Bridging Macro–Microscopic Parameters: Correspondence and Calibration Approaches
Clarifying the correlation between macro–microscopic granular parameters and establishing effective parameter calibration methods for determining granular microparameters is of great importance for numerical simulations of granular flows. Currently, there is a gap in the systematic study of small pa...
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| Language: | English |
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MDPI AG
2025-01-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/2/707 |
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| author | Wei Li Fengling Ji Xiangsheng Chen |
| author_facet | Wei Li Fengling Ji Xiangsheng Chen |
| author_sort | Wei Li |
| collection | DOAJ |
| description | Clarifying the correlation between macro–microscopic granular parameters and establishing effective parameter calibration methods for determining granular microparameters is of great importance for numerical simulations of granular flows. Currently, there is a gap in the systematic study of small particles, using sandy soil as an example, and the development of rational and effective calibration methods. Through inter-particle friction experiments, particle–wall friction experiments, uniaxial compression experiments and numerical simulations, we studied the relationship between macroscopic and microscopic parameters. Based on these studies, appropriate empirical formulas were proposed, and based on the correlation of macroscopic and microscopic parameters, a method for calibrating microscopic parameters was presented. This approach uses empirical formulas for macroscopic and microscopic parameters in combination with the constraints imposed by the granular stiffness coefficient to calibrate granular parameters. This study provides a systematic process framework for the calibration of microscopic parameters of small particles, standardizing the parameter calibration process and improving both efficiency and quality. |
| format | Article |
| id | doaj-art-936312edefc5407f8222cd50760d1c69 |
| institution | Kabale University |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-936312edefc5407f8222cd50760d1c692025-01-24T13:20:32ZengMDPI AGApplied Sciences2076-34172025-01-0115270710.3390/app15020707Bridging Macro–Microscopic Parameters: Correspondence and Calibration ApproachesWei Li0Fengling Ji1Xiangsheng Chen2College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518060, ChinaCollege of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518060, ChinaCollege of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518060, ChinaClarifying the correlation between macro–microscopic granular parameters and establishing effective parameter calibration methods for determining granular microparameters is of great importance for numerical simulations of granular flows. Currently, there is a gap in the systematic study of small particles, using sandy soil as an example, and the development of rational and effective calibration methods. Through inter-particle friction experiments, particle–wall friction experiments, uniaxial compression experiments and numerical simulations, we studied the relationship between macroscopic and microscopic parameters. Based on these studies, appropriate empirical formulas were proposed, and based on the correlation of macroscopic and microscopic parameters, a method for calibrating microscopic parameters was presented. This approach uses empirical formulas for macroscopic and microscopic parameters in combination with the constraints imposed by the granular stiffness coefficient to calibrate granular parameters. This study provides a systematic process framework for the calibration of microscopic parameters of small particles, standardizing the parameter calibration process and improving both efficiency and quality.https://www.mdpi.com/2076-3417/15/2/707microscopic parametersandy soilparameter calibrationdiscrete element methodnumerical simulation |
| spellingShingle | Wei Li Fengling Ji Xiangsheng Chen Bridging Macro–Microscopic Parameters: Correspondence and Calibration Approaches Applied Sciences microscopic parameter sandy soil parameter calibration discrete element method numerical simulation |
| title | Bridging Macro–Microscopic Parameters: Correspondence and Calibration Approaches |
| title_full | Bridging Macro–Microscopic Parameters: Correspondence and Calibration Approaches |
| title_fullStr | Bridging Macro–Microscopic Parameters: Correspondence and Calibration Approaches |
| title_full_unstemmed | Bridging Macro–Microscopic Parameters: Correspondence and Calibration Approaches |
| title_short | Bridging Macro–Microscopic Parameters: Correspondence and Calibration Approaches |
| title_sort | bridging macro microscopic parameters correspondence and calibration approaches |
| topic | microscopic parameter sandy soil parameter calibration discrete element method numerical simulation |
| url | https://www.mdpi.com/2076-3417/15/2/707 |
| work_keys_str_mv | AT weili bridgingmacromicroscopicparameterscorrespondenceandcalibrationapproaches AT fenglingji bridgingmacromicroscopicparameterscorrespondenceandcalibrationapproaches AT xiangshengchen bridgingmacromicroscopicparameterscorrespondenceandcalibrationapproaches |