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Asset Intelligence through Integration and Interoperability and Contemporary Vibration Engineering Technologies pp 1–10Cite as

Predicting the Remaining Life of Timber Bridges

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

Abstract

This paper documents the current state of knowledge relating to the deterioration of timber bridges in Australia. The aim of this research, was to comprehend the present state of knowledge regarding maintenance of timber bridges and address any gap in knowledge. This involved: identifying key defects in timber, investigating the inspection methods utilised to detect these faults and finding the preventive measures used to mitigate bridge deterioration. Enclosed are figures which demonstrate how simple industry practices and procedures implemented by each states’ governing authority can reduce these impacts and concludes with an empirical model for predicting the remaining lifespan of a bridge.

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References

  1. Cohen J (2016) Review of timber bridge maintenance practices on Queensland state controlled road networks. Honours thesis, University of Southern Queensland

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  2. Main Roads (2014) Detailed visual bridge inspection guidelines for timber bridges, Western Australia

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  3. Ranjith S (2010) Tools for diagnosis and prediction of deterioration of timber bridges in Australia. Masters thesis, RMIT University

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  4. Ranjith S, Setunge S, Gravina R, Venkatesan S (2013) Deterioration prediction of timber bridge elements using the Markov Chain. J Perform Constructed Facil 27:319–325

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  5. Road Structures Inspection Manual (2014) VicRoads, Melbourne, Australia

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  6. Timber Bridge Inspection Manual (2015) Department of Transport and Main Roads, Queensland Government

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Acknowledgements

Authors would like to thank Mr. David Kempton and Mr. Ronald Hawken of VicRoads for their time and sharing their knowledge.

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Authors and Affiliations

  1. School of Civil, Environmental and Chemical Engineering, RMIT University, Melbourne, Australia

    T. Abbott, N. Gamage & S. Setunge

  2. School of Civil Engineering and Surveying, University of Southern Queensland, Darling Heights, Australia

    Weena Lokuge

Authors
  1. T. Abbott
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  2. N. Gamage
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  3. S. Setunge
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  4. Weena Lokuge
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Corresponding author

Correspondence to Weena Lokuge .

Editor information

Editors and Affiliations

  1. The Asset Institute, Queensland University of Technology, Brisbane, QLD, Australia

    Joseph Mathew

  2. Department of Architecture and Civil Engineering, City University of Hong Kong, Hong Kong SAR, China

    C.W. Lim

  3. School of Chemistry, Physics, Mechanical Engineering, Queensland University of Technology, Brisbane, QLD, Australia

    Lin Ma

  4. Synengco Pty Ltd, Highgate Hill, QLD, Australia

    Don Sands

  5. School of Chemistry, Physics, Mechanical Engineering, Queensland University of Technology, Brisbane, QLD, Australia

    Michael E. Cholette

  6. School of Mechanical and Manufacturing Engineering, UNSW Sydney, Sydney, NSW, Australia

    Pietro Borghesani

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© 2019 Springer Nature Switzerland AG

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Abbott, T., Gamage, N., Setunge, S., Lokuge, W. (2019). Predicting the Remaining Life of Timber Bridges. In: Mathew, J., Lim, C., Ma, L., Sands, D., Cholette, M., Borghesani, P. (eds) Asset Intelligence through Integration and Interoperability and Contemporary Vibration Engineering Technologies. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-95711-1_1

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  • DOI: https://doi.org/10.1007/978-3-319-95711-1_1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-95710-4

  • Online ISBN: 978-3-319-95711-1

  • eBook Packages: EngineeringEngineering (R0)

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