Architecture, Engineering, and Construction (AEC) projects require multi-disciplinary solutions, making the AEC industry fragmented. In a co-design approach, data from disciplines must be integrated and interoperable. In current practice, interoperability problems between different software often hinder this integration. This project aims to develop a novel, knowledge-driven framework and design methodology supported by reasoning methods that allow for constraint-checking and other design process support over a closed co-design loop, including architectural design, structural design, building physics-acoustics, and prefabrication of building parts. It employs the cluster of excellence as a model for multi-disciplinary co-design processes to rethink data and knowledge representation.

Further information at IntCDC.