摘要
为了研究以模态曲率差归一化为基础的简支梁损伤识别,对振型曲率差进行归一化,理论推导基于模态曲率差归一化构建的指标与损伤识别的关系,再将归一化的结果进行数据融合,得到新的损伤判别因子,并对简支梁进行损伤识别分析.提取模态曲率差最大值构造损伤评估曲线,并利用其进行结构剩余寿命预测.采用简支钢梁为数值算例,考虑在单个损伤和多个损伤下7种不同程度的损伤工况,分别利用指标DF^(j)与新指标DDF进行识别损伤.采用简支钢梁试验证明了DDF指标识别具有良好的鲁棒性和精确性.
In order to study the damage identification of simply supported beam based on the normalization of modal curvature difference,the damage identification of simply supported beams was studied by normalizing the difference of modal curvature.The modal curvature difference was normalized,and the relationship between indexes and damage identification was theoretically deduced based on the normalization of modal curvature difference.Then a completely new damage detection factor(DDF)was obtained by fusing the normalized results to identify the damage of simply supported beams.The damage evaluation curves were constructed by extracting the maximum modal curvature difference,and were used to predict the remaining life of structures.Taking the simply supported steel beam as a numerical example and considering seven damage conditions under single damage and multiple damages,the index DF^(j) and the new index DDF were used to identify the damage,respectively.Furthermore,tests of simply supported steel beam show that the identification of DDF index has excellent robustness and accuracy.
作者
狄生奎
李永广
项长生
王立宪
DI Sheng-kui;LI Yong-guang;XIANG Chang-sheng;WANG Li-xian(Key Laboratory of Disaster Prevention and Mitigation in Civil Engineering of Gansu Province,Lanzhou University of Technology,Lanzhou 730050,China;Western Engineering Research Center of Disaster Mitigation in Civil Engineering of Ministry of Education,Lanzhou University of Technology,Lanzhou 730050,China)
出处
《沈阳工业大学学报》
CAS
北大核心
2022年第4期451-460,共10页
Journal of Shenyang University of Technology
基金
国家自然科学基金项目(51868045)
安徽省高校省级自然科学研究重点项目(KJ2019A0746)
安徽建筑大学博士启动基金项目(2019QDZ08).
关键词
简支梁
模型试验
损伤识别
损伤评估曲线
数据融合
寿命预测
归一化
鲁棒性
simply supported beam
model test
damage identification
damage evaluation curve
data fusion
life prediction
normalization
robustness
