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Applied Sciences
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Building Information Modeling (BIM): Current Status, Applications and Trends
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Building Information Modeling (BIM): Current Status, Applications and Trends

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Civil Engineering".

Deadline for manuscript submissions: closed (20 November 2023) | Viewed by 14161

Special Issue Editor

Dr. Oscar Galao

E-Mail Website
Guest Editor
Department of Civil Engineering, University of Alicante, San Vicente del Raspeig, Alicante 03690, Spain
Interests: BIM; sustainability; digitalization; multifunctional concrete
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The digitization of the AEC sector has gone from being necessary to being essential. Advances in electronics, in hardware and software, as well as in wireless networks, allow a large amount of graphic and non-graphic information to be transferred at high speed. Design has taken off from flat (2D) to parametric design. Interoperability between multidisciplinary teams in real time is today easily assumable. Digital and remote control and monitoring of works, installations and infrastructures, with all kinds of devices and sensors, is today an efficient and sustainable alternative. At the project and research level, all these advances have been developing for years. However, small and medium-sized companies, subcontracting companies or public institutions still have great difficulties in implementing these systems and procedures. This Special Issue tries to be a repository where the bases can be established for the analysis of the current situation in the world and the strategies that are being established to use the aforementioned advances with the aim of improving the economy and the sustainability of the sector, as well as how to focus a vision of the future hand in hand with aspects such as the metaverse.

Dr. Oscar Galao
Guest Editor

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. Applied Sciences 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

  • AEC
  • BIM
  • digitalizaton
  • 5G
  • metaverse
  • digital twins
  • circular economy

Published Papers (3 papers)

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Research

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22 pages, 3296 KiB  
Article
A Quality Management Method for Prefabricated Building Design Based on BIM and VR-Integrated Technology
by Min Zhou, Jiayuan Wang, Bo Yu and Kunyang Chen
Appl. Sci. 2024, 14(4), 1635; https://doi.org/10.3390/app14041635 - 18 Feb 2024
Viewed by 1374
Abstract
Quality management in the design phase is crucial for determining the overall quality of prefabricated buildings. However, traditional design methods can no longer meet the complex design, component, and nodal requirements of prefabricated buildings. This study proposes a quality management framework for the [...] Read more.
Quality management in the design phase is crucial for determining the overall quality of prefabricated buildings. However, traditional design methods can no longer meet the complex design, component, and nodal requirements of prefabricated buildings. This study proposes a quality management framework for the prefabricated building design phase based on building information modeling (BIM) and virtual reality (VR) technologies to enhance design precision and satisfaction. Applying this framework to a prefabricated building project in Shenzhen, China, it was found that compared to traditional 2D drawing methods, the design issues feedback during drawing reviews decreased by 41.35%. Compared to solely using BIM technology, the number of design collisions identified through collision detection increased by 28.35%, and feedback on design issues during drawing reviews decreased by 15%. Furthermore, the framework was tested to prove its usability, effectiveness, and functionality. The framework, integrating the rich architectural information of BIM with the immersive experience of VR, contributes to focusing on the design process, improving design tools, optimizing design workflows, significantly reducing design errors, and enhancing the quality of prefabricated buildings. Full article
(This article belongs to the Special Issue Building Information Modeling (BIM): Current Status, Applications and Trends)
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Review

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38 pages, 480 KiB  
Review
Exploring the Benefits and Limitations of Digital Twin Technology in Building Energy
by Faham Tahmasebinia, Lin Lin, Shuo Wu, Yifan Kang and Samad Sepasgozar
Appl. Sci. 2023, 13(15), 8814; https://doi.org/10.3390/app13158814 - 30 Jul 2023
Cited by 10 | Viewed by 6024
Abstract
Buildings consume a significant amount of energy throughout their lifecycle; Thus, sustainable energy management is crucial for all buildings, and controlling energy consumption has become increasingly important for achieving sustainable construction. Digital twin (DT) technology, which lies at the core of Industry 4.0, [...] Read more.
Buildings consume a significant amount of energy throughout their lifecycle; Thus, sustainable energy management is crucial for all buildings, and controlling energy consumption has become increasingly important for achieving sustainable construction. Digital twin (DT) technology, which lies at the core of Industry 4.0, has gained widespread adoption in various fields, including building energy analysis. With the ability to monitor, optimize, and predict building energy consumption in real time. DT technology has enabled sustainable building energy management and cost reduction. This paper provides a comprehensive review of the development and application of DT technology in building energy. Specifically, it discusses the background of building information modeling (BIM) and DT technology and their application in energy optimization in buildings. Additionally, this article reviews the application of DT technology in building energy management, indoor environmental monitoring, and building energy efficiency evaluation. It also examines the benefits and challenges of implementing DT technology in building energy analysis and highlights recent case studies. Furthermore, this review emphasizes emerging trends and opportunities for future research, including integrating machine learning techniques with DT technology. The use of DT technology in the energy sector is gaining momentum as efforts to optimize energy efficiency and reduce carbon emissions continue. The advancement of building energy analysis and machine learning technologies is expected to enhance prediction accuracy, optimize energy efficiency, and improve management processes. These advancements have become the focal point of current literature and have the potential to facilitate the transition to clean energy, ultimately achieving sustainable development goals. Full article
(This article belongs to the Special Issue Building Information Modeling (BIM): Current Status, Applications and Trends)
31 pages, 3794 KiB  
Review
A Review on the Implementation of the BIM Methodology in the Operation Maintenance and Transport Infrastructure
by Jorge Jerez Cepa, Rubén M. Pavón, Marcos G. Alberti, Angelo Ciccone and Domenico Asprone
Appl. Sci. 2023, 13(5), 3176; https://doi.org/10.3390/app13053176 - 1 Mar 2023
Cited by 14 | Viewed by 6120
Abstract
There has been a significant increase in studies related to Industry 4.0 alongside the development of new technologies, devices and software, becoming one of the most relevant topics for years within the so-called Fourth Industrial Revolution (4IR). The Architecture, Engineering and Construction sector [...] Read more.
There has been a significant increase in studies related to Industry 4.0 alongside the development of new technologies, devices and software, becoming one of the most relevant topics for years within the so-called Fourth Industrial Revolution (4IR). The Architecture, Engineering and Construction sector (AEC) sector is one step behind other engineering fields in productivity, and digitalisation can help reduce this gap. Building Information Modelling (BIM) implementation in various project phases with other technologies such as the Internet of Things, Big Data, Blockchain or Geographic Information System (GIS) are the main drivers of Smart Construction. This paper provides an updated state-of-art of the BIM applications through different civil engineering projects and towards the use of new Information and Communication Technologies (ICTs). Hence, the integration of BIM in the Facility Management through ICTs allows decision making based on data analysis and the optimization of available resources. Full article
(This article belongs to the Special Issue Building Information Modeling (BIM): Current Status, Applications and Trends)
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