Digital Twin in the AEC Industry – Advances and Challenges
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 (20 December 2023) | Viewed by 47251
Special Issue Editors
Interests: thermal comfort; building physics; indoor air quality; energy efficiency; building performance simulation; digital building twins
Special Issues, Collections and Topics in MDPI journals
Interests: building physics; building technology; energy efficiency; circular economy; indoor environmental quality; occupant behaviour; digital twins; intelligent buildings; durability
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, technology developments have created new opportunities in the architecture, engineering, and construction (AEC) industry. Recently, researchers from many fields have increased their interest in the application of a new concept, digital twins (DT). It is believed that the application of this concept in the AEC industry will lead the way to achieving construction 4.0. The main challenge of DT implementation is the ability to guarantee the capacity of the system to continuously update the digital model to ensure that it stays similar to the physical twin. Therefore, monitoring, control, simulation, and optimization will be necessary during its life cycle. This will allow the prediction of the future state of the construction, including pathologies and anomalies, allowing us to simulate and test preventive measures. However, a DT is not always a comprehensive representation of the physical model. The scope of the digital replica depends on the objectives of the developers and on the dimension of the monitoring system and the models used to create the DT. This Special Issue intends to group studies concerning digital twins during the life cycle of construction projects (design, construction, operation, and demolition/circularity) in the following sub-topics, which include but are not limited to:
- Occupant behaviour;
- Visual comfort;
- Thermal comfort;
- Acoustic comfort;
- Indoor air quality;
- Energy efficiency;
- Facilities maintenance;
- Structural health monitoring;
- Water consumption;
- Worker/user/occupantsafety.
Furthermore, we welcome studies that focus on an initial part of the digital twin that are related to the use and development of advanced methods related to artificial intelligence and data collection, analysis, and processing tools that apply to part or all of the sub-topics described above. We also welcome studies related to the conceptualization and standardization of digital twins and reviews of the current state of the art.
Dr. Pedro F. Pereira
Dr. Nuno M. M. Ramos
Guest Editors
Manuscript Submission Information
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Keywords
- digital building twin
- intelligent buildings
- building simulation
- artificial intelligence
- structural health monitoring
- facilities maintenance
- indoor environmental quality
- energy efficiency
- water consumption
- occupant behaviour
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