High-performance computing for computational modelling in built environment-related studies: A scientometric review

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), pp. 1138-1157. ISSN 1726-0531

Abstract

Purpose: 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. Design/methodology/approach: 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: 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. Research limitations/implications: The study assessed a single database for the search of related studies. Originality/value: 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.

Item Type: Article
Uncontrolled Keywords: computational modelling techniques; computational models; high performance computing; scientific models
Index terms: future study, modelling, computer graphic, scientific model, built environment, computational modelling technique, mathematical modelling, database, Africa, visualization, high performance computing, computing, programming, problem solving, methodology, science, computer simulation, computational model, interpretivism, cloud computing, maps, developing country
Subjects: data management, digital infrastructure, infrastructure and transport systems, research methods, decision-making and reasoning, spatial and geospatial analysis, theoretical framing, design practice, development economics, modelling and simulation, analytical methods, regions and continents, research design and methodology, computer hardware, computing systems, specialized education, programming
Topics: Engineering Principles, Geographical Context, Research Practice, Digital Applications, Urban Studies, Design Practice, International Construction, Education
Descriptive scope: 4 PCTA

N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here