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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Jul 17, 2025 - EXC IntCDC Research Project 3 'Co-Design of Multi-Storey Timber Building Systems for Building Stock Extension'
Müller, Theresa; Wagner, Hans Jakob; Menges, Achim; Leistner, Philip, 2025, "Replication Data for: Concept and Development of a Novel Timber Spring for Impact Sound Reduction in Timber Floor Slabs", https://doi.org/10.18419/DARUS-5110, DaRUS, V1
This repository contains the experimental data and documentation from the acoustic investigation presented in the related publication. The dataset includes small- and large-scale experimental measurements used to determine the structrual velocity characteristics and to calculate the sound reduction index (R) values and the normalized impact sound p...
Comma Separated Values - 452 B - MD5: fab6e1eae77ba5d723e90e05c8fa4472
sound pressure level measured in the source and receiving room with the tapping machine used as excitation
Comma Separated Values - 443 B - MD5: 17cecbe5cf596c78bbcc6432f4d50d93
mean value of the measured velocity on all 18 sensor positions (reference slab)
Comma Separated Values - 483 B - MD5: fdd8210c72ce230113a0a8a0ea26a6ce
sound pressure level measured in the source and receiving room (reference slab)
Comma Separated Values - 428 B - MD5: 07a65a2e49bd6542bfce3923ac2c1e99
reverberation time
Comma Separated Values - 440 B - MD5: 071cf942c207f596c98aa3b026415d5f
mean value of the measured velocity on all 18 sensor positions (slab with spring elements)
Comma Separated Values - 481 B - MD5: ea523b1190b00ed59213236f10a6ac23
sound pressure level measured in the source and receiving room (slab with spring elements)
Comma Separated Values - 2.5 KB - MD5: 605ec930c15acf748a6586a98bddc9dc
velocity level for all sensor positions
Comma Separated Values - 2.5 KB - MD5: bf477bf29b485de5b6a45d745482502c
velocity level for all sensor positions
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