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基于附加虚拟质量法的框架结构半刚性节点损伤识别

Damage Identification of Semi-Rigid Joints in Frame Structures Based on Additional Virtual Mass Method.

作者信息

An Xinhao, Zhang Qingxia, Li Chao, Hou Jilin, Shi Yongkang

机构信息

School of Civil Engineering, Dalian University of Technology, Dalian 116023, China.

School of Civil Engineering, Dalian Minzu University, Dalian 116650, China.

出版信息

Sensors (Basel). 2022 Aug 29;22(17):6495. doi: 10.3390/s22176495.

Abstract

In civil engineering, the joints of structures are complex, and their damage is generally hard to be detected. Due to the insensitivity of structural modal information to local joint damage, this paper presents a method based on additional virtual mass for damage identification of a semi-rigid joint in a frame structure. Firstly, the modeling of a semi-rigid is described. Secondly, the frequency response of the virtual structure is constructed, and the natural frequency of the constructed virtual structure is extracted by the ERA method. By adding multiple values of virtual masses at different positions, the natural frequency information sensitive to joint damage for damage identification is effectively increased. Based on the above theory, qualitative identification of joint damage is proposed to detect the potential damage, and identification of both damage location and its extent is presented, using natural frequency. Improved Orthogonal Matching Pursuit (IOMP) algorithm is employed to improve the accuracy of the natural frequency-based method for damage identification. At last, numerical simulation of a three-story frame is performed to discuss and to verify the effectiveness of the proposed method.

摘要

在土木工程中,结构的节点较为复杂,其损伤通常难以检测。由于结构模态信息对局部节点损伤不敏感,本文提出一种基于附加虚拟质量的框架结构半刚性节点损伤识别方法。首先,描述了半刚性节点的建模。其次,构建虚拟结构的频率响应,并采用特征系统实现算法(ERA)提取所构建虚拟结构的固有频率。通过在不同位置添加多个虚拟质量值,有效增加了对节点损伤敏感的固有频率信息用于损伤识别。基于上述理论,提出了用于检测潜在损伤的节点损伤定性识别方法,并利用固有频率实现损伤位置及其程度的识别。采用改进的正交匹配追踪(IOMP)算法提高基于固有频率的损伤识别方法的精度。最后,对一个三层框架进行数值模拟,以探讨和验证所提方法的有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9db4/9460711/807f65f5eb04/sensors-22-06495-g001.jpg

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