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
Jun 12, 2023 - EXC IntCDC Research Project 28 'Visual Support for Architectural Design and Construction'
Pathmanathan, Nelusa; Öney, Seyda; Becher, Michael; Sedlmair, Michael; Weiskopf, Daniel; Kurzhals, Kuno, 2023, "Replication Data for: Been There, Seen That: Visualization of Movement and 3D Eye Tracking Data from Real-World Environments", https://doi.org/10.18419/darus-3383, DaRUS, V1
The file contains a Unity project, which allows to test the desktop-based visualization techniques introduced in the Paper "Been there, Seen that: Visualization of Movement and 3D Eye Tracking Data from Real-World Environments". It allows you to analyze 3D gaze and movement data...
Jun 12, 2023 - EXC IntCDC Research Project 10 'Co-Design from Architectural, Social and Computational Perspectives'
Öney, Seyda; Pathmanathan, Nelusa; Becher, Michael; Sedlmair, Michael; Weiskopf, Daniel; Kurzhals, Kuno, 2023, "Replication Data for: Visual Gaze Labeling for Augmented Reality Studies", https://doi.org/10.18419/darus-3384, DaRUS, V1
This .zip file contains the Unity project of the visualization tool described in the paper "Visual Gaze Labeling for Augmented Reality Studies" which was accepted at EuroVis 2023 Conference. This tool can be used to annotate gaze data from Augmented Reality (AR) scenarios to perf...
EXC IntCDC Research Project 11 'Long-span Fibre Composite Structures'(University of Stuttgart, Max Planck Institute for Intelligent Systems)
EXC IntCDC Research Project 11 'Long-span Fibre Composite Structures' logo
May 12, 2023
RP11-1: Long-span Fibre Composite Structures. RP11-2: Hybrid FRP-Timber Building System and Material System Development.
May 12, 2023 - EXC IntCDC Research Project 12 'Computational Co-Design Framework for Fibre Composite Building Systems'
Gil Pérez, Marta; Mindermann, Pascal; Zechmeister, Christoph; Forster, David; Guo, Yanan; Hügle, Sebastian; Kannenberg, Fabian; Balangé, Laura; Schwieger, Volker; Middendorf, Peter; Bischoff, Manfred; Menges, Achim; Gresser, Götz Theodor; Knippers, Jan, 2023, "Post-processed and normalized data sets for the data processing, analysis, and evaluation methods for co-design of coreless filament-wound structures", https://doi.org/10.18419/darus-3449, DaRUS, V1, UNF:6:3jBvTQjaf+dWmcUwcF1GkA== [fileUNF]
Post-processed and normalized data sets for specimens S2-0, S2-1, S2-2, S2-4, S2-8 and S2-9, used in Figure 14 of the publication: "Data processing, analysis, and evaluation methods for co-design of coreless filament-wound building systems", in the Journal of Computational Design...
EXC IntCDC Research Project 28 'Visual Support for Architectural Design and Construction'(University of Stuttgart, Max Planck Institute for Intelligent Systems)
EXC IntCDC Research Project 28 'Visual Support for Architectural Design and Construction' logo
Mar 16, 2023
RP28-1: Visual support for architectural design and construction.
EXC IntCDC Research Project 14 'Extension of the Cyber-Physical Prefabrication Platform'(University of Stuttgart, Max Planck Institute for Intelligent Systems)
EXC IntCDC Research Project 14 'Extension of the Cyber-Physical Prefabrication Platform' logo
Mar 15, 2023
RP14-1: Additive cyber-physical prefabrication platform for multifunctional, multi-scale load-adapted fibre composite building elements including fabrication simulation and digital twin. RP14-2: Extension of the cyber-physical prefabrication platform for reliable production of la...
EXC IntCDC Research Project 18 'Holistic Quality Model for Extension of Existing Buildings'(University of Stuttgart, Max Planck Institute for Intelligent Systems)
EXC IntCDC Research Project 18 'Holistic Quality Model for Extension of Existing Buildings' logo
Mar 15, 2023
RP18-1: Holistic Social, Environmental and Technical Quality Model RP18-2: Holistic quality model for extension of existing buildings: social, environmental, technical and economic integration.
Mar 15, 2023 - EXC IntCDC Research Project 12 'Computational Co-Design Framework for Fibre Composite Building Systems'
Gil Pérez, Marta; Zechmeister, Christoph; Kannenberg, Fabian; Mindermann, Pascal; Balangé, Laura; Guo, Yanan; Hügle, Sebastian; Gienger, Andreas; Forster, David; Bischoff, Manfred; Tarín, Cristina; Middendorf, Peter; Schwieger, Volker; Gresser, Götz Theodor; Menges, Achim; Knippers, Jan, 2023, "Object model data sets of the case study specimens for the computational co-design framework for coreless wound fibre-polymer composite structures", https://doi.org/10.18419/darus-3375, DaRUS, V1
This repository contains the object model data sets of the case study specimens from the related publication: Gil Pérez, M., Zechmeister, C., Kannenberg, F., Mindermann, P., Balangé, L., Guo, Y., Hügle, S., Gienger, A., Forster, D., Bischoff, M., Tarín, C., Middendorf, P., Schwie...
Mar 3, 2023 - EXC IntCDC Research Project 20 'Knowledge Representation for Multi-Disciplinary Co-Design'
Elshani, Diellza; Lombardi, Alessio; Hernández, Daniel; Staab, Steffen; Fisher, Al; Wortmann, Thomas, 2023, "BHoM to bhOWL converter", https://doi.org/10.18419/darus-3364, DaRUS, V1
The dataset is the release version v2.0.0 of the BHoM to bhOWL converter, which helps convert BHoM data to a knowledge graph in any software BHoM supports. BHoM (The Buildings and Habitats object Model) is collaborative framework that runs within several AEC design software, whic...
EXC IntCDC Research Project 20 'Knowledge Representation for Multi-Disciplinary Co-Design'(University of Stuttgart, Max Planck Institute for Intelligent Systems)
EXC IntCDC Research Project 20 'Knowledge Representation for Multi-Disciplinary Co-Design' logo
Feb 23, 2023
RP20-1: Knowledge representation for multi-disciplinary co-design of buildings.
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