The vision of the Cluster of Excellence Integrative Computational Design and Construction for Architecture (EXC IntCDC) is to harness the full potential of digital technologies in order to rethink design, fabrication and construction based on integration and interdisciplinarity, with the goal of enabling game-changing innovation in the building sector as it can only occur through highly integrative fundamental research in an interdisciplinary, large-scale research undertaking.

The Cluster aims to lay the methodological foundations for a profound rethinking of the design and building process and related building systems by adopting an integrative computational approach based on interdisciplinary research encompassing architecture, structural engineering, building physics, engineering geodesy, manufacturing and system engineering, computer science and robotics, social sciences and humanities. We aim to bundle the internationally recognised competencies in these fields of the University of Stuttgart and the Max Planck Institute for Intelligent Systems to accomplish our research mission.

The Cluster’s Industry Consortium will ensure direct knowledge exchange, transfer and rapid impact. Taking into account the significant difference between the building industry and other industries, we will tackle the related key challenges of achieving a higher level of integration, performance and adaptability, and we will address the most important building typologies of multi-storey buildings, long-span buildings, and the densification of urban areas.

The Cluster’s broad methodological insights and interdisciplinary findings are expected to result in comprehensive approaches to harnessing digital technologies, which will help to address the ecological, economic and social challenges that current incremental approaches cannot solve.

We envision IntCDC to significantly shape the future of architecture and the building industry through a higher-level integration of computational design and engineering methods, effective cyber-physical (tightly interlinked computational and material) robotic construction processes and new forms of human-machine collaboration, efficient and sustainable next-generation building systems, and socio-cultural and ethical reflection. Thus, the Cluster will have significant impact on creating the conditions required for a liveable and sustainable future built environment, high-quality yet affordable architecture and a novel digital building culture.
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Tabular Data - 173.2 KB - 8 Variables, 2997 Observations - UNF:6:YrQA6fMykIIU96dK6h1Zuw==
Tabular Data - 17.6 MB - 16 Variables, 100000 Observations - UNF:6:DDP2D+VUmiEPhglt9myUFw==
Tabular Data - 14.7 MB - 16 Variables, 100000 Observations - UNF:6:xqTQ0GNSmewznqJdHQkpOg==
Data set with curvature optimized geometry parameters for linear-linear transitions for polynomial smoothing with 4th order polynomial splines.
Tabular Data - 361.2 KB - 7 Variables, 3167 Observations - UNF:6:kGNUeLPy6hKjio5kVCaDXw==
Tabular Data - 373.2 KB - 7 Variables, 3272 Observations - UNF:6:LpJ2cJhZDfcE+CTFQ/avfA==
Tabular Data - 341.9 KB - 7 Variables, 2997 Observations - UNF:6:2JIQ5nv1X4RHGILyQF5Mwg==
EXC IntCDC Research Project 5 'Reconfiguration of Training, Skills and Digital Literacy'(University of Stuttgart, Max Planck Institute for Intelligent Systems)
EXC IntCDC Research Project 5 'Reconfiguration of Training, Skills and Digital Literacy' logo
Aug 17, 2021
RP5-1: Reconfiguration of training, skills and digital literacy in the context of IntCDC’s cyber-physical prefabrication platforms.
EXC IntCDC Research Project 3 'Co-Design of Multi-Storey Timber Building Systems for Building Stock Extension' logo
Feb 23, 2021
RP3-1: Computational design, engineering and development of digitally fabricated multi-storey wood building system. RP3-2: Co-design, adaptation, integration and optimization of multi-storey timber building systems for building stock extension.
Adobe PDF - 21.9 KB - MD5: 1003c3a2916e0d9167b9c6199b04970b
Detail of the placement of strain gauges for configurations A and B on the bottom plate, i.e. region subjected to tensile stresses.
Adobe PDF - 36.9 KB - MD5: 8886062d692a247b86628a1502e9a2e9
Detail of the placement of strain gauges for configuration A on the top plate, i.e. region subjected to compressive stresses.
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