Optimisation of multi-type sensor placement for SHM based on application demands

Rohan Soman, Toula Onoufriou, Renos Votsis, Christis Chrysostomou, Marios Kyriakides

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The research presents a multi-objective optimisation problem for a multi-type sensor placement for Structural Health Monitoring (SHM) on a long span bridge. The problem is formulated for simultaneous placement of strain sensors and accelerometers (heterogeneous network) based on the application demands for SHM system. The primary demands for SHM are Modal Identification (MI) and Accurate Mode Shape Expansion (AMSE). The optimisation problem is solved through the use of Integer Genetic Algorithm (GA) to maximise a common metric to ensure adequate MI and AMSE. The performance of the joint optimisation problem solved by GA is compared with other established methods for homogenous sensor placement. The results indicate that the use of a multi-type sensor system improves the quality of SHM and the use of GA improves the overall quality of the sensor placement compared to other methods for optimisation of sensor placement.

Original languageEnglish
Title of host publicationLong Span Bridges and Roofs - Development, Design and Implementation
PublisherInternational Association for Bridge and Structural Engineering (IABSE)
ISBN (Electronic)9783857481284
Publication statusPublished - 2013
Event36th International Association for Bridge and Structural Engineering Symposium on Long Span Bridges and Roofs - Development, Design and Implementation - Kolkata, India
Duration: 24 Sept 201327 Sept 2013

Other

Other36th International Association for Bridge and Structural Engineering Symposium on Long Span Bridges and Roofs - Development, Design and Implementation
Country/TerritoryIndia
CityKolkata
Period24/09/1327/09/13

Keywords

  • GA
  • Long span bridge
  • Modal clarity index
  • Modal identification
  • Mode shape expansion
  • Sensor placement optimisation

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