3D dataset of a twisted bending-active beam element digitized using structure-from-motion photogrammetry
The current work presents the generation of a comprehensive spatial dataset of a lightweight beam element composed of four twisted plywood strips, achieved through the application of Structure-from-Motion (SfM) - Multi-view Stereo (MVS) photogrammetry techniques in controlled laboratory conditions....
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-06-01
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| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340924002233 |
| _version_ | 1797265565158473728 |
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| author | Mateusz Janiszewski Serenay Elmas Athanasios A. Markou Joonas Jaaranen Günther H. Filz |
| author_facet | Mateusz Janiszewski Serenay Elmas Athanasios A. Markou Joonas Jaaranen Günther H. Filz |
| author_sort | Mateusz Janiszewski |
| collection | DOAJ |
| description | The current work presents the generation of a comprehensive spatial dataset of a lightweight beam element composed of four twisted plywood strips, achieved through the application of Structure-from-Motion (SfM) - Multi-view Stereo (MVS) photogrammetry techniques in controlled laboratory conditions. The data collection process was meticulously conducted to ensure accuracy and precision, employing scale bars of varying lengths. The captured images were then processed using photogrammetric software, leading to the creation of point clouds, meshes, and texture files. These data files represent the 3D model of the beam at different mesh sizes (raw, high-poly, medium-poly, and low-poly), adding a high level of detail to the 3D visualization. The dataset holds significant reuse potential and offers essential resources for further studies in numerical modeling, simulations of complex structures, and training machine learning algorithms. This data can also serve as validation sets for emerging photogrammetry methods and form-finding techniques, especially ones involving large deformations and geometric nonlinearities, particularly within the structural engineering field. |
| first_indexed | 2024-04-25T00:46:49Z |
| format | Article |
| id | doaj.art-d6a048922d4b4819854853621d398d85 |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-04-25T00:46:49Z |
| publishDate | 2024-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-d6a048922d4b4819854853621d398d852024-03-12T04:16:26ZengElsevierData in Brief2352-34092024-06-01541102543D dataset of a twisted bending-active beam element digitized using structure-from-motion photogrammetryMateusz Janiszewski0Serenay Elmas1Athanasios A. Markou2Joonas Jaaranen3Günther H. Filz4Department of Civil Engineering, School of Engineering, Aalto University, Finland; Corresponding author.Department of Civil Engineering, School of Engineering, Aalto University, Finland; Department of Architecture, School of Arts, Aalto University, FinlandDepartment of Civil Engineering, School of Engineering, Aalto University, FinlandDepartment of Civil Engineering, School of Engineering, Aalto University, FinlandDepartment of Civil Engineering, School of Engineering, Aalto University, Finland; Department of Architecture, School of Arts, Aalto University, Finland; Lightweight Structures Unit (LSU), Faculty of Architecture, Universität Innsbruck, AustriaThe current work presents the generation of a comprehensive spatial dataset of a lightweight beam element composed of four twisted plywood strips, achieved through the application of Structure-from-Motion (SfM) - Multi-view Stereo (MVS) photogrammetry techniques in controlled laboratory conditions. The data collection process was meticulously conducted to ensure accuracy and precision, employing scale bars of varying lengths. The captured images were then processed using photogrammetric software, leading to the creation of point clouds, meshes, and texture files. These data files represent the 3D model of the beam at different mesh sizes (raw, high-poly, medium-poly, and low-poly), adding a high level of detail to the 3D visualization. The dataset holds significant reuse potential and offers essential resources for further studies in numerical modeling, simulations of complex structures, and training machine learning algorithms. This data can also serve as validation sets for emerging photogrammetry methods and form-finding techniques, especially ones involving large deformations and geometric nonlinearities, particularly within the structural engineering field.http://www.sciencedirect.com/science/article/pii/S2352340924002233Digitization3D reconstructionPlywoodBending-activeLarge deformationData processing |
| spellingShingle | Mateusz Janiszewski Serenay Elmas Athanasios A. Markou Joonas Jaaranen Günther H. Filz 3D dataset of a twisted bending-active beam element digitized using structure-from-motion photogrammetry Data in Brief Digitization 3D reconstruction Plywood Bending-active Large deformation Data processing |
| title | 3D dataset of a twisted bending-active beam element digitized using structure-from-motion photogrammetry |
| title_full | 3D dataset of a twisted bending-active beam element digitized using structure-from-motion photogrammetry |
| title_fullStr | 3D dataset of a twisted bending-active beam element digitized using structure-from-motion photogrammetry |
| title_full_unstemmed | 3D dataset of a twisted bending-active beam element digitized using structure-from-motion photogrammetry |
| title_short | 3D dataset of a twisted bending-active beam element digitized using structure-from-motion photogrammetry |
| title_sort | 3d dataset of a twisted bending active beam element digitized using structure from motion photogrammetry |
| topic | Digitization 3D reconstruction Plywood Bending-active Large deformation Data processing |
| url | http://www.sciencedirect.com/science/article/pii/S2352340924002233 |
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