万向接轴损伤的灰色识别与预测分析  

Analysis on Grey Identification and Forecast of Universal-shaft with Damages

作　　者：张松鹤[1] 包耳[2] 

机构地区：[1]大连民族学院土木建筑工程学院,辽宁大连116605 [2]大连民族学院机电信息工程学院,辽宁大连116605

出　　处：《大连民族学院学报》2011年第5期486-489,共4页Journal of Dalian Nationalities University

摘　　要：以反映结构损伤程度的固有频率作为损伤识别的特征参数,应用可以同时反映多种特征参数影响的灰色GM(1,n)模型对万向接轴的损伤问题进行了识别和预测分析。为提高预测精度和准确性,根据结构的固有频率随损伤程度的变化规律,采用了对原始数据进行归一化和二次累加处理的方法。通过识别实例表明,采用此方法对工程结构进行损伤特征识别分析能够取得较好的效果,为结构损伤识别和预测提供了新方法。Taking the inherent frequencies as characteristic parameters of damage identifications, the identification and forecast of universal - shaft with damage have been analysed with grey GM （1, n） model. The GM（ 1, n） model can reflect the influences of manifolds characteristic parameters. For increasing the forecast precisions and veracities, the methods of normalization and accumulativeness has been adopted in the originality data processing based on the changing rules of the inherent frequencies with damage degree. The results show that it obtains perfect results on damage identification in engineering structures by the method. The new method is provided for identification and forecast of damage in structures.

关 键 词：灰色GM(1 n)模型 万向接轴 固有频率 损伤识别 预测 

分 类 号：TU323.5[建筑科学—结构工程]