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Abstract
Historic structures present significant challenges for conservation and adaptive reuse, mainly when traditional documentation is inadequate and architectural geometries are complex. This thesis investigates a Scan-to-BIM workflow for the Sant’Orsola Ex-Monastero in Florence, Italy, aiming to create a comprehensive HBIM that accurately represents the monastery's intricate geometry and historical layers.
A multi-device scanning strategy was implemented using the Leica BLK360 laser scanner and Matterport Pro2 3D camera to capture detailed spatial and surface data of both the interior and exterior. The resulting point clouds were processed and registered in Autodesk ReCap to ensure precise alignment and complete coverage of the building's irregular features. Autodesk Revit was employed to develop the HBIM, utilizing parametric families, adaptive components, and mesh-based integrations to model non-standard elements like openings,vaulted ceilings, and decorative details.
The workflow was demonstrated through a case study that employed methods such as the Triple Wall Technique for layered walls, adaptive families for irregular vaults and arches, and mesh integration for detailed architectural elements. Practical challenges include scan registration, data management, and software limitations in modeling historical irregularities. The results confirm that this integrated Scan-to-HBIM framework effectively documents the monastery's as-is condition, supporting future restoration and adaptive reuse efforts.
Key findings emphasize the value of multi-device scanning and flexible, layered modeling techniques for managing complex heritage geometries. Integrating mesh-based elements proves essential for preserving intricate details without compromising model performance, though challenges persist in fully capturing structural connections and roof geometry. This thesis offers a replicable Scan-to-HBIM methodology, advancing heritage conservation and digital documentation practices.
Abstract
Historic structures present significant challenges for conservation and adaptive reuse, mainly when traditional documentation is inadequate and architectural geometries are complex. This thesis investigates a Scan-to-BIM workflow for the Sant’Orsola Ex-Monastero in Florence, Italy, aiming to create a comprehensive HBIM that accurately represents the monastery's intricate geometry and historical layers.
A multi-device scanning strategy was implemented using the Leica BLK360 laser scanner and Matterport Pro2 3D camera to capture detailed spatial and surface data of both the interior and exterior. The resulting point clouds were processed and registered in Autodesk ReCap to ensure precise alignment and complete coverage of the building's irregular features. Autodesk Revit was employed to develop the HBIM, utilizing parametric families, adaptive components, and mesh-based integrations to model non-standard elements like openings,vaulted ceilings, and decorative details.
The workflow was demonstrated through a case study that employed methods such as the Triple Wall Technique for layered walls, adaptive families for irregular vaults and arches, and mesh integration for detailed architectural elements. Practical challenges include scan registration, data management, and software limitations in modeling historical irregularities. The results confirm that this integrated Scan-to-HBIM framework effectively documents the monastery's as-is condition, supporting future restoration and adaptive reuse efforts.
Key findings emphasize the value of multi-device scanning and flexible, layered modeling techniques for managing complex heritage geometries. Integrating mesh-based elements proves essential for preserving intricate details without compromising model performance, though challenges persist in fully capturing structural connections and roof geometry. This thesis offers a replicable Scan-to-HBIM methodology, advancing heritage conservation and digital documentation practices.
Tipologia del documento
Tesi di laurea
(Laurea magistrale)
Autore della tesi
Ghahari, Milad
Relatore della tesi
Correlatore della tesi
Scuola
Corso di studio
Indirizzo
Historic buildings rehabilitation
Ordinamento Cds
DM270
Parole chiave
Scan-to-BIM,HBIM,Heritage Conservation,Parametric Modeling,Adaptive Modeling,Mesh Integration,Sant’Orsola Ex-Monastero,Geomatics
Data di discussione della Tesi
4 Febbraio 2025
URI
Altri metadati
Tipologia del documento
Tesi di laurea
(NON SPECIFICATO)
Autore della tesi
Ghahari, Milad
Relatore della tesi
Correlatore della tesi
Scuola
Corso di studio
Indirizzo
Historic buildings rehabilitation
Ordinamento Cds
DM270
Parole chiave
Scan-to-BIM,HBIM,Heritage Conservation,Parametric Modeling,Adaptive Modeling,Mesh Integration,Sant’Orsola Ex-Monastero,Geomatics
Data di discussione della Tesi
4 Febbraio 2025
URI
Gestione del documento: