Construction and validation of a mathematical model for the pressure subsidence of mixed crop straw in Shajiang black soil

IF 7.7 1区农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY

Computers and Electronics in Agriculture Pub Date : 2024-11-18 DOI:10.1016/j.compag.2024.109649

Dongbo Xie , Zhiqiang Li , Ce Liu , Gang Zhao , Liqing Chen

{"title":"Construction and validation of a mathematical model for the pressure subsidence of mixed crop straw in Shajiang black soil","authors":"Dongbo Xie , Zhiqiang Li , Ce Liu , Gang Zhao , Liqing Chen","doi":"10.1016/j.compag.2024.109649","DOIUrl":null,"url":null,"abstract":"<div><div>The soil properties of mixed crop straw do not enable conventional pressure subsidence models to characterize the relationship between straw amount and pressure-bearing properties accurately. Based on the distribution of straw in the field, this study explored the effect of the amount of surface straw cover on the pressure subsidence relationship in Shajiang black soil. The quadratic rotated orthogonal combination test was used to quantify the mathematical relationships of Shajiang black soil pressure subsidence modeling with the amount of surface straw cover (SSC) and mass mixing ratio of soil to straw (MSS). Then, using the weighted least squares method, the pressure subsidence parameters (cohesive deformation modulus, friction deformation modulus, and subsidence index) were obtained, and the Bekker model was modified to construct a pressure subsidence model for the straw-containing soil. Finally, the modified model was verified under conditions of a water content of 18 %, the SSC of 2.5 t·ha<sup>−1</sup>, and the MSS of 2.5 %. Results showed that the proposed pressure subsidence model predicted the value with a relative error of 2.21 % compared with the experimental measurements. The model’s predicted value accuracy improved by 10.65 % compared to the conventional model. From these results, this study proposes that a mixed crop straw Shajiang black soil pressure subsidence model can predict the soil’s internal stress transfer and stress–strain conditions.</div></div>","PeriodicalId":50627,"journal":{"name":"Computers and Electronics in Agriculture","volume":"227 ","pages":"Article 109649"},"PeriodicalIF":7.7000,"publicationDate":"2024-11-18","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/S0168169924010408","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}

引用次数: 0

Abstract

The soil properties of mixed crop straw do not enable conventional pressure subsidence models to characterize the relationship between straw amount and pressure-bearing properties accurately. Based on the distribution of straw in the field, this study explored the effect of the amount of surface straw cover on the pressure subsidence relationship in Shajiang black soil. The quadratic rotated orthogonal combination test was used to quantify the mathematical relationships of Shajiang black soil pressure subsidence modeling with the amount of surface straw cover (SSC) and mass mixing ratio of soil to straw (MSS). Then, using the weighted least squares method, the pressure subsidence parameters (cohesive deformation modulus, friction deformation modulus, and subsidence index) were obtained, and the Bekker model was modified to construct a pressure subsidence model for the straw-containing soil. Finally, the modified model was verified under conditions of a water content of 18 %, the SSC of 2.5 t·ha⁻¹, and the MSS of 2.5 %. Results showed that the proposed pressure subsidence model predicted the value with a relative error of 2.21 % compared with the experimental measurements. The model’s predicted value accuracy improved by 10.65 % compared to the conventional model. From these results, this study proposes that a mixed crop straw Shajiang black soil pressure subsidence model can predict the soil’s internal stress transfer and stress–strain conditions.

查看原文本刊更多论文

沙江黑土中混合作物秸秆压力沉降数学模型的构建与验证

混合作物秸秆的土壤特性使得传统的压力沉降模型无法准确表征秸秆量与承压特性之间的关系。本研究根据田间秸秆的分布情况，探讨了地表秸秆覆盖量对沙江黑土压力沉降关系的影响。通过二次旋转正交组合检验，量化了沙江黑土压力下沉模型与地表秸秆覆盖量（SSC）和土壤与秸秆质量混合比（MSS）的数学关系。然后，利用加权最小二乘法得到了压力下沉参数（粘聚变形模量、摩擦变形模量和下沉指数），并对 Bekker 模型进行了修正，构建了含秸秆土壤的压力下沉模型。最后，在含水量为 18%、SSC 为 2.5 吨-公顷-1 和 MSS 为 2.5% 的条件下对修改后的模型进行了验证。结果表明，与实验测量结果相比，建议的压力沉降模型预测值的相对误差为 2.21%。与传统模型相比，该模型的预测值精度提高了 10.65%。从这些结果来看，本研究提出的混合作物秸秆沙江黑土压力沉降模型可以预测土壤的内应力传递和应力应变状况。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Computers and Electronics in Agriculture 工程技术-计算机：跨学科应用

CiteScore

15.30

自引率

14.50%

发文量

800

审稿时长

62 days

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.