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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11 to 20 of 71 Results
Feb 27, 2024 - EXC IntCDC Research Project 29 'COLife: More-Than-Human Perspective to Codesign'
Davidova, Marie; Behnam, Hananeh; Valverde Rojas, María Claudia; Juarez, Diego; Grgurovic, Nikolina; Herlevi, Linnea; Zinder, Dorian; Bortone, Lorenzo; Belli, Fatma Sultan; Gado, Nanis, 2024, "COLife_03 - Gigamap and DIY", https://doi.org/10.18419/darus-3986, DaRUS, V1
The dataset presents the more-than-human intervention, its codesigned gigamap that leads to it and DIY recipes for its reproduction. The dataset was achieved during the winter semester 2023/24. The gigamap was in feedback loops codesigned digitally in the Miro platform and analog...
Feb 27, 2024 - EXC IntCDC Research Project 29 'COLife: More-Than-Human Perspective to Codesign'
Davidova, Marie; Valverde Rojas, María Claudia; Behnam, Hananeh; Fischer, Leonie Katharina; Fadini, Thomas; Haueise, Jannis; Hauke, Adriana; Florescu, Matei; Ferrari, Valentina; Ros, Ana Patricia; Vujovic, Nadja; Knutelsky, Samuel; Wosiak, Olga; Candìa, Marcelo, 2024, "COLife_01 - Gigamap and DIY Files", https://doi.org/10.18419/darus-3983, DaRUS, V1
The data cover codesigned gigamap and parametric and analogue DIY files of BioDiveIn more-than-human intervention. The gigamap was a product of digital participation in the Miro platform, updated by analogue workshops with stakeholders in feedback loops. The data were produced in...
Feb 21, 2024 - Analytic Computing
Asma, Zubaria; Hernández, Daniel; Galárraga, Luis; Flouris, Giorgos; Fundulaki, Irini; Hose, Katja, 2024, "Code and benchmark for NPCS, a Native Provenance Computation for SPARQL", https://doi.org/10.18419/darus-3973, DaRUS, V1
Code for the implementation and benchmark of NPCS, a Native Provenance Computation for SPARQL. The code in this dataset includes the implementation of the NPCS system, which is a middleware for SPARQL endpoints that rewrites queries to queries that annotate answers with provenanc...
EXC IntCDC Associated Project 27 'Self-Forming Cylindrical Wood Components for Sustainable Lightweight Structures' logo
Feb 19, 2024
AP 27: Self-Forming Cylindrical Wood Components for Sustainable Lightweight Structures
Feb 16, 2024 - Analytic Computing
Seifer, Philipp; Hernández, Daniel; Lämmel, Ralf; Staab, Steffen, 2024, "Code for From Shapes to Shapes", https://doi.org/10.18419/darus-3977, DaRUS, V1
This dataset contains the implementation code for an algorithm to infer SHACL shapes that the graph returned by an SPARQL CONSTRUCT query must satisfy if the input satisfies a given set of SHACL shapes. This dataset also includes an evaluation for the algorithm. The algorithm imp...
Jan 15, 2024 - EXC IntCDC RP 9.2: Data Processing and AI for Predictive and Adaptive Co-Design
Skoury, Lior; Wortmann, Thomas, 2024, "livMats Biomimetic Shell Fabrication Tasks", https://doi.org/10.18419/darus-3648, DaRUS, V1
This dataset was created to track the steps involved in making the livMats Biomimetic Shell, from design to fabrication. It contains information about the various tasks performed during the assembly of the shell's cassettes. The dataset presents an array of essential tasks, each...
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...
Dec 11, 2023 - ABxM Framework for Agent-based Modeling and Simulation
Schwinn, Tobias; Groenewolt, Abel; Nguyen, Long; Siriwardena, Lasath; Alvarez, Martín; Reiner, Alexander; Zorn, Max Benjamin; Menges, Achim, 2023, "ABxM.PlateStructures: Agent-based Architectural Design of Plate Structures", https://doi.org/10.18419/darus-3438, DaRUS, V3
ABxM.PlateStructures is an add-on to ABxM.Core for agent-based design and development of plate structures, such as segmented timber shells. The add-on contains various agent system constructs and utilities for plate structure design and is intended to be used within Rhino/Grassho...
EXC IntCDC Research Project 16 'Cyber-Physical On-Site Construction Processes using a Spider Crane Robotic Platform' logo
Nov 20, 2023
RP16-1: Robotic platform for cyber-physical assembly of long-span fibre-composite structures RP16-2: Cyber-physical on-site construction processes using a spider crane robotic platform
EXC IntCDC Research Project 26 'AI-supported Collaborative Control and Trajectory Generation of Mobile Manipulators for Indoor Construction Tasks' logo
Nov 20, 2023
RP26-1: AI-supported Collaborative Control and Trajectory Generation of Mobile Manipulators for Indoor Construction Tasks
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