Advance in BIM-Based Technologies for Sustainable Building Performance Predictions—2nd Edition
A Special Issue of Buildings (ISSN 2075-5309) belonging to the section "Construction Management, and Computers & Digitization".
Deadline for manuscript submissions: 31 October 2026 | Viewed by 721
Editors
Interests: sustainable design and construction management system using building information model and energy simulation model; intelligent and sustainable project management using emerging information and communication technology; decision support system to support the collaborative design process; data modeling to support reliable project planning and control; object-oriented physical modeling for integrated building performance simulation
Special Issues, Collections and Topics in MDPI journals
Interests: deep learning and machine learning models to predict the return period of multi-natural disaster; fragility analysis of properties to estimate damages; 3D laser scanner and building information modeling-aided vulnerability analysis; deformation monitoring and structural health evaluation of infrastructure facilities using SAR and GIS data
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
To implement sustainable building construction and project management successfully, building performance predictions have been one of the critical factors. Consequently, a feasible and reliable baseline should be obtained for successful construction project management through building performance predictions, especially in the design stage. On the other hand, the construction industry has been looking forward to adopting innovative technologies such as Industry 4.0 technologies involving Building Information Modeling, artificial intelligence, smart construction, simulation-based construction scheduling and virtual construction and so on. In these circumstances, research on the state-of-the-art technique to predict reliable building performance has been conducted; however, there are still emerging inquiries to enhance the construction performance predictions.
More research on this topic can be found in the first Special Issue.
https://www.mdpi.com/journal/buildings/special_issues/XE1EU55S1P
The primary objective of this 2nd Special Issue is to solicit original theoretical, methodological and empirical research papers focusing on the techniques to support building performance predictions, with specific topics that can be, but are not limited to, sustainable construction methods and technologies, digital twins in the construction industry, artificial intelligence in scheduling, simulation-based methods for construction scheduling and virtual construction.
Dr. Woon Seong Jeong
Prof. Dr. Sang-Guk Yum
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 250 words) can be sent to the Editorial Office for assessment.
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-anonymized 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 design
- construction processes
- construction management
- building information modeling
- off-site construction
- modular construction
- design for manufacturing and assembly
- sustainable construction methods and technologies
- digital twins in the construction industry
- artificial intelligence in scheduling
- simulation-based methods for construction scheduling and virtual construction
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