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Sustainability
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Intelligent Construction and Sustainable Built Environment
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Intelligent Construction and Sustainable Built Environment

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Green Building".

Deadline for manuscript submissions: closed (10 May 2023) | Viewed by 2771

Special Issue Editors

Prof. Dr. Namhyuk Ham

E-Mail Website
Guest Editor
Department of Digital Architecture and Urban Engineering, Hanyang Cyber University, Seoul 04763, Korea
Interests: BIM (building information modelling); ICT (information and communication technology); artificial intelligence; big data analytics; digital twin; project delivery method; construction management; ROI (return on investment)
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Sungkon Moon

E-Mail Website
Guest Editor
Department of Civil Systems Engineering, Ajou University, Suwon 16499, Korea
Interests: construction engineering; automation and control engineering; logistics and supply chain management; technology innovation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The construction industry can be described as being typically labor-intensive, with low productivity due to low levels of digitalization. In addition, the risk of accidents is high due to its nature, where work is mainly carried out on site. To solve these problems, the construction industry is actively promoting automation and intelligence using digital transformation technologies, such as BIM, AI, ICT and robots, with BIM in particular being widely recognized as a basic tool for intelligent construction as a basis for construction automation and digital-twin-based maintenance. In addition, off-site construction (OSC) can have effects such as securing uniform quality, improving safety and reducing materials by minimizing the influence of external factors such as weather. This Special Issue aims to deal with cutting-edge technologies, processes and application cases applied to construction projects with the aim of evolving the construction industry’s intelligence, advanced production systems and sustainable construction. Topics of interest include, but are not limited to, the following:

* Construction industry and operation;

* Construction project delivery;

* Digital-based supply chain management;

* Automation and robotics in construction engineering and management;

* Big-data- and artificial-intelligence-driven analytics;

* Energy and sustainable buildings;

* Additive manufacturing in the construction industry;

* Value assessment of intelligent construction;

We look forward to receiving your contributions.

Prof. Dr. Namhyuk Ham
Prof. Dr. Sungkon Moon
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • construction engineering and management (CEM)
  • facility management (FM)
  • asset management (AM)
  • building information modeling (BIM)
  • off-site construction(OSC)
  • artificial intelligence(AI)
  • construction automation
  • return on investment (ROI)

Published Papers (2 papers)

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Research

21 pages, 7450 KiB  
Article
Research on the POPi Digital Model Framework for BIM Implementation in High-Rise Megaprojects
by Yuken Ying, Jie Wu, Qilin Zhang, Jin Jin and Pengfei Wang
Sustainability 2023, 15(15), 11720; https://doi.org/10.3390/su151511720 - 29 Jul 2023
Cited by 1 | Viewed by 880
Abstract
For more than a decade, researchers and practitioners have been working to advance the implementation of virtual design and construction (VDC) and building information modeling (BIM) in the construction industry. Based on the product-organization-process (POP) research model of VDC/BIM, this paper presents the [...] Read more.
For more than a decade, researchers and practitioners have been working to advance the implementation of virtual design and construction (VDC) and building information modeling (BIM) in the construction industry. Based on the product-organization-process (POP) research model of VDC/BIM, this paper presents the product-organization-process-infrastructure (POPi) digital framework by adding the core element: the software and hardware infrastructure. This paper discusses the element models and corresponding relationship of the POPi framework in terms of practical characteristics: the diversity of BIM applications and software in high-rise megaprojects and cross-organizational task interdependence. In addition, by combining the practices of the Suzhou Zhongnan Center, this study analyzes the four core element models of the POPi framework and discusses the typical applications and benefits to projects in design and the early stage of construction based on the element models. The research results provide a theoretical framework for the BIM application and related software development of similar projects. Full article
(This article belongs to the Special Issue Intelligent Construction and Sustainable Built Environment)
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14 pages, 4558 KiB  
Article
A Suggestion of the Alternatives Evaluation Method through IFC-Based Building Energy Performance Analysis
by Jungsik Choi and Sejin Lee
Sustainability 2023, 15(3), 1797; https://doi.org/10.3390/su15031797 - 17 Jan 2023
Cited by 9 | Viewed by 1497
Abstract
In a rapidly changing modern society, the construction industry is facing various issues, including the Fourth Industrial Revolution and climate change. Research on convergence between technologies such as artificial intelligence, AR/VR, IoT, and metaverse, and sustainable technologies such as green buildings and eco-friendly [...] Read more.
In a rapidly changing modern society, the construction industry is facing various issues, including the Fourth Industrial Revolution and climate change. Research on convergence between technologies such as artificial intelligence, AR/VR, IoT, and metaverse, and sustainable technologies such as green buildings and eco-friendly energy is being attempted in each field. The most important thing in the development of these technologies will be the interoperability of data. BIM is a technology that can effectively store data regardless of the size of a building or the amount of information and can be shared and stored without loss of data through an open format called IFC (industry foundation classes). This study aims to present a plan to generate alternatives and evaluate energy performance by analyzing the shape of the envelope for amorphous buildings through IFC. Design elements were derived through analysis of previous studies, and alternatives were automated by developing interfaces that can generate shapes according to the derived design elements. The generated alternatives can be compared and analyzed through the analysis of building energy by developing an evaluation system based on IFC. Based on the quantitative results in the initial design stage, the reliability of the design proposal considering the performance of the building is improved, and the process and cost can be predicted in advance; thus, it is expected to be an efficient decision support tool. Full article
(This article belongs to the Special Issue Intelligent Construction and Sustainable Built Environment)
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