Amplitude-Frequency Characteristics of Transitions as an Indicator of Structural Condition of Lloyd Media (Example of Highways)
Source abstract
Abstract
Abstract Elastic half-space models are widely used in geophysics and road science. In road science, these models are most often used to study the stress-strain state of pavements, which are artificially created layered media on the surface of the soil and geological massif, the main task of which is to distribute and transfer the load from a moving vehicle and ensure the comfort and safety of the user, as well as the durability of the road. Taking into account the common properties of road pavement and geological environment, methods close to geophysical methods are becoming more and more widespread when assessing the condition of road pavements. In the article the method of harmonic analysis is applied, which is realized to calculate the main characteristics of the response of layered media to test shock loading. Calculations of the amplitude–frequency characteristic of displacements at the point of shock loading were performed, and the change of its shape depending on the elastic moduli of the half-space layers was analyzed. It was found that a decrease in the elastic modulus of intermediate layers forms a pronounced ‘plateau’ in the low-frequency response of displacements. Decrease in the elastic modulus of the upper layer of the medium leads to an increase in the amplitude of displacements as the frequency increases. An increase in the elastic modulus of the underlying half-space leads to the appearance of an inflection point localized in the region of 500 rad/s, separating the amplitude–frequency response of displacements into two sections. The obtained results can be used in the development of nondestructive testing methods for layered media, oriented on the recording and analysis of the displacement amplitude–frequency response.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Infrastructure Maintenance and Monitoring · Railway Engineering and Dynamics · Asphalt Pavement Performance Evaluation
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (26)
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1. Vatul’yan, A.O., Koeffitsientnye obratnye zadachi mekhaniki (Coefficient Inverse Problems in Mechanics), Moscow: Fizmatlit, 2019.
2. Vatul’yan, A.O. and Plotnikov, D.K., Inverse coefficient problems in mechanics, Vestn. Permsk. Nats. Issled. Politekh. Univ. Mekh., 2019, no. 3, pp. 37–47.
3. Kabanishin, S.I., Obratnye I nekorrektnye zadachi (Inverse and Ill-Posed Problems), Novosibirsk: Sib. Otdel. RAN, 2018.
4. Bakushinsky, A.B. and Leonov, A.S., Modeling the solution of the acoustic inverse problem of scattering for a three-dimensional nonstationary medium, Acoust. Phys., 2024, vol. 70, no. 1, pp. 153–164. https://doi.org/10.1134/S106377102360140110.1134/S1063771023601401 ↗
5. Babushkina, N.E. and Lyapin, A.A., Application of neural networks in the inverse coefficient problem for layered media, Intell. Inf. Tekhnol. Mat. Model. Tr. Mezhdunar. Nauchn. Konf. (Divnomorskoe, 2022), Dolgov, V.V., Ed., Rostov-on-Don: Donsk. Gos. Tekh. Univ., 2022, pp. 132–135.
6. Tiraturyan, A.N., Backcalculation of elastic moduli for layered media based on dynamic deformation analysis (example of highways), Russ. J. Nondestr. Test., 2024, no. 8, pp. 52–61. https://doi.org/10.31857/S013030822408005910.31857/S0130308224080059 ↗
7. Tiraturyan, A.N., Lyapin, A.A., and Uglova, E.V., Improvement of nondestructive method for determining mechanical characteristics of multilayer structure elements (case study of road pavements), Vestn. Permsk. Nats. Issled. Politekh. Univ. Mekh., 2023, no. 1, pp. 56–65. https://doi.org/10.15593/perm.mech/2023.1.0610.15593/perm.mech/2023.1.06 ↗
8. Qiao, M., Wang, X., and Hou, R., Case study: Validation of the spectral-analysis-of-surface-waves method for concrete pavement condition evaluation, Appl. Sci., 2023, vol. 13, no. 20, p. 11410.10.3390/app132011410 ↗
9. Ghani, N.A., Classification of rigid pavement at airport taxiway using shear wave velocity and elastic modulus derived from spectral analysis of surface waves (SASW) method, J. Failure Anal. Prevention, 2022, vol. 22, no. 1, pp. 333–345.10.1007/s11668-021-01301-9 ↗
10. Gucunski, N. and Maher, A., Evaluation of seismic pavement analyzer for pavement condition monitoring, 2002, no. FHWA-NJ-2002-012.
11. Ranyal, E., Sadhu, A., and Jain, K., Road condition monitoring using smart sensing and artificial intelligence: A review, Sensors, 2022, vol. 22, no. 8, p. 3044.10.3390/s22083044 ↗
12. Sun, Q., Verification and analysis of the pavement system transfer function based on falling weight deflectometer testing, J. Nondestr. Eval., 2024, vol. 43, no. 4, p. 110.10.1007/s10921-024-01125-1 ↗
13. Nakhaei, M. and Timm, D.H., A new methodology to improve backcalculation of flexible pavements with stabilized foundations, Constr. Build. Mater., 2023, vol. 368, p. 130405.10.1016/j.conbuildmat.2023.130405 ↗
14. Coletti, K., Romeo, R.C., and Davis, R.B., Bayesian backcalculation of pavement properties using parallel transitional Markov chain Monte Carlo, Comput.-Aided Civ. Infrastruct. Eng., 2024.10.1111/mice.13123 ↗
15. Fu, G., Cao, D., Ong, G.P., Wang, J., and Sha, D., A viscoelastic wave propagation approach for dynamic backcalculation of layer properties of asphalt pavements under an impact load, Comput. Geotech., 2024, vol. 176, p. 106752.10.1016/j.compgeo.2024.106752 ↗
16. McBride, S., Burdisso, R., and Sandu, C., Modeling vibration-induced tire-pavement interaction noise in the mid-frequency range, Tire Sci. Technol., 2021, vol. 49, no. 2, pp. 146–169.10.2346/tire.20.190222 ↗
17. Yang, S., Alhasan, A., Zhang, Y., Ceylan, H., and Kim, S., Pavement curling and warping analysis using wavelet techniques, Int. J. Pavement Eng., 2021, vol. 22, no. 14, pp. 1833–1848.10.1080/10298436.2020.1726346 ↗
18. Shi, Y., Liu, H., and Wang, G., Modeling of asphalt mixture-screed interaction: A nonlinear dynamic vibration model for improving paving density, Constr. Build. Mater., 2021, vol. 311, p. 125296.10.1016/j.conbuildmat.2021.125296 ↗
19. Ye, Z., Wei, Y., Yang, B., and Wang, L., Performance testing of micro-electromechanical acceleration sensors for pavement vibration monitoring, Micromachines, 2023, vol. 14, no. 1, p. 153.10.3390/mi14010153 ↗
20. Lyapin, A. and Glushko, S., Multilayer medium behavior simulation in the presence of delamination defects, E3S Web of Conferences, EDP Sciences, 2023, vol. 458, p. 10005.
21. Infrastructure operation and maintenance. https://www.sweco.dk/en/services/transportation-and-infrastructure/infrastructure-operation-and-maintenance/. Accessed March 24, 2025.
22. Razin, A.V. and Sobisevich, A.L., Geoakustika sloistykh sred (Geoacoustics of Layered Media), Moscow: Schmidt Inst. Fiz. Zemli, 2012.
23. Babeshko, V.A., Glushkov, E.V., and Zinchenko, Zh.V., Dinamika neodnorodnykh lineino-uprugikh sred (Dynamics of Heterogeneous Linear-Elastic Media), Moscow: Nauka, 1989.
24. Lyapin, A., Beskopylny, A., and Meskhi, B., Structural monitoring of underground structures in multi-layer media by dynamic methods, Sensors, 2020, vol. 20, no. 18, pp. 1–19.10.3390/s20185241 ↗
25. Vorovich, I.I. and Babeshko, V.A., Dinamicheskie smeshannye zadachi teorii uprugosti dlya neklassicheskikh oblastei (Dynamic Mixed Problems of Elasticity Theory for Nonclassical Domains), Moscow: Nauka, 1989.
26. Boev, S.I. and Seleznev, M.G., On one approach in nonstationary problems of elasticity theory, Izv. SKNTs VSh. Estestv. Nauki, 1989, no. 2, pp. 76–81.