Heritage Building Information Modelling
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Tourism, Culture, and Heritage".
Deadline for manuscript submissions: closed (1 February 2021) | Viewed by 435
Special Issue Editors
Interests: building information modelling; construction management; sustainability; cultural heritage; 3D laser scanning
Interests: building information modelling; digital twins; historical buildings modelling; Artificial Intelligence
Special Issue Information
Dear Colleagues,
Traditional techniques for recording historic structures are based on manual measurement systems using tapes and levels, manual measurement systems using optical equipment (theodolite and levels), and imaged-based systems using rectified photography or photogrammetry.
Recent developments in digital technologies have automated the processes for collecting and modelling cultural heritage information. These technologies are based on the use of lasers to determine range, digital photo modelling for supplying geometry and texture, and software platforms to compute and model virtual buildings and environments.
Furthermore, developments in analytical tools, sensors technologies and data science offer a new and innovative approach for managing and understanding the performance of historical buildings and its assets, whilst also considering the wide diversity of issues that affect heritage buildings.
Heritage Building Information Modelling (HBIM) is now proposed as a novel approach for parametric modelling and integrated process management based on the BIM philosophy. Therefore, we cordially invite researchers and practiotioners to submit papers on how HBIM helps for the following topics and beyond in cultural heritage:
- Advancing the restoration practice;
- Enhancing data capture and management for operations and maintenance;
- Improving the stakeholder engagement;
- Analysing and monitoring the energy performance;
- Automate asset management processes for heritage building owner organisations.
Prof. Dr. Yusuf Arayici
Prof. Dr. Bimal Kumar
Dr. James Charlton
Guest Editors
Manuscript Submission Information
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Keywords
- building information modelling
- cultural heritage
- smart restoration
- artificial intelligence
- immersive technologies
- facilities management
- point cloud data modelling
