Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
3.4
3.1
Journals
Buildings
Special Issues
BIM Methodology and Tools Development/Implementation
share announcement

BIM Methodology and Tools Development/Implementation

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

Deadline for manuscript submissions: 25 September 2025 | Viewed by 3873

Special Issue Editors

Prof. Dr. Nawari Nawari

E-Mail Website
Guest Editor
School of Architecture, College of Design, Construction and Planning, University of Florida, Gainesville, FL 32611, USA
Interests: architectural structures; sustainability and resilience; building information modeling (BIM); blockchain technology
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Fazil Najafi

E-Mail Website
Guest Editor
Engineering School of Sustainable Infrastructure & Environment, University of Florida, Gainesville, FL 32611, USA
Interests: sustainable construction engineering; transportation; renewable energy; public works
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Building Information Modeling (BIM) brings together all stakeholders involved in the built environment to explore challenges, opportunities, the latest tools, innovative strategies, and integration with other technologies. BIM is now combined with many other advanced technologies, such as Digital Twins, the Internet of Things (IoT), Blockchain, and Artificial Intelligence (AI), to improve facilities' efficiency, safety, sustainability, and resilience.

This Special Issue aims to introduce and present these advancements to researchers, scientists, engineers, architects, contractors, owners, and other professionals interested in these topics.

We invite research studies, both theoretical and experimental, as well as review papers for submission to this Special Issue. Relevant topics include, but are not limited to, the following:

  • BIM in architectural and structural design.
  • BIM in infrastructure design and construction.
  • BIM and construction management and engineering.
  • BIM and Blockchain.
  • Digital Twins.
  • BIM and IoT.
  • BIM and City Information Modeling (CIM).
  • AI applications in a BIM environment.
  • Role of BIM in sustainability and resilience.
  • BIM, AI, and contracts in legal aspects.

Prof. Dr. Nawari Nawari
Prof. Dr. Fazil Najafi
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)
  • digital twin and data interoperability
  • internet of things (IoT)
  • blockchain
  • artificial intelligence (AI)
  • BIM deliverable and IFC standard

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

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

Published Papers (4 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

15 pages, 5354 KiB  
Article
Information Modeling Application Evaluation Conversion Methodology of Barrier-Free Certification for Safety Design
by Kyung-Ha Kang, Byeung-Hun Son and Hye-Kyoung Lee
Buildings 2025, 15(7), 1000; https://doi.org/10.3390/buildings15071000 - 21 Mar 2025
Viewed by 277
Abstract
To improve safety through design, the state can take the initiative in building certification. In this study, we systematically review and review the Barrier-Free (BF) certification evaluation for barrier-free design by implementing information modeling. We developed and applied a BIM-based evaluation template to [...] Read more.
To improve safety through design, the state can take the initiative in building certification. In this study, we systematically review and review the Barrier-Free (BF) certification evaluation for barrier-free design by implementing information modeling. We developed and applied a BIM-based evaluation template to the evaluation items derived from IPA analysis. As a result of the application, we were able to construct an efficient evaluation sheet by utilizing BIM tools. The results of the study showed that there is a need to improve the BF certification criteria and develop evaluation-related items utilizing BIM functions. This study can be utilized in the future for the development of BIM-based certification criteria for the disabled and the development of evaluation sheets. Full article
(This article belongs to the Special Issue BIM Methodology and Tools Development/Implementation)
►▼ Show Figures

Figure 1

23 pages, 8927 KiB  
Article
AI-Enabled Cognitive Predictive Maintenance of Urban Assets Using City Information Modeling—Systematic Review
by Oluwatoyin O. Lawal, Nawari O. Nawari and Omobolaji Lawal
Buildings 2025, 15(5), 690; https://doi.org/10.3390/buildings15050690 - 22 Feb 2025
Cited by 1 | Viewed by 896
Abstract
Predictive maintenance of built assets often relies on scheduled routine practices that are disconnected from real-time stress assessment, degradation and defects. However, while Digital Twin (DT) technology within building and urban studies is maturing rapidly, its use in predictive maintenance is limited. Traditional [...] Read more.
Predictive maintenance of built assets often relies on scheduled routine practices that are disconnected from real-time stress assessment, degradation and defects. However, while Digital Twin (DT) technology within building and urban studies is maturing rapidly, its use in predictive maintenance is limited. Traditional preventive and reactive maintenance strategies that are more prevalent in facility management are not intuitive, not resource efficient, cannot prevent failure and either underserve the asset or are surplus to requirements. City Information Modeling (CIM) refers to a federation of BIM models in accordance with real-world geospatial references, and it can be deployed as an Urban Digital Twin (UDT) at city level, like BIM’s deployment at building level. This study presents a systematic review of 105 Scopus-indexed papers to establish current trends, gaps and opportunities for a cognitive predictive maintenance framework in the architecture, engineering, construction and operations (AECO) industry. A UDT framework consisting of the CIM of a section of the University of Florida campus is proposed to bridge the knowledge gap highlighted in the systematic review. The framework illustrates the potential for CNN-IoT integration to improve predictive maintenance through advance notifications. It also eliminates the use of centralized information archiving. Full article
(This article belongs to the Special Issue BIM Methodology and Tools Development/Implementation)
►▼ Show Figures

Figure 1

13 pages, 473 KiB  
Article
Quantitative and Qualitative Benefits of Using BIM in Design and Construction Stages for Railway Development
by Jianfeng Liao, Hwan Yong Kim and Min Ho Shin
Buildings 2025, 15(2), 180; https://doi.org/10.3390/buildings15020180 - 9 Jan 2025
Cited by 1 | Viewed by 1375
Abstract
As railway infrastructure projects become increasingly complex, the potential of Building Information Modeling (BIM) technology to enhance project efficiency and management has garnered significant attention. This paper analyzes the quantitative and qualitative benefits of BIM in the design and construction stages of railway [...] Read more.
As railway infrastructure projects become increasingly complex, the potential of Building Information Modeling (BIM) technology to enhance project efficiency and management has garnered significant attention. This paper analyzes the quantitative and qualitative benefits of BIM in the design and construction stages of railway development projects through case studies and compares its effectiveness in these two phases. The results indicate that BIM primarily benefits the design stage by reducing design errors and optimizing processes to save costs and time, averaging cost savings of USD 41,000 and a reduction of 49 days in project duration. In the construction stage, the impact of BIM is even more pronounced, reflected in reduced rework, dynamic resource management, and shortened project timelines, leading to savings of USD 710,795 and a reduction of 89 to 104.5 days in project duration. The 3D modeling and real-time information-sharing capabilities of BIM significantly enhance cross-departmental collaboration efficiency and information transparency, minimizing rework caused by communication issues and greatly optimizing project management and execution. This study shows that BIM can lay the groundwork for construction during the design phase and further improve project management efficiency during the construction phase. Full article
(This article belongs to the Special Issue BIM Methodology and Tools Development/Implementation)
►▼ Show Figures

Figure 1

16 pages, 1190 KiB  
Article
An Approach to Automatic Building Information Modeling-Based Generation of Finite Element Models of Different Complexity and Finite Element Dimensionality
by Iryna Rudenko and Yuri Petryna
Buildings 2025, 15(2), 171; https://doi.org/10.3390/buildings15020171 - 9 Jan 2025
Viewed by 838
Abstract
(1) The presented paper proposes an approach to the BIM-based generation of FE models of different complexity and FE dimensionality. This is particularly important as different FE models are needed to assess various structural or material limit states for the same structure, affecting [...] Read more.
(1) The presented paper proposes an approach to the BIM-based generation of FE models of different complexity and FE dimensionality. This is particularly important as different FE models are needed to assess various structural or material limit states for the same structure, affecting the accuracy and efficiency of simulations. (2) The basis of the BIM model is an IFC file that is enriched with FEM- and, if desired, SHM-relevant information. The geometry of the objects is described by SweptSolid representation with a parameterized profile definition. Moreover, material properties, supports, and structural connections are specified within the BIM model. Afterwards, the data are extracted from the IFC file. Additionally, the geometry of the structure is modified depending on the desired FE dimensionality. Subsequently, ANSYS MAPDL commands are generated and written to the macro file. (3) The approach is illustrated by an example of a laboratory test structure. Four FE models of different complexity and FE dimensionality are successfully generated based on the IFC file and used for numerical simulations. (4) This study demonstrates the efficiency, practicality, and functionality of the proposed approach, offering a robust solution for generating FE models that can be used across multiple structural analysis scenarios. Full article
(This article belongs to the Special Issue BIM Methodology and Tools Development/Implementation)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-4
Back to TopTop