使用模型来确定在减少耕作的甘蔗地区拖拉机恢复土壤负荷的限制条件

Ana Laura Filho de Araújo, Cristiano Márcio Alves de Souza, Sálvio Napoleão Soares Arcoverde, Paulo Alexandre Graciano Maciak, Andrés Hideki Tanaka Suárez
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引用次数: 1

摘要

糖和酒精部门的显著增长促进了重型农用车车队的增加,以满足对商品的需求;然而,在土壤湿度不足的地区,机器的密集交通导致了压实,损害了甘蔗的生产力。为了确定减少耕作制度下恢复使用拖拉机的最佳条件,以甘蔗栽培的异肥力红壤为研究对象,对其承载能力进行了评估,并建立了应力分布模型。在120天的第一次再生作物期间进行土壤取样,使用金属圆柱体在作物行内0.05米深,行间0.15米深的地方安装。试样进行单轴压缩试验,测定土的预固结压力。减少耕作的土壤承载力在表层(0.05 m)处最低,在0.15 m处最高。承载能力被证明是分析土壤结构退化的有效指标,通过展示由于减少耕作和农业机械在田间的影响而导致的各层和采样位置的可压缩性。所采用的牵引力和土壤应力分布预测模型能够预测拖拉机的最佳性能,并提供应力数据,以便研究农用轮胎拖拉机的交通限制含水量。
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The use of modelling to determine the limiting conditions for resuming soil loading by tractor in an area of sugar cane under reduced tillage
The marked growth of the sugar and alcohol sector has promoted an increase in the fleet of heavy agricultural vehicles to meet the demand for commodities; however, the intense traffic of machines in areas of insufficient soil moisture has resulted in compaction, compromising the productivity of the sugar cane. In order to determine the optimal conditions for resuming the use of tractors under a reduced tillage system, the bearing capacity was evaluated and stress distribution was modelled in a dystroferric Red Latosol cultivated with sugar cane. Soil sampling was carried out during the first ratoon crop at 120 days, using metallic cylinders installed at a depth of 0.05 m in the crop rows and 0.15 m between rows. The samples were submitted to the uniaxial compression test to determine the preconsolidation pressure of the soil. The reduced tillage gave the lowest bearing capacity at the soil surface (0.05 m), while the highest values ​​were found at a depth of 0.15 m. The bearing capacity proved to be an efficient indicator for analysing the structural degradation of the soil by demonstrating the compressibility of the various layers and sampling positions resulting from reduced tillage and the impact of agricultural machines in the field. The prediction model for traction and soil stress distribution that was employed was able to predict the optimal performance of the tractor, and provide stress data that would allow a study of the limiting water content for the traffic of agricultural tyre tractors.
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