A Modal-Based Kalman Filter Approach and OSP Method for Structural Response Reconstruction

The objective of the work is experimental validation and optimal experimental design for structural response reconstruction. A modal-based Kalman filter approach based on excitation identification Kalman filter is proposed for response reconstruction and excitation estimation of structures by using...

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Main Authors: Zhenrui Peng, Kangli Dong, Hong Yin
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Shock and Vibration
Online Access:http://dx.doi.org/10.1155/2019/5475686
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author Zhenrui Peng
Kangli Dong
Hong Yin
author_facet Zhenrui Peng
Kangli Dong
Hong Yin
author_sort Zhenrui Peng
collection DOAJ
description The objective of the work is experimental validation and optimal experimental design for structural response reconstruction. A modal-based Kalman filter approach based on excitation identification Kalman filter is proposed for response reconstruction and excitation estimation of structures by using noisy acceleration and strain measurements. Firstly, different filters are introduced and discussed. Secondly, to avoid single type sensors, a displacement reconstruction based on modal method is introduced into the proposed approach. Thirdly, the backward sequential algorithm is given to obtain the optimal sensor locations. It is shown that the proposed method can avoid the divergency in the estimated process of excitation and displacements as a result of incomplete measurements. Reasonable estimates of strains, displacements, velocities, accelerations, and excitations of structures can be accomplished with few acceleration sensors and strain gauges.
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institution Kabale University
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language English
publishDate 2019-01-01
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series Shock and Vibration
spelling doaj-art-4dcfe08aa6f946d6b146a42edcdcdb4c2025-02-03T06:08:09ZengWileyShock and Vibration1070-96221875-92032019-01-01201910.1155/2019/54756865475686A Modal-Based Kalman Filter Approach and OSP Method for Structural Response ReconstructionZhenrui Peng0Kangli Dong1Hong Yin2School of Mechatronic Engineering, Lanzhou Jiaotong University, Lanzhou 730070, ChinaSchool of Mechatronic Engineering, Lanzhou Jiaotong University, Lanzhou 730070, ChinaSchool of Mechatronic Engineering, Lanzhou Jiaotong University, Lanzhou 730070, ChinaThe objective of the work is experimental validation and optimal experimental design for structural response reconstruction. A modal-based Kalman filter approach based on excitation identification Kalman filter is proposed for response reconstruction and excitation estimation of structures by using noisy acceleration and strain measurements. Firstly, different filters are introduced and discussed. Secondly, to avoid single type sensors, a displacement reconstruction based on modal method is introduced into the proposed approach. Thirdly, the backward sequential algorithm is given to obtain the optimal sensor locations. It is shown that the proposed method can avoid the divergency in the estimated process of excitation and displacements as a result of incomplete measurements. Reasonable estimates of strains, displacements, velocities, accelerations, and excitations of structures can be accomplished with few acceleration sensors and strain gauges.http://dx.doi.org/10.1155/2019/5475686
spellingShingle Zhenrui Peng
Kangli Dong
Hong Yin
A Modal-Based Kalman Filter Approach and OSP Method for Structural Response Reconstruction
Shock and Vibration
title A Modal-Based Kalman Filter Approach and OSP Method for Structural Response Reconstruction
title_full A Modal-Based Kalman Filter Approach and OSP Method for Structural Response Reconstruction
title_fullStr A Modal-Based Kalman Filter Approach and OSP Method for Structural Response Reconstruction
title_full_unstemmed A Modal-Based Kalman Filter Approach and OSP Method for Structural Response Reconstruction
title_short A Modal-Based Kalman Filter Approach and OSP Method for Structural Response Reconstruction
title_sort modal based kalman filter approach and osp method for structural response reconstruction
url http://dx.doi.org/10.1155/2019/5475686
work_keys_str_mv AT zhenruipeng amodalbasedkalmanfilterapproachandospmethodforstructuralresponsereconstruction
AT kanglidong amodalbasedkalmanfilterapproachandospmethodforstructuralresponsereconstruction
AT hongyin amodalbasedkalmanfilterapproachandospmethodforstructuralresponsereconstruction
AT zhenruipeng modalbasedkalmanfilterapproachandospmethodforstructuralresponsereconstruction
AT kanglidong modalbasedkalmanfilterapproachandospmethodforstructuralresponsereconstruction
AT hongyin modalbasedkalmanfilterapproachandospmethodforstructuralresponsereconstruction