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基于图像分析法的水稻茎秆力学性能测量与分析
引用本文:刘逸平,林侠,何庭蕙,孔长青,李国辉,汤立群,田卡,钟旭华,黄农荣.基于图像分析法的水稻茎秆力学性能测量与分析[J].实验力学,2012,27(4):421-427.
作者姓名:刘逸平  林侠  何庭蕙  孔长青  李国辉  汤立群  田卡  钟旭华  黄农荣
作者单位:1. 华南理工大学土木与交通学院亚热带建筑科学国家重点实验室,广州,510641
2. 广东省农业科学院水稻研究所,广州,510640
基金项目:国家自然科学基金资助项目(30971738, 50908089);中央高校基本科研业务费资助项目(2009ZM0117);亚热带建筑科学国家重点实验室开放基金 (2012ZC24)
摘    要:水稻茎秆力学性能的准确描述是水稻抗倒伏力学分析的关键。由于茎秆是由生物活性材料组成的形状不规则柔性结构,传统的测试方法难以对其力学性能进行准确测量。以南方水稻为研究对象,采用拉伸试验机对水稻茎秆进行了拉伸试验。首先采用传统的应变片方法测量应变,继而探索采用图像分析法实现非接触、高精度地测量水稻茎秆的截面尺寸、拉伸变形。用数字摄像机记录不同荷载水平下试件表面的数字图像,采用数字图像相关分析法(DIC)进行分析,通过两种方法计算茎秆的轴向应变;将完成拉伸实验的试件切片,采集其横截面的数字图像,通过数字图像分析技术得到其几何特性,并对大量实验数据进行了统计分析,实现了对水稻茎秆弹性模量、抗弯刚度等的合理描述。实验结果表明,采用传统的应变片测量求得的水稻茎秆的弹性模量的离散性极大,超出样本差异性的范围,而采用数字图像分析方法得到的弹性模量、抗弯刚度的结果有一定的离散性,但分布比较合理,比较准确地反映了水稻茎秆相关的力学性能。

关 键 词:图像分析法  水稻茎秆  力学性能  统计分析

Mechanical Properties Measurement and Statistical Analysis of Paddy Stem Based on Image Analysis Method
LIU Yi-ping , LIN Xia , HE Ting-hui , KONG Chang-qing , LI Guo-hui , TANG Li-qun , TIAN Ka , ZHONG Xu-hua , HUANG Nong-rong.Mechanical Properties Measurement and Statistical Analysis of Paddy Stem Based on Image Analysis Method[J].Journal of Experimental Mechanics,2012,27(4):421-427.
Authors:LIU Yi-ping  LIN Xia  HE Ting-hui  KONG Chang-qing  LI Guo-hui  TANG Li-qun  TIAN Ka  ZHONG Xu-hua  HUANG Nong-rong
Institution:School of Civil Engineering and Transportation, State Key Laboratory of Subtropical Building Science, South China University of Technology, Guangzhou 510641, China;School of Civil Engineering and Transportation, State Key Laboratory of Subtropical Building Science, South China University of Technology, Guangzhou 510641, China;School of Civil Engineering and Transportation, State Key Laboratory of Subtropical Building Science, South China University of Technology, Guangzhou 510641, China;School of Civil Engineering and Transportation, State Key Laboratory of Subtropical Building Science, South China University of Technology, Guangzhou 510641, China;Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China;School of Civil Engineering and Transportation, State Key Laboratory of Subtropical Building Science, South China University of Technology, Guangzhou 510641, China;Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China;Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China;Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China
Abstract:
Keywords:image analysis method  paddy stem  mechanical properties  statistical analysis
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