Solving the Problem of Determining the Mechanical Properties of Road Structure Materials Using Neural Network Technologies
Introduction. Determination of mechanical properties of layered structures of highways is an urgent task. This is due, firstly, to the need to control the quality of new sections during the construction of highways. Secondly, to assess the condition of existing roads with the accumulation of damage...
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| Format: | Article |
| Language: | Russian |
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Don State Technical University
2022-10-01
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| Series: | Advanced Engineering Research |
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| Online Access: | https://www.vestnik-donstu.ru/jour/article/view/1914 |
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| author | N. E. Babushkina A. A. Lyapin |
| author_facet | N. E. Babushkina A. A. Lyapin |
| author_sort | N. E. Babushkina |
| collection | DOAJ |
| description | Introduction. Determination of mechanical properties of layered structures of highways is an urgent task. This is due, firstly, to the need to control the quality of new sections during the construction of highways. Secondly, to assess the condition of existing roads with the accumulation of damage and defects is of interest. The formation of multiple defects (cracks) changes the averaged viscoelastic properties of the components of the structure, specifically, the surface asphalt-concrete layers. The article discusses the use of neural network technologies to improve the accuracy of the recovery of viscoelastic properties. This approach is based on experimental methods. As an example, we can give the definition of the dynamic deflection of a structure from a falling weight, FWD.Materials and Methods. The elastic modulus of a three-layer structure was determined on the basis of a neural network. To find out the solution accuracy, it was compared to the results of mathematical modeling and experimental data.Results. The experimental and calculated parameters of the elastic modulus of individual layers of the road structure turned out to be very close. The proposed approach to determining the mechanical properties of materials of road structures allowed us to apply the obtained results to examination of the condition of individual elements and the entire road structure.Discussion and Conclusions. The prospects of using artificial intelligence to determine the mechanical properties of layered structures was shown. Further improvement of methods and tools for analyzing the behavior of road structures under dynamic loading will expand existing approaches to assessing the condition of road structures. |
| format | Article |
| id | doaj-art-e08a7126347547ce898eb481c6decc6f |
| institution | Kabale University |
| issn | 2687-1653 |
| language | Russian |
| publishDate | 2022-10-01 |
| publisher | Don State Technical University |
| record_format | Article |
| series | Advanced Engineering Research |
| spelling | doaj-art-e08a7126347547ce898eb481c6decc6f2025-08-20T03:57:12ZrusDon State Technical UniversityAdvanced Engineering Research2687-16532022-10-0122328529210.23947/2687-1653-2022-22-3-285-2921573Solving the Problem of Determining the Mechanical Properties of Road Structure Materials Using Neural Network TechnologiesN. E. Babushkina0A. A. Lyapin1Don State Technical UniversityDon State Technical UniversityIntroduction. Determination of mechanical properties of layered structures of highways is an urgent task. This is due, firstly, to the need to control the quality of new sections during the construction of highways. Secondly, to assess the condition of existing roads with the accumulation of damage and defects is of interest. The formation of multiple defects (cracks) changes the averaged viscoelastic properties of the components of the structure, specifically, the surface asphalt-concrete layers. The article discusses the use of neural network technologies to improve the accuracy of the recovery of viscoelastic properties. This approach is based on experimental methods. As an example, we can give the definition of the dynamic deflection of a structure from a falling weight, FWD.Materials and Methods. The elastic modulus of a three-layer structure was determined on the basis of a neural network. To find out the solution accuracy, it was compared to the results of mathematical modeling and experimental data.Results. The experimental and calculated parameters of the elastic modulus of individual layers of the road structure turned out to be very close. The proposed approach to determining the mechanical properties of materials of road structures allowed us to apply the obtained results to examination of the condition of individual elements and the entire road structure.Discussion and Conclusions. The prospects of using artificial intelligence to determine the mechanical properties of layered structures was shown. Further improvement of methods and tools for analyzing the behavior of road structures under dynamic loading will expand existing approaches to assessing the condition of road structures.https://www.vestnik-donstu.ru/jour/article/view/1914neural networknon-destructive testingmodulus of elasticityregression analysismultilayer networkimpact indentationneural network technologies |
| spellingShingle | N. E. Babushkina A. A. Lyapin Solving the Problem of Determining the Mechanical Properties of Road Structure Materials Using Neural Network Technologies Advanced Engineering Research neural network non-destructive testing modulus of elasticity regression analysis multilayer network impact indentation neural network technologies |
| title | Solving the Problem of Determining the Mechanical Properties of Road Structure Materials Using Neural Network Technologies |
| title_full | Solving the Problem of Determining the Mechanical Properties of Road Structure Materials Using Neural Network Technologies |
| title_fullStr | Solving the Problem of Determining the Mechanical Properties of Road Structure Materials Using Neural Network Technologies |
| title_full_unstemmed | Solving the Problem of Determining the Mechanical Properties of Road Structure Materials Using Neural Network Technologies |
| title_short | Solving the Problem of Determining the Mechanical Properties of Road Structure Materials Using Neural Network Technologies |
| title_sort | solving the problem of determining the mechanical properties of road structure materials using neural network technologies |
| topic | neural network non-destructive testing modulus of elasticity regression analysis multilayer network impact indentation neural network technologies |
| url | https://www.vestnik-donstu.ru/jour/article/view/1914 |
| work_keys_str_mv | AT nebabushkina solvingtheproblemofdeterminingthemechanicalpropertiesofroadstructurematerialsusingneuralnetworktechnologies AT aalyapin solvingtheproblemofdeterminingthemechanicalpropertiesofroadstructurematerialsusingneuralnetworktechnologies |