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Burney, D and Claflin, A (2016) Practical considerations for implementing research on the indoor built environment. Building Research & Information, 44(03), 342-4.
Cartwright, N (2016) Scientific models versus social reality. Building Research & Information, 44(03), 334-7.
Forcada, N, Macarulla, M, Gangolells, M and Casals, M (2016) Handover defects: Comparison of construction and post-handover housing defects. Building Research & Information, 44(03), 279-88.
Garcia-Holguera, M, Clark, O G, Sprecher, A and Gaskin, S (2016) Ecosystem biomimetics for resource use optimization in buildings. Building Research & Information, 44(03), 263-78.
Goh, B H and Sun, Y (2016) The development of life-cycle costing for buildings. Building Research & Information, 44(03), 319-33.
Kaasalainen, T and Huuhka, S (2016) Homogenous homes of Finland: 'Standard' flats in non-standardized blocks. Building Research & Information, 44(03), 229-47.
Lucke, T, Beecham, S and Qu, Y Y (2016) Estimating flow rates through individual outlets of siphonic roof drainage systems. Building Research & Information, 44(03), 289-300.
Müller, B (2016) Policy gaps: Future challenges for research. Building Research & Information, 44(03), 338-41.
Parkinson, T and de Dear, R (2016) Thermal pleasure in built environments: Spatial alliesthesia from contact heating. Building Research & Information, 44(03), 248-62.
Silva, A, Neves, L C, Gaspar, P L and de Brito, J (2016) Probabilistic transition of condition: Render facades. Building Research & Information, 44(03), 301-18.
- Type: Journal Article
- Keywords: Markov chains; facades; environmental conditions; render; service life prediction; durability; architectural engineering; Markov analysis; life cycles
- ISBN/ISSN: 0961-3218
- URL: https://doi.org/10.1080/09613218.2015.1023645
- Abstract:
The service life of cement-rendered facades is closely related to the environmental conditions to which they are exposed. The probability distribution is determined for the degradation condition of render facades considering different environmental exposures. A sample of 100 render facades was subjected to meticulous fieldwork to determine their condition. The analysis focuses on the environmental factors that most influence the overall degradation of the facades, evaluated through the condition level. Probabilistic models based on Markov chains are developed to predict the evolution of facade deterioration according to exposure to outdoor environmental conditions. The proposed model provides data on the synergy between the degradation agents and the degradation condition of render facades, the average time of permanence in each degradation level, and indications of the effect of degradation on the durability of render that may be applied in the implementation and fine-tuning of maintenance procedures. A better understanding of the durability of render facades allows a more rational management of their maintenance, contributing to a reduction of their life cycle costs. The proposed stochastic model provides information that can be applied in the context of insurance policies, allowing an evaluation of the risk of failure of coatings.; The service life of cement-rendered facades is closely related to the environmental conditions to which they are exposed. The probability distribution is determined for the degradation condition of render facades considering different environmental exposures. A sample of 100 render facades was subjected to meticulous fieldwork to determine their condition. The analysis focuses on the environmental factors that most influence the overall degradation of the facades, evaluated through the condition level. Probabilistic models based on Markov chains are developed to predict the evolution of facade deterioration according to exposure to outdoor environmental conditions. The proposed model provides data on the synergy between the degradation agents and the degradation condition of render facades, the average time of permanence in each degradation level, and indications of the effect of degradation on the durability of render that may be applied in the implementation and fine-tuning of maintenance procedures. A better understanding of the durability of render facades allows a more rational management of their maintenance, contributing to a reduction of their life cycle costs. The proposed stochastic model provides information that can be applied in the context of insurance policies, allowing an evaluation of the risk of failure of coatings.;