{"title":"轮胎-土壤相互作用离散元模拟参数标定","authors":"Yajun Zhao, Yifan Hou, Xiao Li, Haijun Zhu, Siyuan Cen, Hongling Jin","doi":"10.35633/inmateh-69-67","DOIUrl":null,"url":null,"abstract":"To carry out simulation research on tire-soil interaction, EDEM software was used to calibrate the test soil and the contact parameters between the tire and soil. The soil contact model was the Edinburgh Elasto-Plastic Adhesion (EEPA) model. Using the soil repose angle as the repose value, the contact plasticity ratio, the soil-soil rolling friction coefficient, and the tensile exponential (Tensile exp) were respectively calculated using the Plackett-Burman test, the steepest climbing test, and the Box-Behnken test, and the optimal combination of parameters was found to be E = 0.08, B = 0.1, and F = 4.8. The values of the remaining parameters were as follows: a soil-soil static friction coefficient of 0.45, a restitution coefficient of 0.5, a surface energy of 4, and a tangential stiffness multiplier of 0.35. Based on the slope sliding method, the coefficient of static friction between soil and rubber was calculated as 0.88. On this basis, a central combination test was designed to calibrate the rubber-soil rolling friction coefficient and coefficient of restitution, the optimal combination of which was found to be H = 0.18 and I = 0.55. A soil tank model was created using the optimal parameters, and the correctness of the established soil discrete element model and rubber-soil contact parameters was validated by comparing the simulation results and the results of an experiment of the tire driving process.","PeriodicalId":44197,"journal":{"name":"INMATEH-Agricultural Engineering","volume":" ","pages":""},"PeriodicalIF":0.6000,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"PARAMETER CALIBRATION FOR THE DISCRETE ELEMENT SIMULATION OF TIRE-SOIL INTERACTION\",\"authors\":\"Yajun Zhao, Yifan Hou, Xiao Li, Haijun Zhu, Siyuan Cen, Hongling Jin\",\"doi\":\"10.35633/inmateh-69-67\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To carry out simulation research on tire-soil interaction, EDEM software was used to calibrate the test soil and the contact parameters between the tire and soil. The soil contact model was the Edinburgh Elasto-Plastic Adhesion (EEPA) model. Using the soil repose angle as the repose value, the contact plasticity ratio, the soil-soil rolling friction coefficient, and the tensile exponential (Tensile exp) were respectively calculated using the Plackett-Burman test, the steepest climbing test, and the Box-Behnken test, and the optimal combination of parameters was found to be E = 0.08, B = 0.1, and F = 4.8. The values of the remaining parameters were as follows: a soil-soil static friction coefficient of 0.45, a restitution coefficient of 0.5, a surface energy of 4, and a tangential stiffness multiplier of 0.35. Based on the slope sliding method, the coefficient of static friction between soil and rubber was calculated as 0.88. On this basis, a central combination test was designed to calibrate the rubber-soil rolling friction coefficient and coefficient of restitution, the optimal combination of which was found to be H = 0.18 and I = 0.55. A soil tank model was created using the optimal parameters, and the correctness of the established soil discrete element model and rubber-soil contact parameters was validated by comparing the simulation results and the results of an experiment of the tire driving process.\",\"PeriodicalId\":44197,\"journal\":{\"name\":\"INMATEH-Agricultural Engineering\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2023-04-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"INMATEH-Agricultural Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.35633/inmateh-69-67\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"AGRICULTURAL ENGINEERING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"INMATEH-Agricultural Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35633/inmateh-69-67","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"AGRICULTURAL ENGINEERING","Score":null,"Total":0}
PARAMETER CALIBRATION FOR THE DISCRETE ELEMENT SIMULATION OF TIRE-SOIL INTERACTION
To carry out simulation research on tire-soil interaction, EDEM software was used to calibrate the test soil and the contact parameters between the tire and soil. The soil contact model was the Edinburgh Elasto-Plastic Adhesion (EEPA) model. Using the soil repose angle as the repose value, the contact plasticity ratio, the soil-soil rolling friction coefficient, and the tensile exponential (Tensile exp) were respectively calculated using the Plackett-Burman test, the steepest climbing test, and the Box-Behnken test, and the optimal combination of parameters was found to be E = 0.08, B = 0.1, and F = 4.8. The values of the remaining parameters were as follows: a soil-soil static friction coefficient of 0.45, a restitution coefficient of 0.5, a surface energy of 4, and a tangential stiffness multiplier of 0.35. Based on the slope sliding method, the coefficient of static friction between soil and rubber was calculated as 0.88. On this basis, a central combination test was designed to calibrate the rubber-soil rolling friction coefficient and coefficient of restitution, the optimal combination of which was found to be H = 0.18 and I = 0.55. A soil tank model was created using the optimal parameters, and the correctness of the established soil discrete element model and rubber-soil contact parameters was validated by comparing the simulation results and the results of an experiment of the tire driving process.