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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41 to 50 of 71 Results
EXC IntCDC Research Project 30 'From analogue to automated'(University of Stuttgart, Max Planck Institute for Intelligent Systems)
EXC IntCDC Research Project 30 'From analogue to automated' logo
Apr 15, 2024
RP30-1: From analogue to automated – early studies on integrated computational simulation and design
EXC IntCDC Research Project 31 'Visual Semantic Scene Understanding for Collaborative Wood Building System'(University of Stuttgart, Max Planck Institute for Intelligent Systems)
EXC IntCDC Research Project 31 'Visual Semantic Scene Understanding for Collaborative Wood Building System' logo
Apr 15, 2024
RP31-1: Visual Semantic Scene Understanding for Collaborative Wood Building System
EXC IntCDC Research Project 32 'Robotically-Fabricated Circular Carpentry Joints for Multi-Story Timber Buildings' logo
Apr 15, 2024
RP32-1: Robotically-Fabricated Circular Carpentry Joints for Multi-Story Timber Buildings
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...
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 6 'Biocomposites Façades and -extension Systems'(University of Stuttgart, Max Planck Institute for Intelligent Systems)
EXC IntCDC Research Project 6 'Biocomposites Façades and -extension Systems' logo
Nov 20, 2023
RP6-1: Design and digital fabrication of biocomposite facade panels RP6-2: Biocomposites façades and -extension systems
EXC IntCDC Research Project 7 'Integrated Testing and Numerical Verifications'(University of Stuttgart, Max Planck Institute for Intelligent Systems)
EXC IntCDC Research Project 7 'Integrated Testing and Numerical Verifications' logo
Dec 13, 2022
RP7-1: Development of an integrated approach of testing and numerical verifications.
EXC IntCDC Research Project 8 'Cyber-Physical Construction Platform'(University of Stuttgart, Max Planck Institute for Intelligent Systems)
EXC IntCDC Research Project 8 'Cyber-Physical Construction Platform' logo
Nov 20, 2023
RP8-1: Cyber-Physical Construction Platform RP8-2: Cyber-Physical Construction Platform
EXC IntCDC Research Project 9 'Data Processing and AI for Predictive and Adaptive Co-Design'(University of Stuttgart, Max Planck Institute for Intelligent Systems)
EXC IntCDC Research Project 9 'Data Processing and AI for Predictive and Adaptive Co-Design' logo
Nov 20, 2023
RP9-1: Integrative data processing for connected cyber-physical off-site and on-site construction RP9-2: Data processing and ai for predictive and adaptive co-design in prefabrication and on-site construction
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...
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