Academic Journal
Scan-to-BrIM Workflow for High-Detail Parametric Modelling of a Steel Pedestrian Structure from Point Clouds.
| Τίτλος: | Scan-to-BrIM Workflow for High-Detail Parametric Modelling of a Steel Pedestrian Structure from Point Clouds. |
|---|---|
| Συγγραφείς: | Pepe, Massimiliano, Palumbo, Donato, Restuccia Garofalo, Alfredo, Alfio, Vincenzo Saverio, Dewedar, Ahmed Kamal Hamed, Caroprese, Luciano, Cantagallo, Cristina, Crisan, Andrei, Costantino, Domenica |
| Πηγή: | Buildings (2075-5309); May2026, Vol. 16 Issue 9, p1838, 37p |
| Θεματικοί όροι: | Point cloud, Parametric modeling, Three-dimensional modeling, Finite element method, Python programming language, Footbridges |
| Περίληψη: | This paper presents a computationally feasible/time-effective Scan-to-BrIM workflow for generating a highly detailed digital model of a complex steel pedestrian bridge. The proposed methodology integrates rapid and accurate point cloud acquisition with advanced parametric modelling and structural information management. First, a high-resolution point cloud is produced using a fast survey strategy that ensures the geometric precision required for a faithful representation of the existing structure. Second, the point cloud is processed in Rhinoceros/Grasshopper, where a custom Python (version 3.13) algorithm automatically detects and generates reference planes containing the structural components, enabling the creation of a consistent and fully parametric BrIM model. The latter approach includes metric normalization, voxel-based downsampling, reliable under tested conditions ground and outlier removal, and PCA (Principal Component Analysis)-based reorientation, followed by guided slicing of the point cloud and projection of each slice onto its section plane. The proposed workflow achieved a geometric RMSE of 2.5 mm with a total processing time of 7.3 h. The resulting parametric model achieves geometric consistency with the source point cloud within an operational tolerance range of approximately 5–10 mm, in line with the requirements of structural applications. Finally, the model is organised and managed within the BrIM environment and then transferred to a downstream FEM environment for preliminary structural application. The workflow is tested on a case study of a 40-m steel pedestrian bridge located in central Italy. Results demonstrate that the integrated approach provides a reproducible and semi-automated solution that reduces manual intervention in Scan-to-BrIM processes for producing accurate parametric models of steel pedestrian bridges, supporting structural assessment, asset management, and future maintenance strategies. [ABSTRACT FROM AUTHOR] |
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| Βάση Δεδομένων: | Complementary Index |
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| Header | DbId: edb DbLabel: Complementary Index An: 193717141 RelevancyScore: 1061 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 1060.76245117188 |
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| Items | – Name: Title Label: Title Group: Ti Data: Scan-to-BrIM Workflow for High-Detail Parametric Modelling of a Steel Pedestrian Structure from Point Clouds. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Pepe%2C+Massimiliano%22">Pepe, Massimiliano</searchLink><br /><searchLink fieldCode="AR" term="%22Palumbo%2C+Donato%22">Palumbo, Donato</searchLink><br /><searchLink fieldCode="AR" term="%22Restuccia+Garofalo%2C+Alfredo%22">Restuccia Garofalo, Alfredo</searchLink><br /><searchLink fieldCode="AR" term="%22Alfio%2C+Vincenzo+Saverio%22">Alfio, Vincenzo Saverio</searchLink><br /><searchLink fieldCode="AR" term="%22Dewedar%2C+Ahmed+Kamal+Hamed%22">Dewedar, Ahmed Kamal Hamed</searchLink><br /><searchLink fieldCode="AR" term="%22Caroprese%2C+Luciano%22">Caroprese, Luciano</searchLink><br /><searchLink fieldCode="AR" term="%22Cantagallo%2C+Cristina%22">Cantagallo, Cristina</searchLink><br /><searchLink fieldCode="AR" term="%22Crisan%2C+Andrei%22">Crisan, Andrei</searchLink><br /><searchLink fieldCode="AR" term="%22Costantino%2C+Domenica%22">Costantino, Domenica</searchLink> – Name: TitleSource Label: Source Group: Src Data: Buildings (2075-5309); May2026, Vol. 16 Issue 9, p1838, 37p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Point+cloud%22">Point cloud</searchLink><br /><searchLink fieldCode="DE" term="%22Parametric+modeling%22">Parametric modeling</searchLink><br /><searchLink fieldCode="DE" term="%22Three-dimensional+modeling%22">Three-dimensional modeling</searchLink><br /><searchLink fieldCode="DE" term="%22Finite+element+method%22">Finite element method</searchLink><br /><searchLink fieldCode="DE" term="%22Python+programming+language%22">Python programming language</searchLink><br /><searchLink fieldCode="DE" term="%22Footbridges%22">Footbridges</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This paper presents a computationally feasible/time-effective Scan-to-BrIM workflow for generating a highly detailed digital model of a complex steel pedestrian bridge. The proposed methodology integrates rapid and accurate point cloud acquisition with advanced parametric modelling and structural information management. First, a high-resolution point cloud is produced using a fast survey strategy that ensures the geometric precision required for a faithful representation of the existing structure. Second, the point cloud is processed in Rhinoceros/Grasshopper, where a custom Python (version 3.13) algorithm automatically detects and generates reference planes containing the structural components, enabling the creation of a consistent and fully parametric BrIM model. The latter approach includes metric normalization, voxel-based downsampling, reliable under tested conditions ground and outlier removal, and PCA (Principal Component Analysis)-based reorientation, followed by guided slicing of the point cloud and projection of each slice onto its section plane. The proposed workflow achieved a geometric RMSE of 2.5 mm with a total processing time of 7.3 h. The resulting parametric model achieves geometric consistency with the source point cloud within an operational tolerance range of approximately 5–10 mm, in line with the requirements of structural applications. Finally, the model is organised and managed within the BrIM environment and then transferred to a downstream FEM environment for preliminary structural application. The workflow is tested on a case study of a 40-m steel pedestrian bridge located in central Italy. Results demonstrate that the integrated approach provides a reproducible and semi-automated solution that reduces manual intervention in Scan-to-BrIM processes for producing accurate parametric models of steel pedestrian bridges, supporting structural assessment, asset management, and future maintenance strategies. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Buildings (2075-5309) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/buildings16091838 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 37 StartPage: 1838 Subjects: – SubjectFull: Point cloud Type: general – SubjectFull: Parametric modeling Type: general – SubjectFull: Three-dimensional modeling Type: general – SubjectFull: Finite element method Type: general – SubjectFull: Python programming language Type: general – SubjectFull: Footbridges Type: general Titles: – TitleFull: Scan-to-BrIM Workflow for High-Detail Parametric Modelling of a Steel Pedestrian Structure from Point Clouds. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Pepe, Massimiliano – PersonEntity: Name: NameFull: Palumbo, Donato – PersonEntity: Name: NameFull: Restuccia Garofalo, Alfredo – PersonEntity: Name: NameFull: Alfio, Vincenzo Saverio – PersonEntity: Name: NameFull: Dewedar, Ahmed Kamal Hamed – PersonEntity: Name: NameFull: Caroprese, Luciano – PersonEntity: Name: NameFull: Cantagallo, Cristina – PersonEntity: Name: NameFull: Crisan, Andrei – PersonEntity: Name: NameFull: Costantino, Domenica IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20755309 Numbering: – Type: volume Value: 16 – Type: issue Value: 9 Titles: – TitleFull: Buildings (2075-5309) Type: main |
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