Selected Papers from the 20th International Conference on Computing in Civil and Building Engineering (ICCCBE 2024)
A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Construction Management, and Computers & Digitization".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 3
Special Issue Editor
Special Issue Information
Dear Colleagues,
The 20th International Conference on Computing in Civil and Building Engineering (ICCCBE 2024), held in Montreal, highlighted the crucial role of computational methods in advancing construction operation planning. The integration of visualization, optimization, and graphical modelling has emerged as a cornerstone for improving efficiency, safety, and sustainability in different construction processes. These technologies enable stakeholders to simulate complex scenarios, optimize resource allocation, and enhance decision-making through intuitive graphical representations.
This Special Issue, titled "Selected Papers from the 20th International Conference on Computing in Civil and Building Engineering (ICCCBE 2024)", aims to consolidate cutting-edge research presented at the ICCCBE 2024. It will focus on innovative approaches to visualizing construction processes, optimizing workflows, and leveraging graphical models to address challenges in planning and execution. Submissions may include theoretical or applied research, case studies, or reviews that explore the intersection of digital tools and construction management.
Topics covered in this Special Issue include, but are not limited to, the following:
- Visualization techniques for digital twins in construction planning.
- Optimization algorithms for resource allocation and scheduling.
- Graphical modelling for construction site monitoring and control.
- The application of virtual and augmented reality in construction operation rehearsals.
- Machine learning and AI-driven tools for predictive planning and visualization.
- The integration of BIM and CIM for enhanced construction workflow management.
We invite contributions that advance the state of the art in these areas, drawing from the diverse themes of the ICCCBE 2024, which included building information modelling (BIM), digital twins, visualization, civil information modelling (CIM), and advancing construction planning and scheduling. Research articles, comprehensive reviews, and case studies are welcome.
Prof. Dr. Adel Francis
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. 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
- visualization techniques
- construction optimization
- graphical modelling
- digital twins
- building information modelling (BIM)
- civil information modelling (CIM)
- virtual reality in construction
- construction planning and scheduling
- machine learning in construction
- resource allocation
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