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Buildings
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BIM-Based Construction Management: Trends and Prospects
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BIM-Based Construction Management: Trends and Prospects

A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Construction Management, and Computers & Digitization".

Deadline for manuscript submissions: closed (30 June 2024) | Viewed by 17704

Special Issue Editors

Prof. Dr. Mohamed Marzouk

E-Mail Website
Guest Editor
Structural Engineering Department, Faculty of Engineering, Cairo University, Giza 12613, Egypt
Interests: optimization; sustainability; green building; BIM; modeling and simulation; cost estimation; sustainable construction; building technology
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. David Greenwood

E-Mail Website
Guest Editor
Department of Architecture & Built Environment, Faculty of Engineering and Environment, Northumbria University, Newcastle-upon-Tyne NE1 8ST, UK
Interests: construction information management; BIM; blockchain
Special Issues, Collections and Topics in MDPI journals
Dr. Mostafa El-Hawary

E-Mail
Guest Editor
Technoengineering Observatory-TenObs, Cairo 11511, Egypt
Interests: sustainability; engineering technologies; green building; BIM; modeling and simulation; digital twin; Internet of Things

Special Issue Information

Dear Colleagues,

The implementation of Building Information Modelling (BIM) is continuously on the rise, giving the construction industry the opportunity of having more sustainable, environmentally friendly activities, quicker construction time, and better safety and cost management. Current trending technologies such as Artificial Intelligence (AI), Digital Twin, Cloud Technology, Automation, and Building Energy Modelling (BEM) are reshaping the practice of BIM and are imposing a greater perception of sustainability on the building industry.

The objective of this Special Issue is to explore the impact of such trending technologies on construction management practice throughout the integrated digital delivery process. This Special Issue seeks to present the benefits and challenges that the building industry is facing when adopting these technologies, with a special focus on sustainability as a cornerstone in the overall construction process.

For this Special Issue, we welcome papers dealing with case studies, literature reviews, survey findings, analytical methods, and tools. Examples of topics of interest include:

  • Building Information Management (BIM) and Automation.
  • BIM for sustainable construction.
  • BIM-based virtual reality (VR).
  • Virtual reality (VR) for visualization and planning in construction projects.
  • AI for sustainable construction.
  • Energy modelling for greener construction.
  • The impact of Cloud Technology on construction practice.
  • The use of digital twins in different construction applications.
  • AI adoption for smart construction.
  • Project Information Modelling (PIM) and Asset Information Modelling (AIM).
  • The application, benefits, and challenges of Building Energy Modelling (BEM).
  • The integration of BIM and BEM.
  • The integration of BIM and blockchain technology.

Prof. Dr. Mohamed Marzouk
Prof. Dr. David Greenwood
Dr. Mostafa El-Hawary
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. Buildings 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 2600 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

  • building information modelling (BIM)
  • sustainability
  • artificial intelligence (AI)
  • digital twin
  • cloud technology
  • building energy modelling (BEM)
  • virtual reality (VR) technology
  • blockchain technology

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (4 papers)

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Research

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24 pages, 8780 KiB  
Article
Digitization of AEC Industries Based on BIM and 4.0 Technologies
by Karol Zawada, Kinga Rybak-Niedziółka, Mikołaj Donderewicz and Agnieszka Starzyk
Buildings 2024, 14(5), 1350; https://doi.org/10.3390/buildings14051350 - 9 May 2024
Cited by 7 | Viewed by 3206
Abstract
BIM and 4.0 technologies are currently the leading branches of digitization in construction. The aim of this article is to confront theses on building information modeling (BIM) and coexisting technologies, and to present an analysis along with conclusions regarding the digitization process of [...] Read more.
BIM and 4.0 technologies are currently the leading branches of digitization in construction. The aim of this article is to confront theses on building information modeling (BIM) and coexisting technologies, and to present an analysis along with conclusions regarding the digitization process of AEC industries using BIM methodology and advanced digital technologies within the scope of 4.0 technologies. Key aspects of BIM and 4.0 technology integration were discussed, including artificial intelligence (AI) or big data and data science analytics. The impact of these fields on design processes, as well as on data management, monitoring of design and construction progress, and overall efficiency of AEC industries, was analyzed. The article pays particular attention to the synergy between BIM and 4.0 technology, identifying benefits, challenges, and development perspectives. Conclusions indicate the growing importance of interdisciplinarity for improving AEC industry processes and the need to adapt to the changing digital landscape in the field of design and construction. A survey was conducted, where respondents’ answers were presented in the form of charts. Questions focused on the issue of the use of BIM methodology along with coexisting technologies in the design process by the Polish engineering staff. The research results indicate that the use of the latest technological solutions in Poland is still rare, and the digital potential of these solutions is not fully utilized. The article can make a significant contribution to the discussion on technological evolution in AEC industries, identifying development directions in the context of digitization and the use of the latest achievements of 4.0 technology. Previous research has not included such a wide spectrum of BIM use in Poland. An analysis was conducted comparing Poland in a global context with other countries in BIM adoption. Full article
(This article belongs to the Special Issue BIM-Based Construction Management: Trends and Prospects)
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20 pages, 2440 KiB  
Article
A BIM-Based Bar Bending Schedule Generation Algorithm with Enhanced Accuracy
by Lwun Poe Khant, Daniel Darma Widjaja, Keehoon Kwon and Sunkuk Kim
Buildings 2024, 14(5), 1207; https://doi.org/10.3390/buildings14051207 - 24 Apr 2024
Cited by 2 | Viewed by 2331
Abstract
Rebar quantity estimation is pivotal for determining the cost of construction projects and is essential for bidding purposes. A bar bending schedule plays a crucial role by providing rebar information and bending instructions, facilitating efficient procurement. Traditional methods, which rely on manually extracting [...] Read more.
Rebar quantity estimation is pivotal for determining the cost of construction projects and is essential for bidding purposes. A bar bending schedule plays a crucial role by providing rebar information and bending instructions, facilitating efficient procurement. Traditional methods, which rely on manually extracting data from 2D (two-dimensional) drawings, are error-prone and hinder construction productivity. This study utilized a special length approach to yield optimal rebar consumption, resulting in a total rebar order of 19,582.427 t and minimizing rebar waste to 0.77%. Additionally, this method saved 3000.22 t of rebar compared to traditional methods, using only stock lengths. To enhance the accuracy and efficiency, a 3D (three-dimensional) model was developed in a Building Information Modeling (BIM) environment to prepare a Bar Bending Schedule (BBS) automatically, integrated with an Application Programming Interface (API) for data entry to eliminate manual errors. The efficacy of the proposed algorithm was confirmed by comparing the rebar quantities it generated with those obtained from optimization calculations. The results demonstrated a mean absolute error of 0.017 and a mean absolute percentage error of 1.13%, validating the algorithm’s precision. Furthermore, this method reduced the manpower required for BBS preparation by 33.33%, highlighting its potential to revolutionize construction workflow efficiency and accuracy. Full article
(This article belongs to the Special Issue BIM-Based Construction Management: Trends and Prospects)
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26 pages, 10414 KiB  
Article
A BIM-Based Tool for Assessing Sustainability in Buildings Using the Green Pyramid Rating System
by Mohamed Marzouk and Reham Thabet
Buildings 2023, 13(5), 1274; https://doi.org/10.3390/buildings13051274 - 13 May 2023
Cited by 11 | Viewed by 5008
Abstract
Green construction management is an approach that aims to promote sustainable solutions in building design and construction. However, the complexity and variability in design scenarios often pose challenges to implementing these practices effectively. This study proposes a collaborative framework for green construction management [...] Read more.
Green construction management is an approach that aims to promote sustainable solutions in building design and construction. However, the complexity and variability in design scenarios often pose challenges to implementing these practices effectively. This study proposes a collaborative framework for green construction management that leverages automated and semi-automated simulations to facilitate performance-based decision making. The framework utilizes the green pyramid rating system (GPRS) as a third-party certification assessment provider. It employs various BIM analysis software tools, including Dynamo codes in Autodesk Revit and add-in plug-ins using Revit API, to extract information and parameters from the BIM model. The data are used to perform quantitative calculations and comprehensive analysis that aid decision makers in investigating, analyzing, improving, and assessing sustainability aspects throughout the project. The proposed framework enables a structured approach to green construction management that incorporates the building variable consecutive level of details/development (LOD) and life cycle phases. A case study of an office building in the new administrative capital in Egypt demonstrates the effectiveness of the framework in promoting sustainable solutions. The collaborative framework for interoperability design decisions proposed in this study provides a valuable tool for implementing green construction management practices. The use of automated and semi-automated simulations, following the GPRS, helps to ensure that sustainable solutions are advocated, interrogated, and refined throughout the project. The framework’s structured approach enables decision makers to investigate, analyze, improve, and assess sustainability aspects effectively. Full article
(This article belongs to the Special Issue BIM-Based Construction Management: Trends and Prospects)
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Review

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22 pages, 985 KiB  
Review
Integrating Digital Twins with BIM for Enhanced Building Control Strategies: A Systematic Literature Review Focusing on Daylight and Artificial Lighting Systems
by Martin Hauer, Sascha Hammes, Philipp Zech, David Geisler-Moroder, Daniel Plörer, Josef Miller, Vincent van Karsbergen and Rainer Pfluger
Buildings 2024, 14(3), 805; https://doi.org/10.3390/buildings14030805 - 15 Mar 2024
Cited by 14 | Viewed by 6014
Abstract
In the architecture, engineering, and construction industries, the integration of Building Information Modeling (BIM) has become instrumental in shaping the design and commissioning of smart buildings. At the center of this development is the pursuit of more intelligent, efficient, and sustainable built environments. [...] Read more.
In the architecture, engineering, and construction industries, the integration of Building Information Modeling (BIM) has become instrumental in shaping the design and commissioning of smart buildings. At the center of this development is the pursuit of more intelligent, efficient, and sustainable built environments. The emergence of smart buildings equipped with advanced sensor networks and automation systems increasingly requires the implementation of Digital Twins (DT) for the direct coupling of BIM methods for integral building planning, commissioning, and operational monitoring. While simulation tools and methods exist in the design phase of developing advanced controls, their mapping to construction or post-construction models is less well developed. Through systematic, keyword-based literature research on publisher-independent databases, this review paper gives a comprehensive overview of the state of the research on BIM integration of building control systems with a primary focus on combined controls for daylight and artificial lighting systems. The review, supported by a bibliometric literature analysis, highlights major development fields in HVAC controls, failure detection, and fire-detection systems, while the integration of daylight and artificial lighting controls in Digital Twins is still at an early stage of development. In addition to already existing reviews in the context of BIM and Digital planning methods, this review particularly intends to build the necessary knowledge base to further motivate research activities to integrate simulation-based control methods in the BIM planning process and to further close the gap between planning, implementation, and commissioning. Full article
(This article belongs to the Special Issue BIM-Based Construction Management: Trends and Prospects)
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