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Optimal Sensor Placement for Structural Parameter Estimation Using Genetic Algorithm  

Bahng, Eun-Young (동양대학교 철도토목학과)
Publication Information
Journal of the Korean Society of Hazard Mitigation / v.10, no.4, 2010 , pp. 9-16 More about this Journal
Abstract
In the health monitoring of civil engineering structures, the optimal sensor placement has a major influence on the quality of the results. This paper considers the problem of locating sensors with the aim of maximizing the data information so that structural parameters or damage of structures can be assessed. An proposed technique using a genetic algorithm is introduced to find the optimal placement of sensors. The sensitivity on modal vectors by structural parameters and the orthogonality of modal vectors have been taken as the fitness function of the genetic algorithm. A simple tower structure is used for example analyses to investigate the feasibility and applicability of the proposed approach. The example analyses show the way how the modal sensitivity and the modal orthogonality in the fitness function have influence on the optimal sensor placement. It is shown that the present method using the proposed fitness function can provide the reliable results.
Keywords
optimal sensor placement; genetic algorithm; fitness function; modal sensitivity; modal orthogonality;
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