Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
3.1
3.8
Journals
Buildings
Special Issues
Building Information Management (BIM) toward Construction 5.0
share announcement

Building Information Management (BIM) toward Construction 5.0

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 (15 March 2024) | Viewed by 2722

Special Issue Editors

Dr. Peter Johansson

E-Mail Website
Guest Editor
Department of Construction Engineering and Lighting Science, Jönköping University, 551 11 Jönköping, Sweden
Interests: BIM; reference models for Construction 4.0/5.0; knowledge graph; semantic web; IDS; PDT
Dr. Annika Moscati

E-Mail Website
Guest Editor
Department of Construction Engineering and Lighting Science, Jönköping University, 551 11 Jönköping, Sweden
Interests: BIM; GIS; digital information flow; sustainability
Dr. Ibrahim Yitmen

E-Mail Website
Guest Editor
Department of Construction Engineering and Lighting Science, Jönköping University, 551 11 Jönköping, Sweden
Interests: cognitive digital twins; smart built environment; integration of digital twins and deep learning for smart planning and construction; blockchain technology in construction supply chains; cyber–physical systems for Construction 4.0
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The vision of Industry 5.0, where industry achieves societal goals beyond jobs and growth to become a resilient provider of prosperity, is, at present, translated into a vision for Construction 5.0. The goal should be achieved by respecting the boundaries of our planet and placing the well-being of humans in focus. This will widen the vision of Construction 4.0, but still focus on a transition facilitated by advanced digital technologies. Building information modeling (BIM) is a mature area that has helped provide conceptual information models for the built environment. Today, it is vital to also incorporate new technologies, e.g., the Internet of Things (IoT), product data templates, digital twins (DTs), and advanced AI techniques (such as graph neural networks (GNNs) and machine learning (ML)). This development has, in turn, increased the need for more advanced frameworks and reference models that show how advanced digital technologies can be combined.

This Special Issue aims to cover the latest research findings and ideas on the topic of digital and intelligent approaches for Construction 4.0 and that can help us move toward Construction 5.0. The Special Issue covers original research and review studies on topics including, but not limited to:

  • Conceptual frameworks for Construction 4.0/5.0;
  • Reference models for Construction 4.0/5.0;
  • Reference architecture for Construction 4.0/5.0;
  • Knowledge graph and semantic web applications for Construction 4.0/5.0;
  • Internet of Things (IoT);
  • Product data templates (PDT, EPD, DPP, etc.);
  • Digital twins (DTs);
  • Artificial intelligence-enhanced digital twins toward Construction 5.0;
  • Cognitive digital twins for building lifecycle management;
  • Human–computer interaction for Construction 5.0.

Dr. Peter Johansson
Dr. Annika Moscati
Dr. Ibrahim Yitmen
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 monthly 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

  • BIM
  • Construction 4.0
  • Construction 5.0
  • Internet of Things (IoT)
  • digital twins (DTs)
  • product data templates
  • artificial intelligence
  • human–computer interaction
  • lifecycle management

Published Papers (2 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

22 pages, 10445 KiB  
Article
Development of BrIM-Based Bridge Maintenance System for Existing Bridges
by Chi-Ho Jeon, Duy-Cuong Nguyen, Gitae Roh and Chang-Su Shim
Buildings 2023, 13(9), 2332; https://doi.org/10.3390/buildings13092332 - 14 Sep 2023
Cited by 2 | Viewed by 1140
Abstract
Globally, bridges are rapidly aging, and traditional maintenance approaches face significant challenges in terms of efficiency and cost. To overcome these challenges, considerable research has been conducted to introduce enhanced bridge management systems (BMSs) based on bridge information modeling (BrIM) from various perspectives. [...] Read more.
Globally, bridges are rapidly aging, and traditional maintenance approaches face significant challenges in terms of efficiency and cost. To overcome these challenges, considerable research has been conducted to introduce enhanced bridge management systems (BMSs) based on bridge information modeling (BrIM) from various perspectives. However, most studies have highlighted the advantages of BrIM, while neglecting the practical issues that potential users may encounter on existing bridges. The primary problem is digitizing existing bridges that have not yet adopted BrIM. The universal applicability of BrIM should be carefully considered from the perspective of national maintenance authorities managing thousands of bridges, because modeling based on commercial software is expected to be time-consuming and costly. Therefore, in this study, information and functional requirements were derived from interviews with stakeholders, including bridge owners, managers, and site inspectors. Based on this understanding, a data-driven modeling approach using basic bridge information was implemented, and an inventory code system was integrated to efficiently manage and utilize the data. Moreover, mapping and deep learning-based vectorization were considered for managing inspection information, and features for bridge assessment, dashboards, and reporting were incorporated to support decision-making. The developed BrIM demonstrated the potential for enhancing maintenance efficiency through a case study. Particularly, significant improvements were observed in mandatory documentation tasks, along with their investigation and analysis, as required by regulations. Additionally, efficient modeling and data management were achieved for the existing bridge. Full article
(This article belongs to the Special Issue Building Information Management (BIM) toward Construction 5.0)
►▼ Show Figures

Figure 1

20 pages, 1281 KiB  
Article
Exploring the Fusion of Knowledge Graphs into Cognitive Modular Production
by Soheil Jaryani, Ibrahim Yitmen, Habib Sadri and Sepehr Alizadehsalehi
Buildings 2023, 13(9), 2306; https://doi.org/10.3390/buildings13092306 - 11 Sep 2023
Viewed by 1158
Abstract
Modular production has been recognized as a pivotal approach for enhancing productivity and cost reduction within the industrialized building industry. In the pursuit of further optimization of production processes, the concept of cognitive modular production (CMP) has been proposed, aiming to integrate digital [...] Read more.
Modular production has been recognized as a pivotal approach for enhancing productivity and cost reduction within the industrialized building industry. In the pursuit of further optimization of production processes, the concept of cognitive modular production (CMP) has been proposed, aiming to integrate digital twins (DTs), artificial intelligence (AI), and Internet of Things (IoT) technologies into modular production systems. This fusion would imbue these systems with perception and decision-making capabilities, enabling autonomous operations. However, the efficacy of this approach critically hinges upon the ability to comprehend the production process and its variations, as well as the utilization of IoT and cognitive functionalities. Knowledge graphs (KGs) represent a type of graph database that organizes data into interconnected nodes (entities) and edges (relationships), thereby providing a visual and intuitive representation of intricate systems. This study seeks to investigate the potential fusion of KGs into CMP to bolster decision-making processes on the production line. Empirical data were collected through a computerized self-administered questionnaire (CSAQ) survey, with a specific emphasis on exploring the potential benefits of incorporating KGs into CMP. The quantitative analysis findings underscore the effectiveness of integrating KGs into CMP, particularly through the utilization of visual representations that depict the relationships between diverse components and subprocesses within a virtual environment. This fusion facilitates the real-time monitoring and control of the physical production process. By harnessing the power of KGs, CMP can attain a comprehensive understanding of the manufacturing process, thereby supporting interoperability and decision-making capabilities within modular production systems in the industrialized building industry. Full article
(This article belongs to the Special Issue Building Information Management (BIM) toward Construction 5.0)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2
Back to TopTop