Thiele, Christian-Dominik ; Huyeng, Tim-Jonathan ; Mosler, Pascal ; Rüppel, Uwe
Hrsg.: 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 (30.06.2021-02.07.2021)
doi: 10.14279/depositonce-12021
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (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.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2021 |
| Herausgeber: | Abualdenien, Jimmy ; Borrmann, André ; Ungureanu, Lucian-Constantin ; Hartmann, Timo |
| Autor(en): | Thiele, Christian-Dominik ; Huyeng, Tim-Jonathan ; Mosler, Pascal ; Rüppel, Uwe |
| Art des Eintrags: | Bibliographie |
| Titel: | Concept to Support the Estimation of Static Load Capacity on Construction Sites Using In-Situ AR-Based Methods |
| Sprache: | Englisch |
| Publikationsjahr: | 6 August 2021 |
| Ort: | Berlin |
| Verlag: | Universitätsverlag der TU Berlin |
| Buchtitel: | EG-ICE 2021 Workshop on Intelligent Computing in Engineering |
| Veranstaltungstitel: | EG-ICE 2021 Workshop on Intelligent Computing in Engineering |
| Veranstaltungsort: | Berlin, Online |
| Veranstaltungsdatum: | 30.06.2021-02.07.2021 |
| DOI: | 10.14279/depositonce-12021 |
| URL / URN: | http://dx.doi.org/10.14279/depositonce-12021 |
| Kurzbeschreibung (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. |
| Freie Schlagworte: | advanced computing, AR, BIM, advanced computing in engineering |
| Fachbereich(e)/-gebiet(e): | 13 Fachbereich Bau- und Umweltingenieurwissenschaften 13 Fachbereich Bau- und Umweltingenieurwissenschaften > Institut für Numerische Methoden und Informatik im Bauwesen |
| Hinterlegungsdatum: | 10 Aug 2021 15:26 |
| Letzte Änderung: | 10 Aug 2021 15:26 |
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