Research Networks

EXC 2120 IntCDC

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The Cluster’s Research Networks (RNs) facilitate productive research by grouping related projects and researchers to work under one theme, addressing a shared key challenge and moving towards a common goal and a joint building demonstrator. In other words, they constitute thematic co-design networks that address overarching key research challenges in an interdisciplinary manner, and also ensure that the work is relevant for the most important architectural applications. In this way, the RNs seek highly interdisciplinary insights for IntCDC, while also pursuing domain-specific, fundamental research advancement. They are flexible instruments for achieving our objective of establishing an overarching methodology of co-design through an inductive approach.

 
RESEARCH NETWORK 1

Research Network 1 addresses the Co-Design-based development of methods, processes and systems for multi-storey buildings, such as residential and office buildings, and poses the challenge of a high level of integration required in this context. Thus, we will frame the methods’ development of explorative design, optimisation and analyses, visualisation and data integration through the particular challenges associated with this field of architectural application, which include divergent design drivers, multidimensional optimisation parameters and related multifaceted stakeholders. Also considering the interrelation between spatial and constructional ordering systems, structural and buildings physics performance, and environmental and economic demands in this field.

 

 

RESEARCH NETWORK 2

Research Network 2 focuses on long-span buildings, such as large public, cultural, sports and infrastructural buildings. It serves as a challenge for a high level of performance, as structural and material efficiency plays a decisive role for economic feasibility, environmental impact and architectural articulation of long-span building systems. Therefore, the aim is to directly interlink explorative computational design methods with computational optimisation, of both highperformance building systems and their efficient construction through transient 4D (spatial dimensions combined with time) modelling, and artificial intelligence approaches, which embed the specific capability of advanced fabrication and material technology for multi-scale adaptation to forces.

 

 

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