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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1 to 10 of 71 Results
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.
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.
Sep 14, 2021 - isw_kar_ puplication
Kaiser, Benjamin, 2021, "Replication data for: Planning of Curvature-Optimal Smooth Paths for Industrial Robots Using Neural Networks", https://doi.org/10.18419/darus-2126, DaRUS, V1, UNF:6:wNKYRgrs4Qt6BOHEvqTtyQ== [fileUNF]
This dataset contains curvature-optimal geometry parameters for linear-linear transitions for polynomial smoothing with polynomial splines 4th order. The data was generated by offline solving the optimization problem of curvature-optimal geometry parameters for corner smoothing,...
EXC IntCDC 'Research Data Management'(University of Stuttgart, Max Planck Institute for Intelligent Systems)
EXC IntCDC 'Research Data Management' logo
Sep 16, 2021
Information provided by the Research Data Management team of IntCDC.
Sep 20, 2021 - EXC IntCDC 'Research Data Management'
Braun, Matthias, 2021, "EXC IntCDC - Data Management Plan Template for Research Projects", https://doi.org/10.18419/darus-2116, DaRUS, V1, UNF:6:Al3ljb79iWiURj4OdonArw== [fileUNF]
This Data Management Plan describes the data management life cycle for the data, a Research Project of EXC IntCDC will collect, process and/or generate. Moreover, it describes whether and how this data is being used and/or made publicly available for verification and re-use and h...
Sep 24, 2021 - IntCDC
Tapia Camú, Cristóbal; Claus, Marian; Aicher, Simon, 2021, "Replication Data for: Bond line characteristics of a new screw-glued edge connection for the secondary load-bearing direction of CLT plates", https://doi.org/10.18419/darus-2153, DaRUS, V1, UNF:6:dSQ9iue/duvwotJZTCj2XQ== [fileUNF]
This repository contains experimental data obtained from block shear tests performed on the bond surfaces of the connection for CLT plates presented in a related paper. Additional to the recorded shear strengths, the thickness of the bond surface was recorded at different locatio...
Mar 25, 2022 - EXC IntCDC RP 10: Co-Design from Architectural, Historical and Social Science Perspectives
Svatoš-Ražnjević, Hana; Menges, Achim, 2022, "Multi-storey Timber Buildings Data: Architectural and Structural Data on 350 Mass-Timber Projects from 2000-2021", https://doi.org/10.18419/darus-2733, DaRUS, V1, UNF:6:xlRfMRPJi3bK2P5FAkxLhw== [fileUNF]
This repository contains a collection of data on 350 contemporary multi-storey timber building projects. The dataset consists of information on 300 projects built between 2000 and 2021, 12 projects in construction, and 38 design proposals. The dataset consists of quantitative and...
Apr 6, 2022 - Publications
Tapia Camú, Cristóbal; Claus, Marian, 2022, "Replication Models for: A finger-joint based edge connection for the weak direction of CLT plates", https://doi.org/10.18419/darus-1259, DaRUS, V1
This repository contains the implementation of the analytical and numerical models described and used in the paper to model the developed edge connection for CLT plates in the weak direction. The connection was developed within the frame of the cluster "Integrative Computational...
Apr 12, 2022 - IntCDC
Tapia Camú, Cristóbal; Claus, Marian, 2021, "Experimental data for: A finger-joint based edge connection for the weak direction of CLT plates", https://doi.org/10.18419/darus-1344, DaRUS, V2, UNF:6:3YMGPmWE9BG0uaF+T4A8HQ== [fileUNF]
This repository contains the experimental data collected for the newly developed plate-to-plate connection during the Master's Thesis of Marian Claus. The data corresponds to the two different connection geometries, tested under two different loading conditions: (i) pure bending...
EXC IntCDC Research Project 4 'Cyber-Physical Wood Fabrication Platform'(University of Stuttgart, Max Planck Institute for Intelligent Systems)
EXC IntCDC Research Project 4 'Cyber-Physical Wood Fabrication Platform' logo
Jun 13, 2022
RP4-1: Cyber-physical fabrication platform for wood building system utilizing human-machine collaborations including immersive analytics for augmented reality. RP4-2: Cyber‐physical fabrication platform: fluid fabrication – extending the adaptivity of island-based fabrication and...
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