CBIM Context, Training and Research

CBIM Context, Training and Research

Building Information Modelling (BIM) can provide the context for representing infrastructure assets, including buildings, as digital twins. However, the way BIM is currently understood and used by AEC/FM sector professionals is severely constrained by the narrow view imposed by commercial imperatives and the extent of current imagination. The idea that BIM models can be thoroughly verified through engineering analyses and operational performance simulations before construction, and thus provide the AEC/FM sector – which has never enjoyed the benefits of rigorous prototyping – with rich virtual counterparts, is barely understood. The notion of compiling multi-dimensional models that can support the entire asset lifecycle, and that such models can be mined for data and used for machine-learning, requires a leap of imagination. As a product, CBIM is the rich digital repository of the physical and functional data that describe and define the built facilities across a region, situated in the cloud and available to the various stakeholders – this is the proverbial ‘Digital Twin’. As a process, CBIM involves the generation, management and exploitation of the CBIM product to serve the stakeholders’ needs during design, construction, and operation

14 Early Stage Researchers (ESR) will be employed in the CBIM ITN Project. Each ESR will receive comprehensive and multi-faceted training in general and transferable skills, scientific know-how and technical skills by the CBIM joint training programmes that share human and material resources from seven European countries, Israel and the United States. The European partners of CBIM are worldwide leaders in their respective research fields and have immense experience in supervising PhD students coming from different background and countries. This will ensure top-quality supervision at the hosts’ institutes for the ESRs with solid scientific and research pre-requisites. All ESR programmes involve multidisciplinary secondments in both academic and non-academic sectors.

 

Research topics under CBIM, wrapped up in seven work packages, span from development and implementation of new geometry generation infrastructures based on disruptive technologies, through to data fusion for the enrichment of CBIM geometry to support CBIM process and data management.