Optimal sensor location methodology for structural identification and damage detection
Optimal sensor location methodology for structural identification and damage detection
Theoretical and computational issues arising in the selection of the optimal sensor configuration in structural dynamics are addressed. The information entropy is introduced to measure the performance of a sensor configuration. Asymptotic estimates are used to rigorously justify that selections of optimal sensor configurations can be based solely on nominal structural models, ignoring the time history details of the measured data that are not available in the initial experimental design stage. Heuristic algorithms are proposed for constructing effective sensor configurations that are superior, in terms of computational efficiency and accuracy, to the sensor configurations provided by available algorithms suitable for solving general optimisation problems. The theoretical developments and the effectiveness of the proposed algorithms are illustrated by designing the optimal configuration for an array of acceleration sensors placed on a bridge structure.
1160-1167
DEStech Publications Inc.
Ntotsios, E.
877c3350-0497-4471-aa97-c101df72e05e
Christodoulou, K.
6c678f2d-2c28-4077-b127-61c5cbcdb91b
Papadimitriou, C.
3be78708-ed90-4a1f-b18e-5fe4ec2c8de6
1 December 2006
Ntotsios, E.
877c3350-0497-4471-aa97-c101df72e05e
Christodoulou, K.
6c678f2d-2c28-4077-b127-61c5cbcdb91b
Papadimitriou, C.
3be78708-ed90-4a1f-b18e-5fe4ec2c8de6
Ntotsios, E., Christodoulou, K. and Papadimitriou, C.
(2006)
Optimal sensor location methodology for structural identification and damage detection.
Guemes, Alfredo
(ed.)
In Proceedings of the 3rd European Workshop - Structural Health Monitoring 2006.
DEStech Publications Inc.
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
Theoretical and computational issues arising in the selection of the optimal sensor configuration in structural dynamics are addressed. The information entropy is introduced to measure the performance of a sensor configuration. Asymptotic estimates are used to rigorously justify that selections of optimal sensor configurations can be based solely on nominal structural models, ignoring the time history details of the measured data that are not available in the initial experimental design stage. Heuristic algorithms are proposed for constructing effective sensor configurations that are superior, in terms of computational efficiency and accuracy, to the sensor configurations provided by available algorithms suitable for solving general optimisation problems. The theoretical developments and the effectiveness of the proposed algorithms are illustrated by designing the optimal configuration for an array of acceleration sensors placed on a bridge structure.
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Published date: 1 December 2006
Venue - Dates:
3rd European Workshop on Structural Health Monitoring 2006, , Granada, Spain, 2006-07-05 - 2006-07-07
Identifiers
Local EPrints ID: 430368
URI: http://eprints.soton.ac.uk/id/eprint/430368
PURE UUID: dd0c642d-1ccd-4a21-b4ce-c7363e103e8f
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Date deposited: 26 Apr 2019 16:30
Last modified: 20 Dec 2023 02:45
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Contributors
Author:
K. Christodoulou
Author:
C. Papadimitriou
Editor:
Alfredo Guemes
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