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.
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

1,201 to 1,210 of 1,265 Results
Apr 12, 2022 - IntCDC
Tapia Camú, Cristóbal; Claus, Marian, 2021, "Experimental data for: A finger-joint based edge connection for the weak direction of CLT plates", https://doi.org/10.18419/DARUS-1344, DaRUS, V2, UNF:6:3YMGPmWE9BG0uaF+T4A8HQ== [fileUNF]
This repository contains the experimental data collected for the newly developed plate-to-plate connection during the Master's Thesis of Marian Claus. The data corresponds to the two different connection geometries, tested under two different loading conditions: (i) pure bending and (ii) shear bending conditions. For all the experiments, global and...
Tabular Data - 127.7 KB - 22 Variables, 356 Observations - UNF:6:Pnb0KQjIP7752u3uC9OVew==
Shear/Moment configuration, connection A, first loading cycle. Force units: [kN]; Displacements: [mm]; Strains: [--]. The force given corresponds to a single loading piston.
Tabular Data - 116.2 KB - 22 Variables, 323 Observations - UNF:6:lsFmoHhY2NjcjIu2BG08lQ==
Shear/Moment configuration, connection A, second loading cycle. Force units: [kN]; Displacements: [mm]; Strains: [--]. The force given corresponds to a single loading piston.
Tabular Data - 289.3 KB - 22 Variables, 812 Observations - UNF:6:PJDg+/XHtIGoA9eESv5R5g==
Shear/Moment configuration, connection A, third loading cycle. Force units: [kN]; Displacements: [mm]; Strains: [--]. The force given corresponds to a single loading piston.
Tabular Data - 47.1 KB - 11 Variables, 267 Observations - UNF:6:1J1zMcqKUJo1ktgMsJXUxQ==
Shear/Moment configuration, connection B, third loading cycle. Force units: [kN]; Displacements: [mm]; Strains: [--]. The force given corresponds to a single loading piston.
Tabular Data - 47.8 KB - 11 Variables, 271 Observations - UNF:6:E0JTUrBi7CWCXXjtn0aCGg==
Shear/Moment configuration, connection B, second loading cycle. Force units: [kN]; Displacements: [mm]; Strains: [--]. The force given corresponds to a single loading piston.
Tabular Data - 37.8 KB - 11 Variables, 219 Observations - UNF:6:h51P2U6yjDnN+HmceRjMpg==
Shear/Moment configuration, connection B, first loading cycle. Force units: [kN]; Displacements: [mm]; Strains: [--]. The force given corresponds to a single loading piston.
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 Design and Construction for Architecture" (IntCDC) of the University o...
Gzip Archive - 30.3 KB - MD5: b491d58be161e70c9bf6feacbeec78d0
Contains the scripts (python) for the different Abaqus models used to study the developed edge connection for CLT. Detailed information on how to run the different models is given in the Readme.md file inside the archive.
Gzip Archive - 13.9 KB - MD5: e75acf13b165a5aafaffb8e4302a9378
Implementation of the analytical model used to compute deflections and stresses in the CLT-LVL compound conforming the developed connection.
Add Data

Log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.