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Ahmad, S, Soetanto, R and Goodier, C (2019) Lean approach in precast concrete component production. Built Environment Project and Asset Management, 9(03), 457–70.

Aliakbarlou, S, Wilkinson, S and Costello, S B (2017) Exploring construction client values and qualities: Are these two distinct concepts in construction studies?. Built Environment Project and Asset Management, 7(03), 234-52.

Almén, L and Larsson, T J (2014) Health and safety coordinators in building projects. Built Environment Project and Asset Management, 4(03), 251-63.

Almusharraf, A and Whyte, A (2016) Task-based defect management: Anatomical classification. Built Environment Project and Asset Management, 6(03), 345-58.

Alwan, Z and Gledson, B J (2015) Towards green building performance evaluation using asset information modelling. Built Environment Project and Asset Management, 5(03), 290-303.

Atkins, R and Emmanuel, R (2014) Could refurbishment of “traditional” buildings reduce carbon emissions?. Built Environment Project and Asset Management, 4(03), 221-37.

Awuzie, B and McDermott, P (2016) A systems approach to assessing organisational viability in project-based organisations. Built Environment Project and Asset Management, 6(03), 268-83.

Böhme, T, Escribano, A, Heffernan, E E and Beazley, S (2018) Causes and mitigation for declining productivity in the Australian mid-rise residential construction sector. Built Environment Project and Asset Management, 8(03), 253–66.

Bosch, A, Volker, L and Koutamanis, A (2015) BIM in the operations stage: Bottlenecks and implications for owners. Built Environment Project and Asset Management, 5(03), 331-43.

De Silva, N, Weerasinghe, R P N P, Madhusanka, H W N and Kumaraswamy, M (2017) Relationally integrated value networks for total facilities management. Built Environment Project and Asset Management, 7(03), 313-29.

Fahmy, A, Hassan, T, Bassioni, H and McCaffer, R (2019) Dynamic scheduling model for the construction industry. Built Environment Project and Asset Management, 10(03), 313–30.

Geekiyanage, D and Ramachandra, T (2020) Nexus between running costs and building characteristics of commercial buildings: hedonic regression modelling. Built Environment Project and Asset Management, 10(03), 389–406.

Hamzeh, F, Rached, F, Hraoui, Y, Karam, A J, Malaeb, Z, El Asmar, M and Abbas, Y (2019) Integrated project delivery as an enabler for collaboration: a Middle East perspective. Built Environment Project and Asset Management, 9(03), 334–47.

Hasan, A, Elmualim, A, Rameezdeen, R, Baroudi, B and Marshall, A (2018) An exploratory study on the impact of mobile ICT on productivity in construction projects. Built Environment Project and Asset Management, 8(03), 320–32.

Holt, G D and Edwards, D J (2014) Machinery transportation management: case study of “plant-trailer” H&S incidents. Built Environment Project and Asset Management, 4(03), 264-80.

Ismail, S and Haris, F A (2014) Constraints in implementing Public Private Partnership (PPP) in Malaysia. Built Environment Project and Asset Management, 4(03), 238-50.

Javed, A A, Pan, W, Chen, L and Zhan, W (2018) A systemic exploration of drivers for and constraints on construction productivity enhancement. Built Environment Project and Asset Management, 8(03), 239–52.

Kamara, J M (2017) Maintaining focus on clients’ requirements using the DQI tool: Towards a requirements-oriented project process. Built Environment Project and Asset Management, 7(03), 271-83.

Karunaratne, T L W and De Silva, N (2019) Demand-side energy retrofit potential in existing office buildings. Built Environment Project and Asset Management, 9(03), 426–39.

Kassem, M, Kelly, G, Dawood, N, Serginson, M and Lockley, S (2015) BIM in facilities management applications: A case study of a large university complex. Built Environment Project and Asset Management, 5(03), 261-77.

Ke, Y, Ling, F Y, Ning, Y and Zhang, Z (2019) Managing relationships in large public projects: comparative study of China and Singapore. Built Environment Project and Asset Management, 9(03), 348–63.

Kissi, E, Agyekum, K, Baiden, B K, Tannor, R A, Asamoah, G E and Andam, E T (2019) Impact of project monitoring and evaluation practices on construction project success criteria in Ghana. Built Environment Project and Asset Management, 9(03), 364–82.

Kumara, W H C D, Waidyasekara, K G A S and Weerasinghe, R P N P (2016) Building management system for sustainable built environment in Sri Lanka. Built Environment Project and Asset Management, 6(03), 302-16.

Kumaraswamy, M, Mahesh, G, Mahalingam, A, Loganathan, S and Kalidindi, S N (2017) Developing a clients’ charter and construction project KPIs to direct and drive industry improvements. Built Environment Project and Asset Management, 7(03), 253-70.

Lindkvist, C (2015) Contextualizing learning approaches which shape BIM for maintenance. Built Environment Project and Asset Management, 5(03), 318-30.

Ling, F Y Y (2018) International comparison of performance of public projects. Built Environment Project and Asset Management, 8(03), 281–92.

Ling, F Y Y and Khoo, W W (2016) Improving relationships in project teams in Malaysia. Built Environment Project and Asset Management, 6(03), 284-301.

Ling, F Y, Zhang, Z and Wong, W T (2020) How personality traits influence management styles of construction project managers. Built Environment Project and Asset Management, 10(03), 453–68.

Lokuge, W, Gamage, N and Setunge, S (2016) Fault tree analysis method for deterioration of timber bridges using an Australian case study. Built Environment Project and Asset Management, 6(03), 332-44.

  • Type: Journal Article
  • Keywords: evaluation,deterioration,fault tree analysis,preventive maintenance,road structures,timber bridges
  • ISBN/ISSN:
  • URL: https://doi.org/10.1108/BEPAM-01-2016-0001
  • Abstract:
    Purpose - Deterioration of timber bridges can often be related to a number of deficiencies in the bridge elements, connectors and/or as a result of been in aggressive environments which they are exposed to. The maintenance cost of timber bridges is affected significantly by a number of deterioration mechanisms which require a systematic approach for diagnosis and treatment. Evaluating the risk of failure of these bridges is of importance in bridge performance assessment and decision making to optimize rehabilitation options. The paper aims to discuss these issues. Design/methodology/approach - This paper identifies common causes for timber bridge deterioration and demonstrates an integrated approach based on fault tree analysis to obtain qualitative or quantitative estimation of the risk of failure of timber bridge sub-systems. Level 2 inspection report for a timber bridge in Queensland, Australia has been utilized as a case study in this research to identify the failure modes of the bridge. Findings - A diagnostic tool for timber bridge deterioration will benefit asset inspectors, managers, and engineers to identify the type, size and the distress mechanisms in order to recognize the proper corrective measures either to prevent or to reduce further deterioration. Timber bridge maintenance is a major issue in Queensland, Australia. If a decision support tool can be developed, it will benefit road authorities and local councils. Originality/value - Timber bridge maintenance is a major issue in Queensland, Australia. If a decision support tool can be developed as initiated in this research paper it will benefit road authorities and local councils.

Love, P E D, Zhou, J, Matthews, J, Sing, C-P and Carey, B (2015) A systems information model for managing electrical, control, and instrumentation assets. Built Environment Project and Asset Management, 5(03), 278-89.

Mahmood, S, Ahmed, S M, Panthi, K and Kureshi, N I (2014) Determining the cost of poor quality and its impact on productivity and profitability. Built Environment Project and Asset Management, 4(03), 296-311.

Mathar, H, Assaf, S, Hassanain, M A, Abdallah, A and Sayed, A M (2020) Critical success factors for large building construction projects. Built Environment Project and Asset Management, 10(03), 349–67.

Motawa, I and Almarshad, A (2015) Case-based reasoning and BIM systems for asset management. Built Environment Project and Asset Management, 5(03), 233-47.

Mwesigwa, R, Nabwami, R, Mayengo, J and Basulira, G (2020) Contractual completeness as a cornerstone to stakeholder management in public private partnership projects in Uganda. Built Environment Project and Asset Management, 10(03), 469–84.

Ohueri, C C, Enegbuma, W I, Wong, N H, Kuok, K K and Kenley, R (2018) Labour productivity motivation framework for Iskandar Malaysia. Built Environment Project and Asset Management, 8(03), 293–304.

Olanrewaju, A A and Anavhe, P J (2014) Perceived claim sources in the Nigerian construction industry. Built Environment Project and Asset Management, 4(03), 281-95.

Olatunji, O A and Akanmu, A (2015) BIM-FM and consequential loss: How consequential can design models be?. Built Environment Project and Asset Management, 5(03), 304-17.

Oyewole, E O and Dada, J O (2019) Training gaps in the adoption of building information modelling by Nigerian construction professionals. Built Environment Project and Asset Management, 9(03), 399–411.

Pärn, E A and Edwards, D (2017) Vision and advocacy of optoelectronic technology developments in the AECO sector. Built Environment Project and Asset Management, 7(03), 330-48.

Sackey, E, Tuuli, M and Dainty, A (2019) Expansive learning in contemporary construction organisations. Built Environment Project and Asset Management, 9(03), 383–98.

Schultz, A L (2017) Integrating lean and visual management in facilities management using design science and action research. Built Environment Project and Asset Management, 7(03), 300-12.

Shojaei, P and bolvardizadeh, A (2020) Rough MCDM model for green supplier selection in Iran: a case of university construction project. Built Environment Project and Asset Management, 10(03), 437–52.

Shooshtarian, S, Lingard, H and Wong, P S (2020) Using the cost of construction work to trigger legislative duties for WHS: the Australian experience. Built Environment Project and Asset Management, 10(03), 369–87.

Sridarran, P and Fernando, N G (2016) Change management framework to enable sustainable outsourcing of facilities management services. Built Environment Project and Asset Management, 6(03), 317-31.

Tanko, B L, Abdullah, F, Mohamad Ramly, Z and Enegbuma, W I (2018) An implementation framework of value management in the Nigerian construction industry. Built Environment Project and Asset Management, 8(03), 305–19.

Ugulu, R A and Allen, S (2018) Using the learning curve theory in the investigation of on-site craft gangs’ blockwork construction productivity. Built Environment Project and Asset Management, 8(03), 267–80.

Vilventhan, A and Rajadurai, R (2019) 4D Bridge Information Modelling for management of bridge projects: a case study from India. Built Environment Project and Asset Management, 10(03), 423–35.

Weerasinghe, R P N P and Sandanayake, Y G (2017) Collaborative facilities management model: Sri Lankan perspective. Built Environment Project and Asset Management, 7(03), 284-99.

Whyte, A and Donaldson, J (2015) Digital model data distribution in civil engineering contracts. Built Environment Project and Asset Management, 5(03), 248-60.

Wuni, I Y and Shen, G Q (2020) Stakeholder management in prefabricated prefinished volumetric construction projects: benchmarking the key result areas. Built Environment Project and Asset Management, 10(03), 407–21.

Xia, B, Wu, T, Skitmore, M, Chen, Q, Li, M and Zuo, J (2016) Delivering sustainable communities: A case study in China. Built Environment Project and Asset Management, 6(03), 253-67.

Yap, J B H and Chow, I N (2020) Investigating the managerial ‘‘nuts and bolts’’ for the construction industry. Built Environment Project and Asset Management, 10(03), 331–48.

Zahed, S E, Shahooei, S, Farooghi, F, Shahandashti, M and Ardekani, S (2019) Life-cycle cost analysis of a short-haul underground freight transportation system for the DFW Airport. Built Environment Project and Asset Management, 9(03), 440–56.

Zarghami, S A, Gunawan, I and Schultmann, F (2019) Entropy of centrality values for topological vulnerability analysis of water distribution networks. Built Environment Project and Asset Management, 9(03), 412–25.