The vision of the Cluster of Excellence Integrative Computational Design and Construction for Transformative 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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71 to 80 of 89 Results
Aug 31, 2023 - Publications
Tapia Camú, Cristóbal; Aicher, Simon, 2023, "Replication Data for: A new concept for column-to-column connections for multi-storey timber buildings - Numerical and experimental investigations", https://doi.org/10.18419/DARUS-3318, DaRUS, V2, UNF:6:gvvNiEJEFzTByhaIsaPJVQ== [fileUNF]
This repository contains the experimental data of the tests described in the paper, as well as the python scripts used for the analysis of the data. Also, the finite element model in form of an Abaqus python script is included.
Jul 12, 2023 - EXC IntCDC RP 3: Multi-Storey Wood Building System
Orozco, Luis; Krtschil, Anna; Wagner, Hans Jakob; Knippers, Jan; Menges, Achim, 2023, "Floor Plate Segmentation Data", https://doi.org/10.18419/DARUS-3539, DaRUS, V1
This repository contains the geometric results of six developed computational floor plate segmentation methods as applied to sixteen example floor plans. It includes the floor plate boundaries, column locations, and plate edges for each resulting segmentation, as well as the geometry results of their respective nesting studies. This data set offers...
Jun 16, 2023 - Institute for Structural Mechanics
Tkachuk, Anton; Krake, Tim; Gade, Jan; von Scheven, Malte, 2023, "Matlab Implementation of Efficient Computation of Redundancy Matrices", https://doi.org/10.18419/DARUS-3347, DaRUS, V1
This is a Demo for the manuscript 'Efficient Computation of Redundancy Matrices for Moderately Redundant Truss and Frames Structures' that demonstrates the speedup of the proposed algorithms. The computation is done in single-precision. Please open and run the main file. Further information is contained in this file.
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 sets recorded using the HoloLens 2. It provides you with a gaze replay...
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 perform AOI based eye-tracking analysis. The visualization tool consists o...
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 and Engineering. The data allows the comparison of different geometri...
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., Schwieger, V., Gresser, G. T., Menges, A., Knippers, J.: 2022, Computational...
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, which helps to represent data in a object oriented database model. OWL (We...
Jan 17, 2023 - EXC IntCDC Associated Project 11 'Imperfection Measurements on Timber Members'
Töpler, Janusch; Kuhlmann, Ulrike, 2023, "Measurement data: Laser scanning of timber buidlings", https://doi.org/10.18419/DARUS-3304, DaRUS, V1
The timber structures of 23 building projects were measured with a laser scanner Leica ScanStation P20 within the research project DIBt - ZP 52-5-13.194. Several buildings with concrete columns are also included in the data set. The measurements were carried out directly after assembly and alignment of the structures. The data sets of all measured...
Oct 12, 2022 - Institute for Structural Mechanics
Krake, Tim; von Scheven, Malte, 2022, "Matlab Implementation of Efficient Updates of Redundancy Matrices", https://doi.org/10.18419/DARUS-2870, DaRUS, V1
This is a Demo for the manuscript 'Efficient Update of Redundancy Matrices for Truss and Frame Structures' that demonstrates the speedup and accuracy of the proposed update formulas. The computation is done in single-precision. Please open and run the main file. Further information is contained in this file.
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