Mohammad Amanzadegan; Yaghowb Peyvastehgar; Ali Akbar Heidari; Razieh Malekhosseini
Abstract
Building Information Modeling (BIM) has revolutionized the construction industry by improving efficiency and simplifying building project methods. Integrating BIM with digital systems such as artificial intelligence (AI) removes barriers and makes the project life cycle more productive and beneficial. ...
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Building Information Modeling (BIM) has revolutionized the construction industry by improving efficiency and simplifying building project methods. Integrating BIM with digital systems such as artificial intelligence (AI) removes barriers and makes the project life cycle more productive and beneficial. The benefits of BIM and AI go beyond 3D modeling and building plans. They manage and control the entire construction project life cycle from start to the end. The aim of the current research is to provide a comprehensive understanding of the process of AI-BIM integration, which has been carried out by various researchers around the world. To achieve this goal, 380 articles published in 2015-2021 have been systematically analyzed through Scopus reference database. This research presents a systematic review of qualitative research to identify the characteristics of BIM, AI, their integration and implementation in construction. It also provides future research trends and insights and emphasizes interoperability in BIM. On the other hand, it reinforces the need for future research to focus on the interoperability of artificial intelligence and other intelligent systems in BIM to foster integrated science based on digitalization and information and communication technology. Finally, it also highlights the extension of the findings during the life cycle of the building construction project. The research results show that the integration of artificial intelligence and BIM has the capacity to change the construction industry. Because it has the ability to significantly reduce errors, to save time and resources (human resources and construction materials), to increase productivity and to adapt the map based on the user's needs through controller modules, database and machine learning according to building regulations. This research also identifies some of the challenges hindering the integration of AI and BIM, such as the lack of interoperability standards, data privacy concerns, and insufficient training for professionals.
Elham Amanzadegan; manouchehr Tabibian
Abstract
The main issue of the present study is the feasibility of Shiraz sustainable urban regeneration indicators and components. In order to achieve the goals, the status of sustainable urban regeneration indicators are analyzed and evaluated (economic, managerial, legal, participatory, socio-demographic, ...
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The main issue of the present study is the feasibility of Shiraz sustainable urban regeneration indicators and components. In order to achieve the goals, the status of sustainable urban regeneration indicators are analyzed and evaluated (economic, managerial, legal, participatory, socio-demographic, cultural-tourism and physical-functional) in the target areas of Shiraz's historical district (Darb-shazdeh, Sare-dozak, Eshagh-beig, bazare-morgh and sange-siah). These quarters are selected as target neighborhoods to evaluate the regeneration and sustainability indices, purposefully due to the availability of documentation of rehabilitation, renovation and regeneration programs and the availability of actors, stakeholders, and key elements of plans and programs. The statistical population of this study is 26069 inhabitants of five selected neighborhoods of eight municipality of Shiraz historical district. Then, 384 people were selected using Cochran formula and questionnaires were distributed and completed by simple random method. The required data were collected through FMEA analysis and field studies (questionnaire and interview) and analyzed by SPSS software, one-sample T-test, analysis of variance, test experience (LSD) and Friedman. Research findings show that in Shiraz status qua, physical-functional index with the mean of 3.443 had the highest mean and public participation index with the mean of 2.223 was the lowest. The results of analysis of variance indicate that there are significant differences among the five target neighborhoods of Shiraz historical district in terms of sustainable urban regeneration indices. Also, according to the results of Friedman test, Sare-dozak neighborhood with a mean of 3.53 is the lowest and the Bazare-morgh with a mean of 12.17 is ranked first.
