Abstracts – Browse Results
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Aksenova, G and Oti-Sarpong, K (2024) Beyond “platformania” in the construction sector: Conceptualisations and implications of product platformisation in the UK. Construction Management and Economics, 42(03), 229–50.
Azman, M A, Chuweni, N N, Muhamad Halil, F, Ku Azir, K M A, Lee, B L, Juhari, F N and Skitmore, M (2024) The impact of the change in institutional regulation on construction productivity: firm-level evidence in a developing economy. Construction Management and Economics, 42(03), 199–214.
Badi, S (2024) The role of blockchain in enabling inter-organisational supply chain alignment for value co-creation in the construction industry. Construction Management and Economics, 42(03), 266–88.
Bergsdal, H, Brattebø, H and Müller, D B (2014) Dynamic material flow analysis for PCBs in the Norwegian building stock. Building Research & Information, 42(03), 359-70.
Devine-Wright, P, Wrapson, W, Henshaw, V and Guy, S (2014) Low carbon heating and older adults: comfort, cosiness and glow. Building Research & Information, 42(03), 288-99.
Dias, J L, Silva, A, Chai, C, Gaspar, P L and de Brito, J (2014) Neural networks applied to service life prediction of exterior painted surfaces. Building Research & Information, 42(03), 371-80.
- Type: Journal Article
- Keywords:
- ISBN/ISSN: 0961-3218
- URL: https://doi.org/10.1080/09613218.2013.819551
- Abstract:
Service life prediction is assuming a primary role as it allows a more rational use of scarce resources; its methods are useful for defining preventive maintenance plans, thereby increasing performance and reducing costs. A new mathematical model is presented that uses artificial neural networks to evaluate the service life of painted surfaces. The data on facade degradation were collected from field observations on 160 buildings (220 painted surfaces) in Lisbon, Portugal, examining several degradation agents. In service conditions, the mean estimated service life of exterior painted surfaces is found to be 9.49 years, with a standard deviation of 0.633 years. Detailed factors are identified and incorporated into the model, which account for variations in degradation. Some statistical parameters are used to evaluate the validity and efficiency of the model. The values obtained are consistent with the existing perception relative to the durability of painted coatings. These values can be used to evaluate the economic and environmental performance of painted surfaces throughout their life cycle. The use of this model can optimize inspection and maintenance plans as well as the implementation of inform decisions at the design and construction stages.
Gallardo, C, Sandberg, N H and Brattebø, H (2014) Dynamic-MFA examination of Chilean housing stock: long-term changes and earthquake damage. Building Research & Information, 42(03), 343-58.
Gluch, P, Gustafsson, M, Thuvander, L and Baumann, H (2014) Charting corporate greening: environmental management trends in Sweden. Building Research & Information, 42(03), 318-29.
Hamilton, I G, Shipworth, D, Summerfield, A J, Steadman, P, Oreszczyn, T and Lowe, R (2014) Uptake of energy efficiency interventions in English dwellings. Building Research & Information, 42(03), 255-75.
Hoang, V, Susilawati, C and Raharjo, J P (2024) Analysis of productivity performance of real estate and construction firms in Indonesia. Construction Management and Economics, 42(03), 215–28.
Lees, T and Sexton, M (2014) An evolutionary innovation perspective on the selection of low and zero-carbon technologies in new housing. Building Research & Information, 42(03), 276-87.
Schweber, L and Haroglu, H (2014) Comparing the fit between BREEAM assessment and design processes. Building Research & Information, 42(03), 300-17.
van Marrewijk, A, Veenswijk, M and Clegg, S (2014) Changing collaborative practices through cultural interventions. Building Research & Information, 42(03), 330-42.
Walker, G H, Foscarin-Kosmetatou, S, Marr, S, Gillies, S and Lindsay, P (2024) Critical essay: sociotechnical construction. Construction Management and Economics, 42(03), 251–65.