基于子结构模型剪切型框架结构损伤识别

发布时间：2018-01-21 04:13

本文关键词： 损伤识别子结构 ARMAX模型剪切型框架统计识别　出处：《振动.测试与诊断》2017年02期 　论文类型：期刊论文

【摘要】：提出了适用于剪切型框架结构的损伤定位和损伤定量识别方法。首先,用剪切型框架结构的运动方程和中心差分法确定子结构的划分方式;然后,根据子结构的输入输出关系和已知输入自回归移动平均(autoregressive moving-average with exogenous inputs,简称ARMAX)模型的对应关系,提出了利用子结构输入输出数据建立ARMAX模型的定阶方法;最后,利用子结构ARMAX模型系数向量的马氏距离来构造损伤识别指标,并选用受试者工作特征曲线下面积和Bhattacharyya距离进行损伤部位和损伤程度的识别。模拟算例和试验表明,提出方法能准确识别剪切型框架结构的损伤部位和损伤程度的相对大小,且具有较好的抗噪性能。
[Abstract]:A method of damage location and damage quantitative identification for shear frame structures is proposed. Firstly, the substructure partition method is determined by the motion equation and central difference method of shear frame structures. And... According to the substructure of the input-output relation and the known input-autoregressive moving average (. Autoregressive moving-average with exogenous inputs. Based on the corresponding relation of ARMAX model, this paper presents a method to establish ARMAX model by using substructure input and output data. Finally, the damage identification index is constructed by using the Markov distance of the coefficient vector of the substructure ARMAX model. The area under the operating characteristic curve and the Bhattacharyya distance were selected to identify the location and degree of injury. The proposed method can accurately identify the damage location and the relative magnitude of the damage degree of the shear frame structure, and has good anti-noise performance.
【作者单位】：重庆大学土木工程学院;重庆大学山地城镇建设与新技术教育部重点实验室;
【基金】：国家自然科学基金资助项目(51308565,51578095) 中央高校基金资助项目(CDJZR14205501)
【分类号】：TU317
【正文快照】： 引言建筑结构在风和地震等外力作用下可能发生损伤,结构的可靠性随之降低[1],因此,及时准确地识别结构的安全状态是防止结构倒塌等重大事故的有效途径。20世纪90年代以来,结合现代传感器、远程数据传输和损伤识别的健康监测技术逐步发展,并成为当前土木工程领域的一个重要研究

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