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Ade, R and Rehm, M (2021) RETRACTED ARTICLE: A summertime thermal analysis of certified green apartments for older people. Building Research & Information, 49(08), 949–60.

González-Prieto, D, Fernández-Nava, Y, Marañón, E and Prieto, M M (2021) Environmental life cycle assessment based on the retrofitting of a twentieth-century heritage building in Spain, with electricity decarbonization scenarios. Building Research & Information, 49(08), 859–77.

Jens, K and Gregg, J S (2021) The impact on human behaviour in shared building spaces as a result of COVID-19 restrictions. Building Research & Information, 49(08), 827–41.

Loosemore, M, Alkilani, S Z and Hammad, A W A (2021) The job-seeking experiences of migrants and refugees in the Australian construction industry. Building Research & Information, 49(08), 912–29.

Marocco, M and Garofolo, I (2021) Operational text-mining methods for enhancing building maintenance management. Building Research & Information, 49(08), 893–911.

Prieto, A J (2021) Fuzzy systems in the digital management of heritage timber buildings in South Chile. Building Research & Information, 49(08), 878–92.

  • Type: Journal Article
  • Keywords: Digital management; fuzzy logic; vulnerability; heritage timber buildings; South Chile;
  • ISBN/ISSN: 0961-3218
  • URL: https://doi.org/10.1080/09613218.2021.1889350
  • Abstract:
    In the protection of heritage buildings, computational models are an innovative technology for the implementation of effective preservation strategies. These models can manage both data obtained from the buildings and data from the knowledge base of professional experts. The preventive conservation of heritage buildings requires cooperative efforts, where the professional experts’ opinions are paramount, to analyse multidisciplinary knowledge. In this respect, the incorporation of new protocols, which can help decision makers prioritize interventions and avoid restoration actions that are unnecessarily invasive or might cause irreparable loss of the properties, is urgently needed. The aim of this study is to establish a new approach concerning a digital management system that is based on artificial intelligence (fuzzy logic). Application of the model reveals that the sample (42 buildings) was classified into two vulnerability conditions: (i) medium-level affections and (ii) high-level vulnerability affections. The results obtained in this study will be useful to stakeholders who are responsible for the maintenance of heritage buildings, since this methodology allows reducing their probability of failure. This new digital management tool will help in the establishment of possible mitigation strategies that are focused on preventive future maintenance programmes of a set of heritage buildings in South Chile.

Wang, W, Gao, S, Mi, L, Xing, J, Shang, K, Qiao, Y, Fu, Y, Ni, G and Xu, N (2021) Exploring the adoption of BIM amidst the COVID-19 crisis in China. Building Research & Information, 49(08), 930–47.

Woo, J, Rajagopalan, P, Francis, M and Garnawat, P (2021) An indoor environmental quality assessment of office spaces at an urban Australian university. Building Research & Information, 49(08), 842–58.