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组合预测在应力集中问题中的应用
引用本文:赵梅娟,王钟羡. 组合预测在应力集中问题中的应用[J]. 机械强度, 2006, 28(1): 96-98
作者姓名:赵梅娟  王钟羡
作者单位:江苏大学,理学院数学系,镇江,212013;江苏大学,理学院数学系,镇江,212013
基金项目:江苏省教育厅高校自然科学基金
摘    要:探讨加权组合预测方法在应力集中问题巾的应用,以带小孔的拉板为例,对采样点的数据分别建立GM(1,1)模型、趋势曲线预测模型和最优加权组合预测模型,并对各模型的误差进行比较。结果表明,组合预测模型的拟合和预测精度比单个模型要高。因此,用最优加权组合预测模型米推求应力集中区的最大应力,是工程测试数据处理的一种比较实用的新方法。

关 键 词:组合预测  GM(1,1)模型  趋势曲线模型  应力集中
收稿时间:2004-03-31
修稿时间:2004-03-312004-05-26

APPLICATION OF COMPOSITE PREDICTION TO THE PROBLEM OF STRESS CONCENTRATION
ZHAO MeiJuan,WANG ZhongXian. APPLICATION OF COMPOSITE PREDICTION TO THE PROBLEM OF STRESS CONCENTRATION[J]. Journal of Mechanical Strength, 2006, 28(1): 96-98
Authors:ZHAO MeiJuan  WANG ZhongXian
Affiliation:Department of Mathematics, Faculty of Science, Jiangsu University, Zhenjiang 212013, China
Abstract:The means of weighted composite prediction was applied to the problem of stress concentration. Based on the date of the sampling dots of infinite plank with an aperture,GM(1,1) model, tendency curve prediction model and optimum weighted composite prediction model was built separately,and compared their relative error and absolute error .The result indicate that the precision of composite prediction model is higher than any one model in terms of fit and prediction.Therefore, applying optimum weighted composite prediction model to predict the maximum stress is feasible, it provide a more practical new mean for engineering.
Keywords:Composite prediction  GM(1  1) model  Tendency curve prediction model  Stress concentration
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