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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Nov 3, 2026 - EXC IntCDC Research Project 12 'Computational Co-Design Framework for Fibre Composite Building Systems'
Kannenberg, Fabian; Forster, David; Bischoff, Manfred; Menges, Achim, 2026, "JaxRedMat: JAX-Accelerated Computation of Redundancy Matrices for Truss and Beam Structures", https://doi.org/10.18419/DARUS-6511, DaRUS, V1
JaxRedMat is a Python library for computing redundancy matrices of truss and beam structures in JAX. The redundancy matrix describes the distribution of static indeterminacy in a structure; its main diagonal gives the degree of redundancy of each load-carrying mode and sums to the degree of static indeterminacy. The library provides implementations...
Python Source Code - 5.7 KB - MD5: a2cc5a72352627ede96d22066fe56f24
Python Source Code - 8.1 KB - MD5: 9370c72354a671aaa972e41307f1fcde
Python Source Code - 5.5 KB - MD5: b3ee9a3f5182b3c14d0c43a56f067f43
Unknown - 1.2 KB - MD5: 5641ae5c248af6d28ee617e90ff65567
Python Source Code - 11.4 KB - MD5: 5a42e172f1840ffba1524c1bbeb3316c
Python Source Code - 2.2 KB - MD5: 1739a8aeb5eb5481d4f9392a85ce02a4
Python Source Code - 2.2 KB - MD5: 1739a8aeb5eb5481d4f9392a85ce02a4
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