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Abdul-Aziz, A, Suresh, S and Renukappa, S (2020) The conundrum of professionalising building surveying in Malaysia. International Journal of Building Pathology and Adaptation, 38(05), 621–34.

Fasna, M and Gunatilake, S (2020) Roles and functions of stakeholders in implementing energy retrofits in the hotel sector. International Journal of Building Pathology and Adaptation, 38(05), 737–51.

Hassanain, M A, Sanni-Anibire, M O, Mahmoud, A S and Ahmed, W (2019) Post-occupancy evaluation of research and academic laboratory facilities. International Journal of Building Pathology and Adaptation, 38(05), 797–810.

Hauashdh, A, Jailani, J, Abdul Rahman, I and AL-fadhali, N (2020) Building maintenance practices in Malaysia: a systematic review of issues, effects and the way forward. International Journal of Building Pathology and Adaptation, 38(05), 653–72.

Kıran Çakır, H, Aydın, D and Arabulan, S (2020) Adaptive reuse of open spaces in historical buildings. International Journal of Building Pathology and Adaptation, 38(05), 703–19.

Kaasalainen, T and Huuhka, S (2020) Existing apartment buildings as a spatial reserve for assisted living. International Journal of Building Pathology and Adaptation, 38(05), 753–69.

Marzouk, M, ElSharkawy, M, Elsayed, P and Eissa, A (2020) Resolving deterioration of heritage building elements using an expert system. International Journal of Building Pathology and Adaptation, 38(05), 721–35.

  • Type: Journal Article
  • Keywords: Heritage buildings; Expert systems; Heritage maintenance; Deterioration; Materials decay;
  • ISBN/ISSN: 2398-4708
  • URL: https://doi.org/10.1108/IJBPA-12-2019-0106
  • Abstract:
    The maintenance of original building materials is crucial to extending their lifetime and avoiding their repeated replacement in heritage buildings. In order to maintain the identity of built heritage and resolve possible deterioration over the years, special expertise is required to avoid possible materials decay and to preserve building elements in a way that allows them to function efficiently as originally intended.Design/methodology/approach An expert system is created to identify the most effective method of repair for each specific building material and to propose the appropriate conservation methods for resolving different types of damages. Artificial intelligence is used to provide a systematic problem-solving technique that saves time and provides the most efficient conservation and preservation method for heritage building elements.Findings Those expert systems could be generalized on similar historical structures to be used as a systematic guide for examining material, evaluating deterioration state and objectively suggesting their related repair techniques. Further deteriorated materials in heritage buildings should be investigated, such as stone and timber staircases, to provide a guide for usage by restoration and conservation authorities.Originality/value Using a user-friendly method, with special considerations to three major problematic building elements in terms of decay and material dysfunction in heritage structures, timber doors, iron gates, and ceiling paintings are selected for diagnosis and repair in an Egyptian heritage building.

Pourebrahimi, M, Eghbali, S R and Pereira Roders, A (2020) Identifying building obsolescence: towards increasing buildings' service life. International Journal of Building Pathology and Adaptation, 38(05), 635–52.

Sharifi, A A and Farahinia, A H (2020) Evaluation of the future adaptive reuse of Mashrooteh house using the adaptSTAR model. International Journal of Building Pathology and Adaptation, 38(05), 771–84.

Wilkinson, S, Biloria, N and Ralph, P (2020) The technical issues associated with algae building technology. International Journal of Building Pathology and Adaptation, 38(05), 673–88.

Yazdani Mehr, S and Wilkinson, S (2020) The importance of place and authenticity in adaptive reuse of heritage buildings. International Journal of Building Pathology and Adaptation, 38(05), 689–701.

Zhang, K (2020) Energy-saving parameterized design of buildings based on genetic algorithm. International Journal of Building Pathology and Adaptation, 38(05), 785–95.