Thiele, Christian-Dominik ; Huyeng, Tim-Jonathan ; Mosler, Pascal ; Rüppel, Uwe
eds.: Abualdenien, Jimmy ; Borrmann, André ; Ungureanu, Lucian-Constantin ; Hartmann, Timo (2021)
Concept to Support the Estimation of Static Load Capacity on Construction Sites Using In-Situ AR-Based Methods.
EG-ICE 2021 Workshop on Intelligent Computing in Engineering. Berlin, Online (30th June - Friday, 2nd July)
doi: 10.14279/depositonce-12021
Conference or Workshop Item
Abstract
Due to the advancing digitization in the AEC industry (Architecture, Engineering and Construction), existing workflows are undergoing a transformation towards modern work patterns. In particular, there is potential for optimization in the area of building in existing structures. For example, the on-site capture of a comprehensive model in the context of Historic Building Information Modeling (HBIM) and especially of building elements can be supported by modern technologies. This paper uses an exemplary use case to demonstrate how such transformation from a traditional to a modern, digitally enhanced workflow is made possible to support an engineer on- site. The use case is the evaluation of a construction state with a temporary local load increase. The traditional workflow consists of multiple manual and partially iterative steps. The proposed workflow uses advanced augmented reality (AR) technology on mobile devices as well as a self- developed Web API for an existing structural analysis software. This enables an on-site estimation of the static load capacity of a structural subsystem.
| Item Type: | Conference or Workshop Item |
|---|---|
| Erschienen: | 2021 |
| Editors: | Abualdenien, Jimmy ; Borrmann, André ; Ungureanu, Lucian-Constantin ; Hartmann, Timo |
| Creators: | Thiele, Christian-Dominik ; Huyeng, Tim-Jonathan ; Mosler, Pascal ; Rüppel, Uwe |
| Type of entry: | Bibliographie |
| Title: | Concept to Support the Estimation of Static Load Capacity on Construction Sites Using In-Situ AR-Based Methods |
| Language: | English |
| Date: | 6 August 2021 |
| Place of Publication: | Berlin |
| Publisher: | Universitätsverlag der TU Berlin |
| Book Title: | EG-ICE 2021 Workshop on Intelligent Computing in Engineering |
| Event Title: | EG-ICE 2021 Workshop on Intelligent Computing in Engineering |
| Event Location: | Berlin, Online |
| Event Dates: | 30th June - Friday, 2nd July |
| DOI: | 10.14279/depositonce-12021 |
| URL / URN: | http://dx.doi.org/10.14279/depositonce-12021 |
| Abstract: | Due to the advancing digitization in the AEC industry (Architecture, Engineering and Construction), existing workflows are undergoing a transformation towards modern work patterns. In particular, there is potential for optimization in the area of building in existing structures. For example, the on-site capture of a comprehensive model in the context of Historic Building Information Modeling (HBIM) and especially of building elements can be supported by modern technologies. This paper uses an exemplary use case to demonstrate how such transformation from a traditional to a modern, digitally enhanced workflow is made possible to support an engineer on- site. The use case is the evaluation of a construction state with a temporary local load increase. The traditional workflow consists of multiple manual and partially iterative steps. The proposed workflow uses advanced augmented reality (AR) technology on mobile devices as well as a self- developed Web API for an existing structural analysis software. This enables an on-site estimation of the static load capacity of a structural subsystem. |
| Uncontrolled Keywords: | advanced computing, AR, BIM, advanced computing in engineering |
| Divisions: | 13 Department of Civil and Environmental Engineering Sciences 13 Department of Civil and Environmental Engineering Sciences > Institute of Numerical Methods and Informatics in Civil Engineering |
| Date Deposited: | 10 Aug 2021 15:26 |
| Last Modified: | 10 Aug 2021 15:26 |
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