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Aghimien, E I, Aghimien, L M, Petinrin, O O and Aghimien, D O (2021) High-performance computing for computational modelling in built environment-related studies – a scientometric review. Journal of Engineering, Design and Technology, 19(5), 1138-57.

  • Type: Journal Article
  • Keywords: computing; developing countries; equipment; performance; problem solving; programming; visualisation; optimisation; future studies; mathematical modelling; simulation
  • ISBN/ISSN:
  • URL: http://dx.doi.org/10.1108/JEDT-07-2020-0294
  • Abstract:
    This paper aims to present the result of a scientometric analysis conducted using studies on high-performance computing in computational modelling. This was done with a view to showcasing the need for high-performance computers (HPC) within the architecture, engineering and construction (AEC) industry in developing countries, particularly in Africa, where the use of HPC in developing computational models (CMs) for effective problem solving is still low. An interpretivism philosophical stance was adopted for the study which informed a scientometric review of existing studies gathered from the Scopus database. Keywords such as high-performance computing, and computational modelling were used to extract papers from the database. Visualisation of Similarities viewer (VOSviewer) was used to prepare co-occurrence maps based on the bibliographic data gathered. Findings revealed the scarcity of research emanating from Africa in this area of study. Furthermore, past studies had placed focus on high-performance computing in the development of computational modelling and theory, parallel computing and improved visualisation, large-scale application software, computer simulations and computational mathematical modelling. Future studies can also explore areas such as cloud computing, optimisation, high-level programming language, natural science computing, computer graphics equipment and Graphics Processing Units as they relate to the AEC industry. The study assessed a single database for the search of related studies. The findings of this study serve as an excellent theoretical background for AEC researchers seeking to explore the use of HPC for CMs development in the quest for solving complex problems in the industry.

Agyekum, K, Adinyira, E and Amudjie, J (2021) Ethical misconducts within the invitation to tender and tender evaluation and award stages of construction contracts in Ghana. Journal of Engineering, Design and Technology, 19(5), 1101-23.

Aliu, J and Aigbavboa, C O (2021) Structural determinants of graduate employability: impact of university and industry collaborations. Journal of Engineering, Design and Technology, 19(5), 1080-100.

Gbadegesin, A O, Sun, Y and Nwulu, N I (2021) Stacked value streams of hybrid energy storage systems in prosumer microgrids. Journal of Engineering, Design and Technology, 19(5), 1063-79.

Hayette, F, Abadou, Y and Ghrieb, A (2021) Bio-waste influence on air lime mortar performance corrosion – optimization using the surface response method. Journal of Engineering, Design and Technology, 19(5), 1124-37.

Ifeoluwa Benjamin, O, Ogunleye, M B and Abiodun Kolawole, O (2021) Evaluation of the critical success factors for sustainable housing delivery: analytic hierarchy process approach. Journal of Engineering, Design and Technology, 19(5), 1044-62.

Innocent Chigozie, O (2021) The need for and benefits of buildability analysis: Nigeria as a case study. Journal of Engineering, Design and Technology, 19(5), 1207-30.

Jirandeh, R R, Ghazi, M, Sotoodeh, A F and Nikian, M (2021) Plate-fin heat exchanger network modeling, design and optimization – a novel and comprehensive algorithm. Journal of Engineering, Design and Technology, 19(5), 1017-43.

Mostafa Adel, E, Elnawawy, O, Ayman Ahmed Ezzat, O and Badawy, M (2021) A framework to activate the health and safety regulations in the Egyptian construction industry. Journal of Engineering, Design and Technology, 19(5), 1158-91.

Shi, J, Hu, J, Ma, M and Wang, H (2021) An environmental impact analysis method of machine-tool cutting units based on LCA. Journal of Engineering, Design and Technology, 19(5), 1192-206.