Tire–Pavement Interaction Simulation Based on Finite Element Model and Response Surface Methodology
Acquiring accurate tire–pavement interaction information is crucial for pavement mechanical analysis and pavement maintenance. This paper combines the tire finite element model (FEM) and response surface methodology (RSM) to obtain tire–pavement interaction information and to analyze the pavement st...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-09-01
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| Series: | Computation |
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| Online Access: | https://www.mdpi.com/2079-3197/11/9/186 |
| _version_ | 1797580648702017536 |
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| author | Qingtao Zhang Lingxiao Shangguan Tao Li Xianyong Ma Yunfei Yin Zejiao Dong |
| author_facet | Qingtao Zhang Lingxiao Shangguan Tao Li Xianyong Ma Yunfei Yin Zejiao Dong |
| author_sort | Qingtao Zhang |
| collection | DOAJ |
| description | Acquiring accurate tire–pavement interaction information is crucial for pavement mechanical analysis and pavement maintenance. This paper combines the tire finite element model (FEM) and response surface methodology (RSM) to obtain tire–pavement interaction information and to analyze the pavement structure response under different loading conditions. A set of experiments was initially designed through the Box–Behnken design (BBD) method to obtain input and output variables for RSM calibration. The resultant RSM was evaluated accurately using the analysis of variance (ANOVA) approach. Then, tire loading simulations were conducted under different magnitudes of static loading using the optimal parameter combination obtained from the RSM. The results show that the deviations between the simulations and the real test results were mostly below 5%, validating the effectiveness of the tire FEM. Additionally, three different dynamic conditions—including free rolling, full brake, and full traction—were simulated by altering the tire rolling angle and translational velocities. Finally, the pavement mechanical response under the three rolling conditions was analyzed based on the tire–pavement contact feature. |
| first_indexed | 2024-03-10T22:53:52Z |
| format | Article |
| id | doaj.art-120cb1bddd714907a1de95a6eb95dea9 |
| institution | Directory Open Access Journal |
| issn | 2079-3197 |
| language | English |
| last_indexed | 2024-03-10T22:53:52Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Computation |
| spelling | doaj.art-120cb1bddd714907a1de95a6eb95dea92023-11-19T10:07:17ZengMDPI AGComputation2079-31972023-09-0111918610.3390/computation11090186Tire–Pavement Interaction Simulation Based on Finite Element Model and Response Surface MethodologyQingtao Zhang0Lingxiao Shangguan1Tao Li2Xianyong Ma3Yunfei Yin4Zejiao Dong5Shandong High-Speed Construction Management Group Co., Ltd., Jinan 250101, ChinaSchool of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, ChinaShandong High-Speed Construction Management Group Co., Ltd., Jinan 250101, ChinaSchool of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, ChinaSchool of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, ChinaSchool of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, ChinaAcquiring accurate tire–pavement interaction information is crucial for pavement mechanical analysis and pavement maintenance. This paper combines the tire finite element model (FEM) and response surface methodology (RSM) to obtain tire–pavement interaction information and to analyze the pavement structure response under different loading conditions. A set of experiments was initially designed through the Box–Behnken design (BBD) method to obtain input and output variables for RSM calibration. The resultant RSM was evaluated accurately using the analysis of variance (ANOVA) approach. Then, tire loading simulations were conducted under different magnitudes of static loading using the optimal parameter combination obtained from the RSM. The results show that the deviations between the simulations and the real test results were mostly below 5%, validating the effectiveness of the tire FEM. Additionally, three different dynamic conditions—including free rolling, full brake, and full traction—were simulated by altering the tire rolling angle and translational velocities. Finally, the pavement mechanical response under the three rolling conditions was analyzed based on the tire–pavement contact feature.https://www.mdpi.com/2079-3197/11/9/186response surface methodologytire–pavement interaction simulationpavement mechanical response analysis |
| spellingShingle | Qingtao Zhang Lingxiao Shangguan Tao Li Xianyong Ma Yunfei Yin Zejiao Dong Tire–Pavement Interaction Simulation Based on Finite Element Model and Response Surface Methodology Computation response surface methodology tire–pavement interaction simulation pavement mechanical response analysis |
| title | Tire–Pavement Interaction Simulation Based on Finite Element Model and Response Surface Methodology |
| title_full | Tire–Pavement Interaction Simulation Based on Finite Element Model and Response Surface Methodology |
| title_fullStr | Tire–Pavement Interaction Simulation Based on Finite Element Model and Response Surface Methodology |
| title_full_unstemmed | Tire–Pavement Interaction Simulation Based on Finite Element Model and Response Surface Methodology |
| title_short | Tire–Pavement Interaction Simulation Based on Finite Element Model and Response Surface Methodology |
| title_sort | tire pavement interaction simulation based on finite element model and response surface methodology |
| topic | response surface methodology tire–pavement interaction simulation pavement mechanical response analysis |
| url | https://www.mdpi.com/2079-3197/11/9/186 |
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