邹佩实,马永财,王汉羊,毛欣,陈鹏.三江平原地区白浆土离散元仿真参数标定与试验[J].干旱地区农业研究,2025,(5):280~289
三江平原地区白浆土离散元仿真参数标定与试验
Calibration and testing of discrete element simulation parameters of albic soil in Sanjiang Plain
  
DOI:10.7606/j.issn.1000-7601.2025.05.28
中文关键词:  白浆土  离散元法  EDEM仿真  参数标定  三江平原
英文关键词:albic soil  discrete element method  EDEM simulation  parameter calibration  Sanjiang Plain
基金项目:国家重点研发计划项目(2023YFD1501005);黑龙江八一农垦大学“揭榜挂帅”科技攻关项目(JB20220001)
作者单位
邹佩实 黑龙江八一农垦大学工程学院黑龙江 大庆 163319 
马永财 黑龙江八一农垦大学工程学院黑龙江 大庆 163319 
王汉羊 黑龙江八一农垦大学工程学院黑龙江 大庆 163319 
毛欣 黑龙江八一农垦大学工程学院黑龙江 大庆 163319 
陈鹏 黑龙江八一农垦大学工程学院黑龙江 大庆 163319 
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中文摘要:
      为探究三江平原白浆土区白浆土准确的离散元仿真模型参数,构建有价值的土壤模型,本文对表土层(0~15 cm)土壤-白浆层(15~35 cm)土壤混料进行参数标定试验研究。采用物理试验与EDEM仿真试验相结合的方法,选用Hertz-Mindlin with JKR接触模型进行离散元仿真接触参数标定,利用Design-Expert软件中Plackett Burman试验,最陡爬坡试验以实际堆积角为目标,利用软件寻优功能对显著参数进行优化。结果表明最优参数组合表土层土壤-白浆层土壤滚动摩擦系数0.220,白浆层土壤-白浆层土壤滚动摩擦系数0.223,JKR表面能为0.055 J·m-2(白浆层)和0.044 J·m-2(表土层-白浆层)。在该参数组合条件下进行仿真试验,其相对误差为0.84%,证明仿真结果与试验结果吻合度较高。
英文摘要:
      In order to explore the accurate discrete element simulation model parameters of albic soil in the albic soil area of Sanjiang Plain and construct a valuable soil model, this paper conducted parameter calibration experiments on the topsoil (0~15 cm) and soil\|albic soil (15~35 cm) mixture. The Hertz-Mindlin with JKR contact model was used to calibrate the contact parameters of discrete element simulation by combining physical test with EDEM simulation test. The Plackett-Burman test in Design-Expert software was used. The steepest ascent test took the actual accumulation angle as the target, and the software optimization function was used to optimize the significant parameters. The results showed that the optimal parameter combination of topsoil soil\|albic horizon soil rolling friction coefficient was 0.220, the albic horizon soil\|albic horizon soil rolling friction coefficient was 0.223, and the JKR surface energy was 0.055 J·m-2 (albic horizon) and 0.044 J·m-2 (opsoil\|albic horizon). Under this parameter combination condition, the simulation experiment was conducted with a relative error of 0.84%, which proves that the simulation results are highly consistent with experimental results.
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