12):3802. https://doi.org/10.3390/buildings14123802

17. Rui Pan. Fatigue Performance Evaluation of Warm-Mixed Rubber Asphalt Mixture for Stress Absorption Layer in Cold Area. Buildings. 2024;14(12):3817. https://doi.org/10.3390/buildings14123817

18. Ashraf A, Sophian A, Bawono AA. Crack Detection, Classification, and Segmentation on Road Pavement Material Using Multi-Scale Feature Aggregation and Transformer-Based Attention Mechanisms. Construction Materials. 2024;4(4):655–675. https://doi.org/10.3390/constrmater4040036

19. Bhattacharya S, Taylor R, D’Melo D, Campbell C. Sustainable Design of Pavements: Predicting Pavement Service Life. Infrastructures. 2024;9(9):165. https://doi.org/10.3390/infrastructures9090165

20. Zhen Liu, Bingyan Cui, Qifeng Yang, Xingyu Gu. Sensor-Based Structural Health Monitoring of Asphalt Pavements with Semi-Rigid Bases Combining Accelerated Pavement Testing and a Falling Weight Deflectometer Test. Sensors. 2024;24(3):994. https://doi.org/10.3390/s24030994

21. Asres E, Ghebrab T, Ekwaro-Osire S. Framework for Design of Sustainable Flexible Pavement. Infrastructures. 2022;7(1):6. https://doi.org/10.3390/infrastructures7010006

22. Chun-Hua Hsing, Jun-Han Siao, Yu-Min Wang. A Study on the Design Depth of Permeable Road Pavement through Dynamic Load Experiment. Materials. 2022;15(13):4391. https://doi.org/10.3390/ma15134391

23. Kryukov KM. Assessing the Benefits and Challenges of Implementing 4D Modeling in Construction. Modern Trends in Construction, Urban and Territorial Planning. 2025;4(2):75–84. https://doi.org/10.23947/2949-1835-2025-4-2-75-84

24. Al-Zgul IKh, Sheina SG, Morozova NE. Problems and Prospects of Risk-Oriented Management in Construction: A Review of Current Research. Modern Trends in Construction, Urban and Territorial Planning. 2025;4(3):65–76. https://doi.org/10.23947/2949-1835-2025-4-3-65-76

25. Tiraturyan AN. Backcalculation of Elastic Moduli for Layered Media Based on Dynamic Deformation Analysis (Example of Highways). Russian Journal of Nondestructive Testing. 2024;60(8):947–954. https://doi.org/10.1134/S1061830924602010

26. Xuefeng Ye, Na Yang, Huina Chen, Manman Yang, Tingyao Wu. Damage Identification and Safety Threshold During the Construction and Operation Phases of Cast-in-Place Continuous Rigid Frame Bridges. Buildings. 2025;15(18):3282. https://doi.org/10.3390/buildings15183282

27. Babeshko VA, Evdokimova OV, Babeshko OM, Zaretskaia MV, Gorshkova EM, Mukhin AS, et al. On the Behavior of Materials with Defective Coating under Different Contact Conditions. Materials Physics and Mechanics. 2018;36(1):67–75. https://doi.org/10.18720/MPM.3612018_7

28. Lyapin A, Beskopylny A, Meskhi B. Structural Monitoring of Underground Structures in Multi-Layer Media by Dynamic Methods. Sensors. 2020;20(18):5241. https://doi.org/10.3390/s20185241

29. Tiraturyan AN, Uglova EV, Nikolenko DA, Nikolenko MA. Model for Determining the Elastic Moduli of Road Pavement Layers. Magazine of Civil Engineering. 2021;103(3):10308. https://doi.org/10.34910/MCE.103.8

30. Zhen Liu, Bingyan Cui, Qifeng Yang, Xingyu Gu. Sensor-Based Structural Health Monitoring of Asphalt Pavements with Semi-Rigid Bases Combining Accelerated Pavement Testing and a Falling Weight Deflectometer Test. Sensors. 2024;24(3):994. https://doi.org/10.3390/s24030994

31. Tutka P, Nagórski R, Złotowska M. The Impact of Dynamic Effects on the Results of Non-Destructive Falling Weight Deflectometer Testing. Materials. 2024;17(17):4412. https://doi.org/10.3390/ma17174412

32. Xia Hua, Wael Zatar, Xiangle Cheng, Gang S Chen, Yini She, Xiaotian Xu, et al. Modeling and Characterization of Complex Dynamical Properties of Railway Ballast. Applied Sciences. 2024;14(23):11224. https://doi.org/10.3390/app142311224

33. Meng Wang, Qunding Yu, Yuanjie Xiao, Wengi Li. Resilient Modulus Behavior and Prediction Models of Unbound Permeable Aggregate Base Materials Derived from Tunneling Rock Wastes. Materials. 2022;15(17):6005. https://doi.org/10.3390/ma15176005

34. Fang Wang, Shiyi Zhang, Muyang Huang, Kai Liu, Chaoliang Fu. Assessment of Fatigue Life in Grouted Polyurethane Composites for Pavement Maintenance. Materials. 2025;18(8):1806. https://doi.org/10.3390/ma18081806

35. Gensheng Hu, Gongzuo Shi, Runhua Zhang, Jianfeng Chen, Haichang Wang, Junzhe Wang. Assessment of Intelligent Unmanned Maintenance Construction for Asphalt Pavement Based on Fuzzy Comprehensive Evaluation and Analytical Hierarchy Process. Buildings. 2024;14(4):1112. https://doi.org/10.3390/buildings14041112

36. Piechowicz K, Szymanek S, Kowalski J, Lendo-Siwicka M. Stabilization of Loose Soils as Part of Sustainable Development of Road Infrastructure. Sustainability. 2024;16(9):3592. https://doi.org/10.3390/su16093592

37. Muhudin AA, Zami MS, Budaiwi IM, Abd El Fattah A. Experimental Study of Thermal Conductivity in Soil Stabilization for Sustainable Construction Applications. Sustainability. 2024;16(3):946. https://doi.org/10.3390/su16030946

38. Petrillo A, Fraternali F, Acampora A, Di Chiara G, Colangelo F, Farina I. Innovative Solidification and Stabilization Techniques Using Industrial By-Products for Soil Remediation. Applied Sciences. 2025;15(7):4002. https://doi.org/10.3390/app15074002

39. Jiacheng Cai, Yingchao Luo, Bing Zhang, Lei Chen, Lu Liu. Method for Extracting Impact Signals in Falling Weight Deflectometer Calibration Based on Frequency Filtering and Gradient Detection. Sensors. 2025;25(11):3317. https://doi.org/10.3390/s25113317

40. Kuttah D. Using Repeated Light-Weight Deflectometer Test Data to Predict Flexible Pavement Responses Based on the Mechanistic–Empirical Design Method. Construction Materials. 2024;4(1):216–237. https://doi.org/10.3390/constrmater4010012

41. Ni Guangcong, Tiraturyan AN, Uglova EV, Vorobev AV. Study on Dynamic Response Characteristics of Different Asphalt Pavement Structures Based on ALF Test. Advanced Engineering Research (Rostov-on-Don). 2023;23(3):241–256. https://doi.org/10.23947/2687-1653-2023-23-3-241-256

42. Elshamy MM, Tiraturyan AN, Uglova EV. Evaluation of the Elastic Modulus of Pavement Layers Using Different Types of Neural Networks Models. Advanced Engineering Research (Rostov-on-Don). 2021;21(4):364–375. https://doi.org/10.23947/2687-1653-2021-21-4-364-375.


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For citations:


Tiraturyan A.N. Analysis of Deformation Energy Dissipation in Reinforced-Layer Pavement. Advanced Engineering Research (Rostov-on-Don). 2025;25(4):324-336. https://doi.org/10.23947/2687-1653-2025-25-4-2184

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