HBIM and Information Systems for Cultural Heritage Memory and Preservation
A special issue of Heritage (ISSN 2571-9408).
Deadline for manuscript submissions: 30 June 2025 | Viewed by 2198
Special Issue Editors
Interests: architectural representation; HBIM; data modelling; 3D modelling; knowledge representation systems; CIDOC-CRM; extended reality for CH and museums
Interests: architectural heritage restoration and maintenance; state of conservation diagnosis; masonry structures diagnosis and strengthening; architectural history; landscape enhancement
Interests: renovation and management of built heritage; digitalization of existing buildings building digital twins; building performance assessment and simulation; construction history; historic construction techniques
Special Issue Information
Dear Colleagues,
Building Information Modelling for Architectural Heritage (HBIM) is becoming the standard in historic building preservation. It organises metric data and collects diverse n-dimensional layers of information.
HBIM methodologies and processes refer to information systems that manage heterogeneous data. This approach comes from the already established methods of Building Information Modelling (BIM), and it is enriched in the case of built heritage by diverse, complementary, and multidisciplinary actors. The complexity of this diverse knowledge is becoming increasingly challenging to manage due to the limited implementation possibilities offered by information systems underlying the most common BIM software. This requires novel advancements and solutions for data and 3D data structures, including semantics and standards for effective HBIM interoperability. Despite this, HBIM processes are increasingly becoming an expression of the digital transition affecting architectural heritage and, in a broader sense, our cultural heritage.
HBIM tools combine structured 3D data and information to describe architectural heritage in a comprehensive database where HBIM models become knowledge representation systems. Despite the widespread use of HBIM tools to provide memories and digital replicas of our common heritage, implementing BIM in Heritage (HBIM) still has its unsolved challenges. Shared guidelines and standardised procedures are still far from being addressed.
Diverse disciplines with different technologies and objectives address the themes of accuracy, reliability, and uncertainty of HBIM models and libraries. These approaches also include novel computational methods in synergy with visual programming tools.
Thanks to HBIM, the themes of preventive intervention, maintenance, and restoration became an integrated and planned investigation methodology that safeguards architectural and cultural heritage more efficiently than traditional methods.
Themes of diagnosis, monitoring, and economic planning address the process of preserving architectural heritage with systems that should be user-friendly, easily accessible, and updatable for all professionals involved in the management of historical and archaeological buildings.
This Special Issue aims to present new methodological advancements and applicative scenarios in using HBIM from an interdisciplinary and multidisciplinary perspective. These approaches can include HBIM methodologies for the memory and valorisation of historical knowledge and protocols for integrated management and preservation actions.
We welcome both practical and theoretical contributions from a wide range of fields, including 3D data and semantics, heritage management, archaeology, architecture, and tourism studies. We suggest the following thematic lines, although we invite authors to combine them or propose other topics.
Documentation and representation:
- 3D data, semantics and standards;
- Historical data collection and visualisation;
- Integrated survey techniques and scan-to-BIM;
- Public awareness and knowledge dissemination.
Preventive conservation:
- Decay process diagnosis and modelling;
- Restoration and reuse projects;
- Construction site management;
- Preventive conservation in national laws and international directives.
Monitoring and Heritage Science:
- Knowledge-based Digital Twins;
- IoT systems for monitoring and conservation;
- Deep Learning techniques for heritage data analysis;
- Predictive management of heritage buildings.
We look forward to receiving your contributions.
Dr. Elisabetta Caterina Giovannini
Dr. Virna Maria Nannei
Dr. Angelo Massafra
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. Heritage 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 1600 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
- HBIM
- architectural heritage information systems
- preventive conservation
- CH monitoring
- predictive heritage management
- digital twins
- heritage science
- 3D data and semantics
- scan-to-BIM
- knowledge base systems
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