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Funding for DFG-Project EarlyBIM 2 extended

24.07.2020

The project EarlyBIM 2: Evaluation of building design variants in early design phases based on adaptive detailing strategies (FOR 2363) is further supported by the DFG. The spokesperson of the project is the holder of the Chair for Computing in Engineering, Prof. Dr.-Ing. Markus König.

EarlyBIM 2 is concerned with the development of new methods to demonstrate the potential of model-based and simulation-based design planning and the possibilities of its technical implementation, especially in early design phases.

In addition to the RUB Chair for Computing in Engineering, the research group consists of 5 project partners (LS for Computer-aided Modeling and Simulation, TU Munich; LS for Architecture Informatics, TU Munich; LS for Energy-efficient and Sustainable Planning and Construction, TU Munich; Department of Digital Architecture and Sustainability , Institute of Architecture, TU Berlin; Institute of Solid Construction, University of Duisburg-Essen.

The project relies on methods such as graph theory, case-based closing, machine learning and knowledge-based systems, which are further developed across the various sub-projects.

Further information can be found here.

The project EarlyBIM 2: Evaluation of building design variants in early design phases based on adaptive detailing strategies (FOR 2363) is further supported by the DFG. The spokesperson of the project is the holder of the Chair for Computing in Engineering, Prof. Dr.-Ing. Markus König.

EarlyBIM 2 is concerned with the development of new methods to demonstrate the potential of model-based and simulation-based design planning and the possibilities of its technical implementation, especially in early design phases.

In addition to the RUB Chair for Computing in Engineering, the research group consists of 5 project partners (LS for Computer-aided Modeling and Simulation, TU Munich; LS for Architecture Informatics, TU Munich; LS for Energy-efficient and Sustainable Planning and Construction, TU Munich; Department of Digital Architecture and Sustainability , Institute of Architecture, TU Berlin; Institute of Solid Construction, University of Duisburg-Essen.

The project relies on methods such as graph theory, case-based closing, machine learning and knowledge-based systems, which are further developed across the various sub-projects.

Further information can be found here.