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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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
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
EXC IntCDC Research Project 22 'Prestressed Graded Concrete Components with Basalt Reinforcement'(University of Stuttgart, Max Planck Institute for Intelligent Systems)
EXC IntCDC Research Project 22 'Prestressed Graded Concrete Components with Basalt Reinforcement' logo
Nov 20, 2023
RP22-1: Design, handling and fabrication of prestressed graded concrete components with basalt reinforcement
EXC IntCDC Research Project 2 'Cyber-Physical Fabrication of Functionally Graded Concrete'(University of Stuttgart, Max Planck Institute for Intelligent Systems)
EXC IntCDC Research Project 2 'Cyber-Physical Fabrication of Functionally Graded Concrete' logo
Nov 20, 2023
RP2-1: Cyber-physical fabrication of functionally graded concrete components for multi-storey buildings
EXC IntCDC Research Project 13 'Form Finding, Mechanical Modelling and Assessment'(University of Stuttgart, Max Planck Institute for Intelligent Systems)
EXC IntCDC Research Project 13 'Form Finding, Mechanical Modelling and Assessment' logo
Nov 20, 2023
RP13-1: Transient form finding, mechanical modelling and assessment of segmented fibre composite shells
EXC IntCDC Research Project 15 'Data Management and Artificial Intelligence Approaches'(University of Stuttgart, Max Planck Institute for Intelligent Systems)
EXC IntCDC Research Project 15 'Data Management and Artificial Intelligence Approaches' logo
Nov 20, 2023
RP15-1: Data management and artificial intelligence approaches for data-integrated computational design, simulation, and fabrication
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