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Estimating the variability of tillage forces on a chisel plough shank bymodeling the variability of tillage system parameters

机译:估算犁刀柄耕作力的可变性模拟耕作系统参数的变异性

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摘要

In this paper, a probabilistic approach is proposed for quantifying thevariability of the tillage forces for the shank of a chisel plough with narrowtines and to estimate the failure probability. An existing three-dimensionalanalytical model of tool forces from McKyes was used to model the interactionbetween the tillage tools and the soil. The variability of tillage forces wasmodeled, taking into account the variability of soil engineering properties,tool design parameters and operational conditions. The variability of the soilengineering properties was modeled by means of experimental observations. Thedispersion effect of each tillage system parameter on the tillage forces wasdetermined by a sensitivity analysis. The results show that the variability ofthe horizontal and vertical forces follows a lognormal distribution (μ=0.872,ξ=0.449; μ=0.004, ξ=0.447) and the relationship between these forces is positiveand quasi-linear (ρ(PH,Pv)=0.93).This lognormal variability was integrated intothe estimation of the failure probability for the shank by using Monte Carlosimulation (MCS) and the first-order reliability method (FORM). The resultsobtained by these two methods, with the assumption of non-correlation betweenthe horizontal and vertical forces, were almost identical. However, the FORMmethod was faster and simpler, compared to the MCS technique. Furthermore, thecorrelation between the horizontal and vertical forces has no significant effecton the failure probability, regardless of the correlation strength. Therefore,it is concluded that the FORM method can be used to estimate the failureprobability without considering the correlation between horizontal and verticalfo
机译:在本文中,提出了一种概率方法来量化带有窄齿的凿子犁刀柄的耕作力的变化并估计失败的可能性。现有的McKyes工具力三维分析模型用于模拟耕作工具与土壤之间的相互作用。考虑土壤工程特性,工具设计参数和操作条件的变化,对耕作力的变化进行建模。通过实验观察对土壤工程特性的变异性进行了建模。通过敏感性分析确定了各个耕作系统参数对耕作力的分散作用。结果表明,水平力和垂直力的变化遵循对数正态分布(μ= 0.872,ξ= 0.449;μ= 0.004,ξ= 0.447),并且这些力之间的关系为正与准线性(ρ(PH,Pv)) = 0.93)。使用蒙特卡洛模拟(MCS)和一阶可靠性方法(FORM)将对数正态变异性集成到小腿的失效概率估计中。假设水平力和垂直力之间不相关,通过这两种方法获得的结果几乎相同。但是,与MCS技术相比,FORMmethod更快,更简单。此外,与相关力无关,水平力和垂直力之间的相关性对失效概率没有显着影响。因此,可以得出结论,在不考虑水平方向和垂直方向之间的相关性的情况下,FORM方法可用于估计故障概率。

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