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Probabilistic procedure for design of untreated timber poles in-ground under attack of decay fungi

Author

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  • Wang, Chi-hsiang
  • Leicester, Robert H.
  • Nguyen, Minh

Abstract

Based on first-order probability theory, this paper presents a probabilistic procedure for design of timber poles in ground contact under attack of decay fungi. Fungal attack prediction model developed in a multi-disciplinary national project in Australia, sponsored by the Forestry and Wood Products Research and Development Corporation, is used in this study for decay progress modelling. A durability design factor, kD, is derived and proposed for consideration in practical design of timber construction. Examples for computation of kD for untreated timber poles installed at two sites in Australia are given.

Suggested Citation

  • Wang, Chi-hsiang & Leicester, Robert H. & Nguyen, Minh, 2008. "Probabilistic procedure for design of untreated timber poles in-ground under attack of decay fungi," Reliability Engineering and System Safety, Elsevier, vol. 93(3), pages 476-481.
    • Handle: RePEc:eee:reensy:v:93:y:2008:i:3:p:476-481
    DOI: 10.1016/j.ress.2006.12.007
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    Cited by:

    1. Salman, Abdullahi M. & Li, Yue & Stewart, Mark G., 2015. "Evaluating system reliability and targeted hardening strategies of power distribution systems subjected to hurricanes," Reliability Engineering and System Safety, Elsevier, vol. 144(C), pages 319-333.
    2. Nathan S. Debortoli & Tristan D. Pearce & James D. Ford, 2023. "Estimating Future Costs for Infrastructure in the Proposed Canadian Northern Corridor at Risk From Climate Change," SPP Research Papers, The School of Public Policy, University of Calgary, vol. 16(6), March.
    3. Salman, Abdullahi M. & Li, Yue & Bastidas-Arteaga, Emilio, 2017. "Maintenance optimization for power distribution systems subjected to hurricane hazard, timber decay and climate change," Reliability Engineering and System Safety, Elsevier, vol. 168(C), pages 136-149.
    4. Fant, Charles & Boehlert, Brent & Strzepek, Kenneth & Larsen, Peter & White, Alisa & Gulati, Sahil & Li, Yue & Martinich, Jeremy, 2020. "Climate change impacts and costs to U.S. electricity transmission and distribution infrastructure," Energy, Elsevier, vol. 195(C).
    5. Chi-hsiang Wang & Xiaoming Wang, 2012. "Vulnerability of timber in ground contact to fungal decay under climate change," Climatic Change, Springer, vol. 115(3), pages 777-794, December.
    6. Jin Tian & Yue Li, 2014. "System dynamics assessment of mitigation strategies for power distribution poles subjected to hurricanes," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 70(2), pages 1263-1285, January.
    7. Hughes, William & Zhang, Wei & Bagtzoglou, Amvrossios C. & Wanik, David & Pensado, Osvaldo & Yuan, Hao & Zhang, Jintao, 2021. "Damage modeling framework for resilience hardening strategy for overhead power distribution systems," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
    8. Lu, Qin & Zhang, Wei, 2022. "Integrating dynamic Bayesian network and physics-based modeling for risk analysis of a time-dependent power distribution system during hurricanes," Reliability Engineering and System Safety, Elsevier, vol. 220(C).
    9. Hughes, William & Zhang, Wei & Cerrai, Diego & Bagtzoglou, Amvrossios & Wanik, David & Anagnostou, Emmanouil, 2022. "A Hybrid Physics-Based and Data-Driven Model for Power Distribution System Infrastructure Hardening and Outage Simulation," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
    10. Ryan, Paraic C. & Stewart, Mark G. & Spencer, Nathan & Li, Yue, 2014. "Reliability assessment of power pole infrastructure incorporating deterioration and network maintenance," Reliability Engineering and System Safety, Elsevier, vol. 132(C), pages 261-273.

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