Chunxiang Zhuo , Haiqing Tian , Ziqing Xiao , Qiaofei Mu , Leifeng Tang , Kai Zhao
{"title":"基于离散元法和纤维束模型的玉米秸秆-土壤复合材料力学响应及破坏机理模拟分析","authors":"Chunxiang Zhuo , Haiqing Tian , Ziqing Xiao , Qiaofei Mu , Leifeng Tang , Kai Zhao","doi":"10.1016/j.compag.2025.110452","DOIUrl":null,"url":null,"abstract":"<div><div>The interaction between agricultural machinery, root systems, and soil is crucial for root-soil mechanics and farmland conservation. However, existing studies have rarely explored the fine-scale simulation of crop root failure processes. Analyzing complex root fracture processes and failure mechanisms using discrete element method (DEM) still has certain limitations. This study develops a discrete element model of the crop stubble-soil composite (SSC) based on soil characteristics in arid and cold regions and maize root distribution. Additionally, the fiber bundle model (FBM) is applied to explain the root system’s progressive failure mode and stress distribution. The results show that the SSC model accurately represents the root-soil mechanical response and failure characteristics under external loading. The failure probability of root segments and cumulative failure probability follow Gaussian probability density function and cumulative distribution function, respectively, consistent with the statistical characteristics of fiber failure described by the FBM. Root particle bond rupture shows staged failure behavior, with the basal anchorage zone being most prone to concentrated fracture failure. The root functional zone exhibits a progressive failure process, while the bottom elongation zone demonstrates better stress dispersion and slippage failure. Under external loading, soil particle stress feedback generally lags behind root failure. This study provides a refined modeling method for root-soil mechanical behavior during agricultural equipment operations, and introduces a computational method based on FBM theory to elucidate the mechanisms of root failure during the composite disturbance process, with potential applications in tillage protection and root-soil stability studies.</div></div>","PeriodicalId":50627,"journal":{"name":"Computers and Electronics in Agriculture","volume":"236 ","pages":"Article 110452"},"PeriodicalIF":7.7000,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Simulation analysis of mechanical response and failure mechanisms of maize stubble-soil composite based on discrete element method and fiber bundle model\",\"authors\":\"Chunxiang Zhuo , Haiqing Tian , Ziqing Xiao , Qiaofei Mu , Leifeng Tang , Kai Zhao\",\"doi\":\"10.1016/j.compag.2025.110452\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The interaction between agricultural machinery, root systems, and soil is crucial for root-soil mechanics and farmland conservation. However, existing studies have rarely explored the fine-scale simulation of crop root failure processes. Analyzing complex root fracture processes and failure mechanisms using discrete element method (DEM) still has certain limitations. This study develops a discrete element model of the crop stubble-soil composite (SSC) based on soil characteristics in arid and cold regions and maize root distribution. Additionally, the fiber bundle model (FBM) is applied to explain the root system’s progressive failure mode and stress distribution. The results show that the SSC model accurately represents the root-soil mechanical response and failure characteristics under external loading. The failure probability of root segments and cumulative failure probability follow Gaussian probability density function and cumulative distribution function, respectively, consistent with the statistical characteristics of fiber failure described by the FBM. Root particle bond rupture shows staged failure behavior, with the basal anchorage zone being most prone to concentrated fracture failure. The root functional zone exhibits a progressive failure process, while the bottom elongation zone demonstrates better stress dispersion and slippage failure. Under external loading, soil particle stress feedback generally lags behind root failure. This study provides a refined modeling method for root-soil mechanical behavior during agricultural equipment operations, and introduces a computational method based on FBM theory to elucidate the mechanisms of root failure during the composite disturbance process, with potential applications in tillage protection and root-soil stability studies.</div></div>\",\"PeriodicalId\":50627,\"journal\":{\"name\":\"Computers and Electronics in Agriculture\",\"volume\":\"236 \",\"pages\":\"Article 110452\"},\"PeriodicalIF\":7.7000,\"publicationDate\":\"2025-05-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computers and Electronics in Agriculture\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0168169925005587\",\"RegionNum\":1,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AGRICULTURE, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers and Electronics in Agriculture","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0168169925005587","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
Simulation analysis of mechanical response and failure mechanisms of maize stubble-soil composite based on discrete element method and fiber bundle model
The interaction between agricultural machinery, root systems, and soil is crucial for root-soil mechanics and farmland conservation. However, existing studies have rarely explored the fine-scale simulation of crop root failure processes. Analyzing complex root fracture processes and failure mechanisms using discrete element method (DEM) still has certain limitations. This study develops a discrete element model of the crop stubble-soil composite (SSC) based on soil characteristics in arid and cold regions and maize root distribution. Additionally, the fiber bundle model (FBM) is applied to explain the root system’s progressive failure mode and stress distribution. The results show that the SSC model accurately represents the root-soil mechanical response and failure characteristics under external loading. The failure probability of root segments and cumulative failure probability follow Gaussian probability density function and cumulative distribution function, respectively, consistent with the statistical characteristics of fiber failure described by the FBM. Root particle bond rupture shows staged failure behavior, with the basal anchorage zone being most prone to concentrated fracture failure. The root functional zone exhibits a progressive failure process, while the bottom elongation zone demonstrates better stress dispersion and slippage failure. Under external loading, soil particle stress feedback generally lags behind root failure. This study provides a refined modeling method for root-soil mechanical behavior during agricultural equipment operations, and introduces a computational method based on FBM theory to elucidate the mechanisms of root failure during the composite disturbance process, with potential applications in tillage protection and root-soil stability studies.
期刊介绍:
Computers and Electronics in Agriculture provides international coverage of advancements in computer hardware, software, electronic instrumentation, and control systems applied to agricultural challenges. Encompassing agronomy, horticulture, forestry, aquaculture, and animal farming, the journal publishes original papers, reviews, and applications notes. It explores the use of computers and electronics in plant or animal agricultural production, covering topics like agricultural soils, water, pests, controlled environments, and waste. The scope extends to on-farm post-harvest operations and relevant technologies, including artificial intelligence, sensors, machine vision, robotics, networking, and simulation modeling. Its companion journal, Smart Agricultural Technology, continues the focus on smart applications in production agriculture.