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Effect of leaves in the dynamic response of olive tree branches and their computational model

传递率(结构动力学) 复制 振动 加速度 树(集合论) 生物系统 过程(计算) 相似性(几何) 数学 计算机科学 统计 声学 人工智能 数学分析 物理 图像(数学) 操作系统 生物 经典力学 隔振
作者
Rafael R. Sola‐Guirado,Rafael Luque-Mohedano,Sergio Tombesi,Gregorio L. Blanco-Roldán
出处
期刊:Computers and Electronics in Agriculture [Elsevier BV]
卷期号:203: 107490-107490 被引量:6
标识
DOI:10.1016/j.compag.2022.107490
摘要

The application of vibration in the mechanical harvesting of fruit trees is a determining factor to achieve fruit detachment. The acceleration required to do so is experimentally determined in expensive tests using different machines and configurations. A simple, appropriate model that could predict the vibration response of plant matter might facilitate these simulations of different conditions and optimise the process. Several mathematical and computational models exist that employ great simplifications and produce uncertain results. We propose a computational model for simulating the dynamic response of branches with and without foliage under forced vibration, applied to the case of the olive tree. We also present a method for characterising the mechanical properties necessary to conduct the simulation using commercial software, Ansys, and the experimental determination of the properties. To do so, we propose some simplifications in the modelling. Next, computational simulations replicate the same conditions as the real vibration tests conducted in the laboratory, and the accelerations produced at the origin and ends of the branches are determined. The results offer a good degree of similarity between the calculated and experimental values in terms of natural frequencies, although some dispersion of transmissibility exits between the origin and ends of the branches, above all for larger branches and when considering their foliage. Branches without leaves had lower natural frequencies. The damping coefficient of branches with leaves was almost twice than ones without although the acceleration transmissibility is much bigger.

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