Technical Papers
Jul 16, 2024

Fisher Information–Based Optimal Sensor Locations for Structural Identification of Nonclassically Damped Systems

Publication: Journal of Engineering Mechanics
Volume 150, Issue 10

Abstract

The investigation of optimal sensor location problems in the field of vibration-based structural identification is predominantly performed for classically damped systems. In this study, a methodology is introduced to obtain the optimal sensor locations for identifying the structural (modal as well as physical) parameters of a nonclassically damped system. The optimal sensor locations are obtained by maximizing the determinant of the estimated Fisher information matrix out of all possible sensor combinations, such that the measurements would have maximum information about the parameters of interest. To deal with the inherently complex characteristics of the eigenvalues and mode shapes of nonclassically damped structures, the formulation is carried out in the state-space framework. To illustrate the approach numerically, primary-secondary systems exhibiting nonclassical damping behavior have been used. The methodology is also validated with experimental data from shake-table tests conducted on a primary-secondary structure. It is shown that the uncertainty in the estimated parameters is minimum when the sensors are placed at the optimal locations.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

Financial support for this work has been provided by the Science and Engineering Research Board (SERB, DST, India) under Grant No. ECR/2017/003430. The financial support is gratefully acknowledged.

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Go to Journal of Engineering Mechanics
Journal of Engineering Mechanics
Volume 150Issue 10October 2024

History

Received: Dec 7, 2023
Accepted: Apr 23, 2024
Published online: Jul 16, 2024
Published in print: Oct 1, 2024
Discussion open until: Dec 16, 2024

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Ph.D. Candidate, Dept. of Civil Engineering, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh 208016, India (corresponding author). ORCID: https://orcid.org/0009-0003-8702-4610. Email: [email protected]
Suparno Mukhopadhyay, A.M.ASCE [email protected]
Assistant Professor, Dept. of Civil Engineering, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh 208016, India. Email: [email protected]

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