A parameterised model of maize stem cross-sectional morphology
A parameterised model of maize stem cross-sectional morphology
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DOI：
10.1016/j.biosystemseng.2022.03.010
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发表时间：
2022-04-26
影响因子：
5.1
通讯作者：
Cook, Douglas D.
中科院分区：
文献类型：
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作者：
Ottesen, Michael A.;Larson, Ryan A.;Cook, Douglas D.
茎倒伏，即茎结构的损坏，是玉米生产中的一个严重问题。解决这个问题需要了解影响抗倒伏性的参数。计算建模是实现此目的的有力工具，但当前的建模方法通量有限，且无法提供修改单个几何特征的能力。玉米茎的参数化模型有可能克服这些限制。本研究的目的是：（a）开发一个玉米茎横截面的参数化模型，该模型能够准确模拟多种加载情况的物理响应；（b）使用该模型严格研究横截面形态与预测模型准确性之间的关系。主成分分析被用于揭示潜在的几何模式，这些模式被用作横截面模型中的参数。创建了一系列近似横截面，代表了不同水平的几何保真度。对真实横截面和近似横截面在轴向拉伸/压缩、弯曲、横向压缩和扭转情况下进行建模。对于每种加载情况，计算每个近似模型的预测准确性。还进行了一项敏感性研究，以量化单个参数的影响。最简单的模型，即仅由三个参数（长直径、短直径和外皮厚度）组成的椭圆形横截面，准确地预测了所有四种加载情况的结构刚度。本研究中使用的建模方法可用于将玉米横截面参数化到任何所需的几何保真度水平，并可应用于其他植物物种。（c）2022年英国农业工程师学会。由爱思唯尔有限公司出版。保留所有权利。
Stalk lodging, or failure of the stalk structure, is a serious problem in the production of maize (corn). Addressing this problem requires an understanding of the parameters that influence lodging resistance. Computational modelling is a powerful tool for this purpose, but current modelling methods have limited throughput and do not provide the ability to modify individual geometric features. A parameterised model of the maize stalk has the potential to overcome these limitations. The purposes of this study were to (a) develop a parameterised model of the maize stalk cross-section that could accurately simulate the physical response of multiple loading cases, and (b) use this model to rigorously investigate the relationships between cross-sectional morphology and predictive model accuracy. Principal component analysis was utilised to reveal underlying geometric patterns which were used as parameters in a cross-sectional model. A series of approximated cross-sections was created that represented various levels of geometric fidelity. The true and approximated cross-sections were modelled in axial tension/compression, bending, transverse compression, and torsion. For each loading case, the predictive accuracy of each approximated model was calculated. A sensitivity study was also performed to quantify the influence of individual parameters. The simplest model, an elliptical cross-section consisting of just three parameters: major diameter, minor diameter, and rind thickness, accurately predicted the structural stiffness of all four loading cases. The modelling approach used in this study model can be used to parameterise the maize cross-section to any desired level of geometric fidelity, and could be applied to other plant species. (c) 2022 IAgrE. Published by Elsevier Ltd. All rights reserved.