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FAUST - Simulation during construction
Integrating progress tracking and process simulation for improved prognoses of inner-city engineering projects
| Project team leader | André Borrmann |
| PhD students | Maximilian Bügler M.Sc. |
| Dipl.-Ing. Gergö Dori | |
| Funding | Bavarian Reserach Foundation |
| Research partners | Institute for Materials Handling, Material Flow, Logistics (fml) |
| Industrial partners | BAUER AG |
| illustrated architecture | |
| Max Bögl Bauservice GmbH & Co. KG | |
| OBERMEYER Planen + Beraten GmbH | |
| PPI-Informatik GmbH | |
| RIB Information Technologies AG | |
| Siemens AG | |
| SSF-Ingenieure AG | |
| Related projects | ForBAU - The Virtual Construction Site |
Project description
The progress of construction sites is in many cases unexpectedly delayed by external influences, for instance weather, changes in the client's wishes or problems with residents. This may cause changes in the construction cycle. The detailed initial plans become invalid and it is required to immediately develop new plans taking the new circumstances into account.
Therefore this project will create the possibility to support this planning effort by a simulation of the progress of urban underground construction sites. This will provide a better knowledge base aiding the planning decissions. Compared to a-priori simulations it is required to capture the current state of the construction process. Furthermore the local cirumstances, like availibility of ressources, time and space, need to be taken into account. In order to be able to communicate the results of the simulations to everyone involved and detect possible planning errors, an additional mobile virtual reality (VR) system will be developed to visualize parts of the 4D-process. This research project is aiming to support urban underground construction projects by using innovative technologies and adapting the construction plan based on data obtained from the current state of the site.
Videos
Calculation of excavated volume using photogrammetry.
Calculation of excavated volume using photogrammetry while using video cameras to determine causes for delays.