RP12-1: Computational co-design for fibre composite building systems including visual analytics and simulation interfaces.
RP12-2: Computational co-design framework for fibre composite building systems.
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

11 to 20 of 79 Results
ABxM.PlateStructuresCore.dll
Dec 11, 2023 - ABxM.PlateStructures: Agent-based Architectural Design of Plate Structures
Windows Executable - 64.0 KB - MD5: 18245701ac82c494ae0c1230304055ba
ABxM.PlateStructures.gha
Dec 11, 2023 - ABxM.PlateStructures: Agent-based Architectural Design of Plate Structures
Unknown - 244.0 KB - MD5: 57bd3f01255cad70cd10615cbb1d1d43
Release_notes.md
Dec 11, 2023 - ABxM.PlateStructures: Agent-based Architectural Design of Plate Structures
Markdown Text - 914 B - MD5: 4febe5d48b52c949847284e4013f94f6
Stakeholders in Multi-storey Timber Data
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 2021. The data consists of quantitative data including stakeholder name,...
StakeholderList.xlsx
Sep 6, 2023 - Stakeholders in Multi-storey Timber Data
MS Excel Spreadsheet - 77.0 KB - MD5: 54785cafad6e1e85763f798e243380fe
This file contains the full list of stakeholders and their general information (location, website, services).
Matlab Implementation of Efficient Computation of Redundancy Matrices
Jun 16, 2023 - Institute for Structural Mechanics
Tkachuk, Anton; Krake, Tim; Gade, Jan; von Scheven, Malte, 2023, "Matlab Implementation of Efficient Computation of Redundancy Matrices", https://doi.org/10.18419/DARUS-3347, DaRUS, V1
This is a Demo for the manuscript 'Efficient Computation of Redundancy Matrices for Moderately Redundant Truss and Frames Structures' that demonstrates the speedup of the proposed algorithms. The computation is done in single-precision. Please open and run the main file. Further information is contained in this file.
compute_diagonal_entries_eff.m
Jun 16, 2023 - Matlab Implementation of Efficient Computation of Redundancy Matrices
Plain Text - 901 B - MD5: f744027d3a7d0929f9d4653cb3f833d2
efficient algorithm for diagonal entries
compute_diagonal_entries_ref.m
Jun 16, 2023 - Matlab Implementation of Efficient Computation of Redundancy Matrices
Plain Text - 778 B - MD5: 32a42e3cbafab402b2af4837a404ddf1
reference method for diagonal entries
compute_full_matrix_eff.m
Jun 16, 2023 - Matlab Implementation of Efficient Computation of Redundancy Matrices
Plain Text - 907 B - MD5: 2954d4415510f4f71d8a47df49e55cd4
efficient algorithm for full matrix
compute_full_matrix_ref.m
Jun 16, 2023 - Matlab Implementation of Efficient Computation of Redundancy Matrices
Plain Text - 659 B - MD5: 22f20a3cfc19519a2553461acc0b213e
reference method for full matrix
Add Data

Log in to create a dataverse or add a dataset.

Log In
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.