SURVEY, HBIM AND CONSERVATION PLAN OF A MONUMENTAL BUILDING DAMAGED BY EARTHQUAKE

22 citations as recorded by crossref.

1. A Technological Prospect for a Diagnostic Model in HBIM F. Silva et al. https://doi.org/10.1145/3526091
2. Post-earthquake damage assessment of a historic masonry fortress: Ravanda castle after the 2023 Kahramanmaraş earthquakes M. Nasery et al. https://doi.org/10.1016/j.cscm.2026.e06149
3. A Systematic Literature Review to Assist in Defining New Guidelines and Practical Handbooks for the Documentation of Built Heritage L. Teppati Losè & F. Rinaudo https://doi.org/10.3390/heritage8070249
4. HBIM e mapa de danos F. Silva & A. Cuperschmid https://doi.org/10.20396/parc.v13i00.8663653
5. UNDERSTANDING THE STRUCTURAL BEHAVIOR OF HISTORICAL BUILDINGS THROUGH ITS CONSTRUCTIVE PHASE EVOLUTION USING H-BIM WORKFLOW A. Calì et al. https://doi.org/10.3846/jcem.2020.12612
6. Point Cloud Semantic Segmentation Using a Deep Learning Framework for Cultural Heritage R. Pierdicca et al. https://doi.org/10.3390/rs12061005
7. Integration, harmonization, and processing of geomatic data for bridge health assessment: the Lastra a Signa case study F. Mugnai et al. https://doi.org/10.1007/s12518-023-00510-1
8. Original or post-war paintings? The fixed wooden scenery of the Teatro Olimpico in Vicenza: a guided multidisciplinary approach based on scientific analyses and HBIM F. Antonelli et al. https://doi.org/10.1186/s40494-024-01307-0
9. Reframing the “H” in HBIM: from systematic review to UML-based conceptual modeling Y. Yu et al. https://doi.org/10.1016/j.foar.2026.02.007
10. Remote Diagnosis of Architectural Heritage Based on 5W1H Model-Based Metadata in Virtual Reality J. Lee et al. https://doi.org/10.3390/ijgi8080339
11. On the interoperability performance of HBIM models for structural conservation and upgrading of building aggregates in the Italian minor centres A. Marra et al. https://doi.org/10.4995/vitruvio-ijats.2023.18856
12. From the Semantic Point Cloud to Heritage-Building Information Modeling: A Semiautomatic Approach Exploiting Machine Learning V. Croce et al. https://doi.org/10.3390/rs13030461
13. Development of historic building information modelling: a systematic literature review S. Bastem & A. Cekmis https://doi.org/10.1080/09613218.2021.1983754
14. On the interoperability performance of HBIM models for structural conservation and upgrading of building aggregates in the Italian minor centres A. Marra et al. https://doi.org/10.4995/vitruvioijats.2023.18856
15. The Principles of Design for Vulnerable Communities: A Research by Design Approach Overrunning the Disciplinary Boundaries E. Giorgi et al. https://doi.org/10.3390/buildings12111789
16. Parameter optimization for creating reliable photogrammetric models in emergency scenarios S. Gagliolo et al. https://doi.org/10.1007/s12518-018-0224-4
17. Recording of Historic Buildings and Monuments for FEA: Current Practices and Future Directions F. Turchetti et al. https://doi.org/10.3390/heritage8020055
18. BIM goals and uses in the management, maintenance, and preservation of historic buildings: an open access perspective. Implementation characteristics of HBIM for improved documentation and lifecycle management B. Siewczyński & . Jan Szot https://doi.org/10.1038/s40494-025-01588-z
19. Unloading and Reloading Process for the Earthquake Damage Repair of Ancient Masonry Columns: The Case of the Basilica di Collemaggio A. Franchi et al. https://doi.org/10.1080/15583058.2021.1904056
20. Using 3D Spatial Visualisation to Interpret the Coverage of Anti-Aircraft Batteries on a World War II Battlefield D. Spennemann & C. Poynter https://doi.org/10.3390/heritage2030151
21. DIGITALESCAPE Project—Aerial Remote Sensing, HBIM, and Archaeology for the Preservation and Dissemination of the Cultural Heritage at Risk in the Sierra Sur and Sierra Morena Regions A. Ortiz Villarejo & J. Delgado Barrado https://doi.org/10.3390/rs15133315
22. Energy and environmental improvement of built heritage: HBIM simulation-based approach applied to nine Mediterranean case-studies F. Calcerano et al. https://doi.org/10.1080/09613218.2023.2204417