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
Aug 9, 2022 - EXC IntCDC Research Project 12 'Computational Co-Design Framework for Fibre Composite Building Systems'
Abdelaal, Moataz; Schiele, Nathan Daniel; Angerbauer, Katrin; Kurzhals, Kuno; Sedlmair, Michael; Weiskopf, Daniel, 2022, "Supplemental Materials for: Comparative Evaluation of Bipartite, Node-Link, and Matrix-Based Network Representations", https://doi.org/10.18419/darus-3100, DaRUS, V1
The supplemental materials of the paper titled Comparative Evaluation of Bipartite, Node-Link, and Matrix-Based Network Representations, which was accepted for presentation at IEEE VIS 2022 conference. The structure of the folder is as follows: . └── code |── NetworkGenerati...
Sep 6, 2023 - EXC IntCDC RP 3: Multi-Storey Wood Building System
Orozco, Luis; Svatoš-Ražnjević, Hana; Menges, Achim, 2022, "Stakeholders in Multi-storey Timber Data", https://doi.org/10.18419/darus-2740, DaRUS, V2
This dataset contains a collection of data on almost 540 stakeholders in multi-storey timber construction. The list includes architects, engineers, and manufacturers involved in the design and construction of 300 contemporary multi-storey timber projects built between 2000 and 20...
Mar 5, 2024 - EXC IntCDC Research Project 19 'Co-Design Methods for Developing Distributed Cooperative Multi-Robot Systems for Construction'
Leder, Samuel; Kragl, Philipp; Menges, Achim, 2024, "Roaming Autonomous Distributed robot (RADr)", https://doi.org/10.18419/darus-4059, DaRUS, V1
Roaming Autonomous Distributed robot (RADr) is a two-wheeled mobile robot that can assemble hexagonal digital materials. This dataset contains the 3D models for a RADr and a digital material that the RADr can actively grab with an electromagnet and move around (in 3dm and STEP fi...
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...
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...
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,...
Jan 10, 2024 - EXC IntCDC Research Project 1 'Functionally Graded Concrete Building System – Design, Optimisation, Digital Production and Reuse'
Strahm, Benedikt; Haufe, Carl; Blandini, Lucio, 2024, "Replication Data for: Investigations on the Shear Load-Bearing Behavior of Functionally Graded Concrete Beams with Mineral Hollow Spheres", https://doi.org/10.18419/darus-3875, DaRUS, V1
Addendum to the corresponding paper. The paper describes numerical and experimental investigations of functionally graded concrete beams subjected to three-point bending tests to determine their shear capacity. The data set includes: diagrams/ Values for the load-deformation curv...
Mar 28, 2024 - ISW Timo König Cornuspline path planning algorithm for the fabrication of coreless wound fibre-polymer composite structures
König, Timo, 2024, "Replication Data for: Cornuspline path planning algorithm for the fabrication of coreless wound fiber-polymer composite structures", https://doi.org/10.18419/darus-3577, DaRUS, V1, UNF:6:LRhHzlkFvUo/LckJmnuntQ== [fileUNF]
This dataset contains all the validation data that presented within the paper "Cornuspline path planning algorithm for the fabrication of coreless wound fiber-polymer composite structures". This paper presents a spline path planning algorithm based on clothoids. This algorithm co...
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...
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...
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