Development and stochastic validation of a parameterized model of maize stalk flexure and buckling
Development and stochastic validation of a parameterized model of maize stalk flexure and buckling
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DOI：
10.1093/insilicoplants/diad010
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发表时间：
2023-07-01
期刊：
影响因子：
3.1
通讯作者：
Cook，Douglas D.
中科院分区：
文献类型：
--
作者：
Ottesen，Michael;Carter，Joseph;Cook，Douglas D.
玉米秸秆倒伏是玉米收获前秸秆的结构性破坏，是玉米(玉米)生产者和植物育种者面临的主要问题。为了解决这个问题，准确了解玉米秸秆的几何参数和材料参数对秸秆强度的影响是至关重要的。计算模型在这类研究中可能是一个强大的工具，但目前创建计算模型的方法昂贵、耗时，最重要的是，不提供对玉米秸秆参数的参数化控制。本研究的目的是开发和验证玉米秸秆的参数化三维模型。该参数化模型提供了对玉米秸秆几何形状和材料特性的所有方面的独立控制。该模型准确地捕捉了实际玉米秸秆的形状，并对玉米秸秆的硬度和强度进行了预测。该模型通过对材料属性的随机抽样进行验证，以考虑机械组织属性的值和影响的不确定性。结果表明，屈曲受材料性质的影响比弯曲刚度的影响更大。最后，我们证明了这个模型可以用来从参数空间中创建无限数量的合成茎。该模型将在未来实现参数扫描研究、灵敏度分析和优化研究，并可用于创建具有任何所需几何和材料属性组合的玉米秸秆的计算模型。
Maize stalk lodging is the structural failure of the stalk prior to harvest and is a major problem for maize (corn) producers and plant breeders. To address this problem, it is critical to understand precisely how geometric and material parameters of the maize stalk influence stalk strength. Computational models could be a powerful tool in such investigations, but current methods of creating computational models are costly, time-consuming and, most importantly, do not provide parameterized control of the maize stalk parameters. The purpose of this study was to develop and validate a parameterized 3D model of the maize stalk. The parameterized model provides independent control over all aspects of the maize stalk geometry and material properties. The model accurately captures the shape of actual maize stalks and is predictive of maize stalk stiffness and strength. The model was validated using stochastic sampling of material properties to account for uncertainty in the values and influence of mechanical tissue properties. Results indicated that buckling is influenced by material properties to a greater extent that flexural stiffness. Finally, we demonstrate that this model can be used to create an unlimited number of synthetic stalks from within the parameter space. This model will enable the future implementation of parameter sweep studies, sensitivity analysis and optimization studies, and can be used to create computational models of maize stalks with any desired combination of geometric and material properties.