Damping Identification with Acceleration Measurements Based on Sensitivity Enhancement Method

The damping is important for forward and inverse structural dynamic analysis, and damping identification has become a hot issue in structural health monitoring recently. The dynamic responses of the structure can be measured in practice, and the structural parameter usually can be identified by inve...

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Main Authors: Xusheng Wang, Kun Liu, Hongbo Liu, Yuhan He
Format: Article
Language:English
Published: Wiley 2018-01-01
Series:Shock and Vibration
Online Access:http://dx.doi.org/10.1155/2018/6476783
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author Xusheng Wang
Kun Liu
Hongbo Liu
Yuhan He
author_facet Xusheng Wang
Kun Liu
Hongbo Liu
Yuhan He
author_sort Xusheng Wang
collection DOAJ
description The damping is important for forward and inverse structural dynamic analysis, and damping identification has become a hot issue in structural health monitoring recently. The dynamic responses of the structure can be measured in practice, and the structural parameter usually can be identified by inverse response sensitivity analysis. To reduce the measurement noise effect and enhance the effectiveness of the response sensitivity method, an enhanced sensitivity analysis method was proposed to identify the structural damping based on the Principal Component Analysis (PCA) method. The measured acceleration responses were analyzed by PCA method, and the updated analytical responses and the response sensitivities were projected into the subspace determined by the first-order principal component. The projection equations were adopted to identify the parameters of damping model. The proposed damping identification method was numerically validated with a planar truss structure at first, and then the experimental study was conducted with a steel planar frame structure. It shows that the proposed method is effective in identifying the parameters of damping model with better accuracy compared with the conventional acceleration response sensitivity method, and it is also robust to the sensor placement and measurement noise.
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issn 1070-9622
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language English
publishDate 2018-01-01
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series Shock and Vibration
spelling doaj-art-d6f992652d2b4be99092936b73b0f4362025-08-20T03:23:51ZengWileyShock and Vibration1070-96221875-92032018-01-01201810.1155/2018/64767836476783Damping Identification with Acceleration Measurements Based on Sensitivity Enhancement MethodXusheng Wang0Kun Liu1Hongbo Liu2Yuhan He3Key Lab of Structures Dynamics Behavior and Control of the Ministry of Education, Harbin Institute of Technology, Harbin 150090, ChinaKey Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology, Harbin Institute of Technology, Harbin 150090, ChinaSchool of Civil Engineering and Architecture, Heilongjiang University, Harbin 150080, ChinaSchool of Civil Engineering and Architecture, University of Jinan, Jinan 250022, ChinaThe damping is important for forward and inverse structural dynamic analysis, and damping identification has become a hot issue in structural health monitoring recently. The dynamic responses of the structure can be measured in practice, and the structural parameter usually can be identified by inverse response sensitivity analysis. To reduce the measurement noise effect and enhance the effectiveness of the response sensitivity method, an enhanced sensitivity analysis method was proposed to identify the structural damping based on the Principal Component Analysis (PCA) method. The measured acceleration responses were analyzed by PCA method, and the updated analytical responses and the response sensitivities were projected into the subspace determined by the first-order principal component. The projection equations were adopted to identify the parameters of damping model. The proposed damping identification method was numerically validated with a planar truss structure at first, and then the experimental study was conducted with a steel planar frame structure. It shows that the proposed method is effective in identifying the parameters of damping model with better accuracy compared with the conventional acceleration response sensitivity method, and it is also robust to the sensor placement and measurement noise.http://dx.doi.org/10.1155/2018/6476783
spellingShingle Xusheng Wang
Kun Liu
Hongbo Liu
Yuhan He
Damping Identification with Acceleration Measurements Based on Sensitivity Enhancement Method
Shock and Vibration
title Damping Identification with Acceleration Measurements Based on Sensitivity Enhancement Method
title_full Damping Identification with Acceleration Measurements Based on Sensitivity Enhancement Method
title_fullStr Damping Identification with Acceleration Measurements Based on Sensitivity Enhancement Method
title_full_unstemmed Damping Identification with Acceleration Measurements Based on Sensitivity Enhancement Method
title_short Damping Identification with Acceleration Measurements Based on Sensitivity Enhancement Method
title_sort damping identification with acceleration measurements based on sensitivity enhancement method
url http://dx.doi.org/10.1155/2018/6476783
work_keys_str_mv AT xushengwang dampingidentificationwithaccelerationmeasurementsbasedonsensitivityenhancementmethod
AT kunliu dampingidentificationwithaccelerationmeasurementsbasedonsensitivityenhancementmethod
AT hongboliu dampingidentificationwithaccelerationmeasurementsbasedonsensitivityenhancementmethod
AT yuhanhe dampingidentificationwithaccelerationmeasurementsbasedonsensitivityenhancementmethod