Skip to main content
SpringerLink
Log in

Structural Complexity in Structural Health Monitoring: Design of Laboratory Model and Test Plan

  • Conference paper
  • First Online:
Proceedings of the 7th World Congress on Engineering Asset Management (WCEAM 2012)

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

Abstract

Many researchers in the field of civil structural health monitoring (SHM) have developed and tested their methods on simple to moderately complex laboratory structures such as beams, plates, frames, and trusses. Fieldwork has also been conducted by many researchers and practitioners on more complex operating bridges. Most laboratory structures do not adequately replicate the complexity of truss bridges. Informed by a brief review of the literature, this paper documents the design and proposed test plan of a structurally complex laboratory bridge model that has been specifically designed for the purpose of SHM research. Preliminary results have been presented in the companion paper.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 199.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Moon FL, Aktan AE (2006) Impacts of epistemic (bias) uncertainty on structural identification of constructed (civil) systems. Shock Vib Digest 38(5):399–420

    Article  Google Scholar 

  2. Ciloglu SK (2006) The impact of uncertainty in operational modal analysis for structural identification of constructed systems. Dissertation, Drexel University

    Google Scholar 

  3. Aktan AE, Ciloglu SK, Grimmelsman KA et al (2005) Opportunities and challenges in health monitoring of constructed systems by modal analysis. In: Proceedings of the international conference on experimental vibration analysis for civil engineering structures, Bordeaux, France, 26–28 Oct 2005

    Google Scholar 

  4. Tee KF, Koh CG, Quek ST (2009) Numerical and experimental studies of a substructural identification strategy. Struct Health Monit 8(5):397–410

    Article  Google Scholar 

  5. Catbas FN (2004) Meeting of the bridge health monitoring committee of international association of bridge maintenance and safety. Meeting Minutes, Kyoto, Japan, 21 Oct 2004

    Google Scholar 

  6. Cowled CJL, Thambiratnam DP, Chan THT, Tan ACC (2012) Structural complexity in structural health monitoring: preliminary experimental modal testing and analysis. Paper presented at the 7th world congress on engineering asset management, Daejeon, Korea, 8–10 Oct 2012

    Google Scholar 

  7. Yan W-J, Huang T-L, Ren W-X (2010) Damage detection method based on element modal strain energy sensitivity. Adv Struct Eng 13(6):1075–1088

    Article  Google Scholar 

  8. Mehrjoo M, Khaji N, Moharrami H, Bahreininejad A (2008) Damage detection of truss bridge joints using artificial neural networks. Expert Syst Appl 35(3):1122–1131

    Article  Google Scholar 

  9. Yan G, Duan Z, Ou J, De Stefano A (2010) Structural damage detection using residual forces based on wavelet transform. Mech Syst Signal Process 24(1):224–239

    Article  Google Scholar 

  10. Rama Mohan Rao A, Lakshmi K, Venkatachalam D (2012) Damage diagnostic technique for structural health monitoring using POD and self adaptive differential evolution algorithm. Comput Struct 106–107:228–244

    Article  Google Scholar 

  11. Samali B, Li J, Choi FC, Crews K (2010) Application of the damage index method for plate-like structures to timber bridges. Struct Control Health Monit 17(8):849–871

    Article  Google Scholar 

  12. Papatheou E, Manson G, Barthorpe RJ, Worden K (2010) The use of pseudo-faults for novelty detection in SHM. J Sound Vib 329(12):2349–2366

    Article  Google Scholar 

  13. Quek ST, Tran VA, Hou XY, Duan WH (2009) Structural damage detection using enhanced damage locating vector method with limited wireless sensors. J Sound Vib 328(4–5):411–427

    Article  Google Scholar 

  14. Weber B, Paultre P (2010) Damage identification in a truss tower by regularized model updating. J Struct Eng-ASCE 136(3):307–316

    Article  Google Scholar 

  15. Gao Y, Spencer BF Jr, Bernal D (2004) Experimental verification of the damage locating vector method. In: Chang F-K, Yum CB, Spencer BF Jr (eds) Proceedings of the first international workshop on advanced smart materials and smart structures technology, Honolulu, Hawaii

    Google Scholar 

  16. Meruane V, Heylen W (2012) Structural damage assessment with antiresonances versus mode shapes using parallel genetic algorithms. Struct Control Health Monit 11(3):345–357

    Article  Google Scholar 

  17. Dackermann U, Li J, Samali B (2010) Dynamic-based damage identification using neural network ensembles and damage index method. Adv Struct Eng 13(6):1001–1016

    Article  Google Scholar 

  18. Catbas FN, Caicedo JM, Dyke SJ (2006) Development of a benchmark problem for bridge health monitoring. In: da Sousa Cruz PJ, Frangopol DM, Canhoto Neves LC (eds) Advances in bridge maintenance, safety management, and life-cycle performance: proceedings of the third international conference on bridge maintenance, safety and management, Porto, Portugal, 16–19 July 2006

    Google Scholar 

  19. Johnson EA, Lam HF, Katafygiotis LS, Beck JL (2004) Phase I IASC-ASCE structural health monitoring benchmark problem using simulated data. J Eng Mech-ASCE 130(1):3–15

    Article  Google Scholar 

  20. Caicedo JM (2003) Structural health monitoring of flexible civil structures. Dissertation, Washington University

    Google Scholar 

  21. Thambiratnam D (1995) Vibration analysis of Storey Bridge. Aust Civ Eng 37(2):91–97

    Google Scholar 

  22. James G, Mayes R, Carne T et al (1995) Health monitoring of operational structures: initial results. In: Proceedings of the 36th AIAA/ASME/ASCE/AHS/ASC structures, structural dynamics and materials conference, New Orleans, Louisiana, 10–12 Apr 1995

    Google Scholar 

  23. Krämer C, De Smet CAM, De Roeck G (1999) Z24 bridge damage detection tests. In: Proceedings of the 17th international modal analysis conference, vol 3727, Kissimmee, Florida, Feb 1999. SPIE, pp 1023–1029

    Google Scholar 

  24. Maeck J, De Roeck G (2003) Description of Z24 benchmark. Mech Syst Signal Process 17(1):127–131

    Article  Google Scholar 

  25. Heywood R, Roberts W, Taylor R, Andersen R (2000) Fitness-for-purpose evaluation of bridges using health monitoring technology. Transport Res Rec 1696:193–201

    Article  Google Scholar 

  26. Senthilvasan J, Thambiratnam DP, Brameld GH (2002) Dynamic response of a curved bridge under moving truck load. Eng Struct 24(10):1283–1293

    Article  Google Scholar 

  27. Catbas FN, Grimmelsman KA, Aktan AE (2000) Structural identification of the Commodore Barry Bridge. In: Aktan AE, Gosselin SR (eds) Proceedings of SPIE: nondestructive evaluation of highways, utilities and pipelines IV, vol 3995, Newport Beach, California, Mar 2000. SPIE, pp 84–97

    Google Scholar 

  28. Agrawal A, Tan P, Nagarajaiah S, Zhang J (2009) Benchmark structural control problem for a seismically excited highway bridge—part I: phase I problem definition. Struct Control Health Monit 16(5):509–529

    Article  Google Scholar 

  29. Chan THT, Wong KY, Li ZX, Ni Y-Q (2011) Structural health monitoring for long span bridges: Hong Kong experience and continuing onto Australia. In: Chan THT, Thambiratnam DP (eds) Structural health monitoring in Australia. Nova Publishers, Hauppage, New York, pp 1–32

    Google Scholar 

  30. Wang L, Chan THT, Thambiratnam DP et al (2012) Correlation-based damage detection for complicated truss bridges using multi-layer genetic algorithm. Adv Struct Eng 15(5):693–706

    Article  Google Scholar 

  31. Wang L (2012) Innovative damage assessment of steel truss bridges using modal strain energy correlation. Dissertation, Queensland University of Technology

    Google Scholar 

  32. Standards Association Australia (1998) AS4100-1998: steel structures. Standards Association Australia, Sydney

    Google Scholar 

  33. Shih HW, Thambiratnam DP, Chan THT (2009) Vibration based structural damage detection in flexural members using multi-criteria approach. J Sound Vib 323(3–5):645–661

    Article  Google Scholar 

Download references

Acknowledgments

This paper was developed within the CRC for Infrastructure and Engineering Asset Management, established, and supported under the Australian Government’s Cooperative Research Centres Programme. The primary author is a postgraduate student, studying at Queensland University of Technology, Brisbane. The primary author wishes to acknowledge the Australian Research Council for providing a living allowance scholarship, and the Cooperative Research Centre for Integrated Engineering Asset Management, Queensland Department of Transport and Main Roads and Brisbane City Council for providing top-up scholarships. Taringa Steel Pty. Ltd. is also acknowledged for their high-quality craftsmanship in the fabrication of the bridge model.

Author information

Authors and Affiliations

  1. Queensland University of Technology, 2 George Street, Brisbane, QLD, 4001, Australia

    Craig J. L. Cowled, David P. Thambiratnam, Tommy H. T. Chan & Andy C. C. Tan

Authors
  1. Craig J. L. Cowled
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. David P. Thambiratnam
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Tommy H. T. Chan
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Andy C. C. Tan
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Craig J. L. Cowled .

Editor information

Editors and Affiliations

  1. World Congress on Engineering Asset Management, Seoul, Korea, Republic of (South Korea)

    Woo Bang Lee

  2. World Congress on Engineering Asset Management, Gyeongnam, Korea, Republic of (South Korea)

    Byeongkuen Choi

  3. Queensland University of Technology, Graceville, Queensland, Australia

    Lin Ma

  4. Queensland University of Technology, Sunnybank Hills, Queensland, Australia

    Joseph Mathew

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Cowled, C.J.L., Thambiratnam, D.P., Chan, T.H.T., Tan, A.C.C. (2015). Structural Complexity in Structural Health Monitoring: Design of Laboratory Model and Test Plan. In: Lee, W., Choi, B., Ma, L., Mathew, J. (eds) Proceedings of the 7th World Congress on Engineering Asset Management (WCEAM 2012). Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-06966-1_17

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-06966-1_17

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02461-5

  • Online ISBN: 978-3-319-06966-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation