Skip to main content

Optimal Sensor Placement for Structures Under Parametric Uncertainty

  • Conference paper
  • First Online:
Topics in Dynamics of Bridges, Volume 3

Abstract

This paper examines the influence of parametric uncertainties on the optimal sensor placement methodologies for modal analysis of a truss bridge. Four classical sensor location methodologies are employed: two based on the Fisher information matrix and two based on energy matrix rank optimization. Young’s modulus, mass density and cross sectional dimensions are considered as uncertain parameters. The independent effects and cumulative effects of these uncertain variables on the sensor configuration are studied. The optimal locations of sensors under parametric uncertainty are assessed by the use of three different criteria. Furthermore, the robustness of this configuration is investigated for different levels of signal-to-noise ratio. The numerical results show the parametric uncertainties have significant influence on the optimal sensor configuration of a truss bridge.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Penny JET, Friswell MI, Garvey SD (1994) Automatic choice of measurement locations for dynamic testing. AIAA J 32:407–414

    Article  Google Scholar 

  2. Garvey SD, Friswell MI, Penny JET (1996) Evaluation of a method for automatic selection of measurement locations based on subspace-matching. In: Proceedings of XIV international modal analysis conference (IMAC), Hyatt Regency Dearborn Hotel, Dearborn, pp 1546–1552

    Google Scholar 

  3. Li DS, Li HN (2006) The state of the art of sensor placement methods in structural health monitoring. In: Tomizuka M, Yun CB, Giurgiutiu V (eds). In:Proceedings of the SPiE, Smart structures and materials 2006: sensors and smart structures technologies for civil, mechanical, and aerospace systems, vol 6174, pp 1217–1227

    Google Scholar 

  4. Kammer DC (1991) Sensor placement for on-orbit modal identification and correlation of large space structures. J Guid Contr Dyn 14:251–259

    Article  Google Scholar 

  5. Kammer DC, Peck JA (2008) Mass-weighting methods for sensor placement using sensor set expansion techniques. Mech Syst Signal Process 22:1515–1525

    Article  Google Scholar 

  6. Hemez FM, Farhat C (1994) An energy based optimum sensor placement criterion and its application to structural damage detection. In: Proceedings of XII international modal analysis conference (IMAC), Ilikai Hotel, Honolulu, pp 1568–1575

    Google Scholar 

  7. Heo G, Wang ML, Satpathi D (1997) Optimal transducer placement for health monitoring of long span bridge. Soil Dyn Earthq Eng 16:495–502

    Article  Google Scholar 

  8. Schueller GI (2007) On the treatment of uncertainties in structural mechanics and analysis. Comput Struct 85:235–243

    Article  Google Scholar 

  9. Choi SK, Grandhi RV, Canfield RA (2006) Reliability-based structural design. Springer, London

    Google Scholar 

  10. Doebling SW, Hemez FM (2001) Overview of uncertainty assessment for structural health monitoring. In: Proceedings of the 3rd international workshop on structural health monitoring, Stanford University, Stanford

    Google Scholar 

  11. Murugan S, Ganguli R, Harursampath D (2008) Aeroelastic response of composite helicopter rotor with random material properties. J Aircr 45:306–322

    Article  Google Scholar 

  12. Murugan S, Harursampath D, Ganguli R (2008) Material uncertainty propagation in helicopter nonlinear aeroelastic response and vibration analysis. AIAA J 46:2332–2344

    Article  Google Scholar 

  13. Murugan S, Chowdhury R, Adhikari S, Friswell MI (2011) Helicopter aeroelastic analysis with spatially uncertain rotor blade properties. Aero Sci Tech 16:29–39

    Article  Google Scholar 

  14. Austrell PE (2004) CALFEM: A Finite Element Toolbox : Version 3.4. Lund University (Sweden)

    Google Scholar 

  15. Guratzsch RF, Mahadevan S (2010) Structural health monitoring sensor placement optimization under uncertainty. AIAA J 48:1281–1289

    Article  Google Scholar 

Download references

Acknowledgements

We express special thanks to the Spanish Ministry of Education, Culture and Sport for Grant Number FPU-AP2009-3475 and to the Junta de AndalucĂ­a for the Research Project P09-TEP-5066.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Rafael Castro-Triguero .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 The Society for Experimental Mechanics, Inc.

About this paper

Cite this paper

Castro-Triguero, R., Murugan, S., Friswell, M.I., Gallego, R. (2013). Optimal Sensor Placement for Structures Under Parametric Uncertainty. In: Cunha, A. (eds) Topics in Dynamics of Bridges, Volume 3. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6519-5_14

Download citation

  • DOI: https://doi.org/10.1007/978-1-4614-6519-5_14

  • Published:

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-6518-8

  • Online ISBN: 978-1-4614-6519-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics