EXC IntCDC Research Project 12 'Computational Co-Design Framework for Fibre Composite Building Systems'

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.

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61 to 70 of 79 Results

S3-9.json Mar 15, 2023 - Object model data sets of the case study specimens for the computational co-design framework for coreless wound fibre-polymer composite structures JSON - 36.4 MB - MD5: 1bd52f39f959b2a7416fd218a691d82a
Matlab Implementation of Efficient Updates of Redundancy Matrices Oct 12, 2022 - Institute for Structural Mechanics Krake, Tim; von Scheven, Malte, 2022, "Matlab Implementation of Efficient Updates of Redundancy Matrices", https://doi.org/10.18419/DARUS-2870, DaRUS, V1 This is a Demo for the manuscript 'Efficient Update of Redundancy Matrices for Truss and Frame Structures' that demonstrates the speedup and accuracy of the proposed update formulas. The computation is done in single-precision. Please open and run the main file. Further information is contained in this file.
data_generation.m Oct 12, 2022 - Matlab Implementation of Efficient Updates of Redundancy Matrices MATLAB Source Code - 4.3 KB - MD5: 1b3b70f42e43c508e7ed7300083c0fe6
efficient_update_add.m Oct 12, 2022 - Matlab Implementation of Efficient Updates of Redundancy Matrices MATLAB Source Code - 2.1 KB - MD5: ed091981b374757a35d100b80d75d23f
efficient_update_exc.m Oct 12, 2022 - Matlab Implementation of Efficient Updates of Redundancy Matrices MATLAB Source Code - 3.0 KB - MD5: ad621255d83ee65e9a2f3a55034d651f
efficient_update_rem.m Oct 12, 2022 - Matlab Implementation of Efficient Updates of Redundancy Matrices MATLAB Source Code - 2.4 KB - MD5: 85aea056cea4c9180e5f666f09d848d3
LICENSE.txt Oct 12, 2022 - Matlab Implementation of Efficient Updates of Redundancy Matrices Plain Text - 1.3 KB - MD5: cddab5b1b6bdefbf6999b47d6716e93d
main.m Oct 12, 2022 - Matlab Implementation of Efficient Updates of Redundancy Matrices MATLAB Source Code - 5.4 KB - MD5: a23af60ca9e21df107a776d0839a1624
redundancy.m Oct 12, 2022 - Matlab Implementation of Efficient Updates of Redundancy Matrices MATLAB Source Code - 371 B - MD5: 49965bf008130599708afde40a195ce7
Supplemental Materials for: Comparative Evaluation of Bipartite, Node-Link, and Matrix-Based Network Representations Aug 9, 2022 Abdelaal, Moataz; Schiele, Nathan Daniel; Angerbauer, Katrin; Kurzhals, Kuno; Sedlmair, Michael; Weiskopf, Daniel, 2022, "Supplemental Materials for: Comparative Evaluation of Bipartite, Node-Link, and Matrix-Based Network Representations", https://doi.org/10.18419/DARUS-3100, DaRUS, V1 The supplemental materials of the paper titled Comparative Evaluation of Bipartite, Node-Link, and Matrix-Based Network Representations, which was accepted for presentation at IEEE VIS 2022 conference. The structure of the folder is as follows: . └── code \|── NetworkGeneration # the R code to generate the network data \|── NetworkVis...

S3-9.json

Mar 15, 2023 - Object model data sets of the case study specimens for the computational co-design framework for coreless wound fibre-polymer composite structures

JSON - 36.4 MB -

Matlab Implementation of Efficient Updates of Redundancy Matrices

Oct 12, 2022 - Institute for Structural Mechanics

Krake, Tim; von Scheven, Malte, 2022, "Matlab Implementation of Efficient Updates of Redundancy Matrices", https://doi.org/10.18419/DARUS-2870, DaRUS, V1

This is a Demo for the manuscript 'Efficient Update of Redundancy Matrices for Truss and Frame Structures' that demonstrates the speedup and accuracy of the proposed update formulas. The computation is done in single-precision. Please open and run the main file. Further information is contained in this file.

data_generation.m

Oct 12, 2022 - Matlab Implementation of Efficient Updates of Redundancy Matrices

MATLAB Source Code - 4.3 KB -

efficient_update_add.m

Oct 12, 2022 - Matlab Implementation of Efficient Updates of Redundancy Matrices

MATLAB Source Code - 2.1 KB -

efficient_update_exc.m

Oct 12, 2022 - Matlab Implementation of Efficient Updates of Redundancy Matrices

MATLAB Source Code - 3.0 KB -

efficient_update_rem.m

Oct 12, 2022 - Matlab Implementation of Efficient Updates of Redundancy Matrices

MATLAB Source Code - 2.4 KB -

LICENSE.txt

Oct 12, 2022 - Matlab Implementation of Efficient Updates of Redundancy Matrices

Plain Text - 1.3 KB -

main.m

Oct 12, 2022 - Matlab Implementation of Efficient Updates of Redundancy Matrices

MATLAB Source Code - 5.4 KB -

redundancy.m

Oct 12, 2022 - Matlab Implementation of Efficient Updates of Redundancy Matrices

MATLAB Source Code - 371 B -

Supplemental Materials for: Comparative Evaluation of Bipartite, Node-Link, and Matrix-Based Network Representations

Aug 9, 2022

Abdelaal, Moataz; Schiele, Nathan Daniel; Angerbauer, Katrin; Kurzhals, Kuno; Sedlmair, Michael; Weiskopf, Daniel, 2022, "Supplemental Materials for: Comparative Evaluation of Bipartite, Node-Link, and Matrix-Based Network Representations", https://doi.org/10.18419/DARUS-3100, DaRUS, V1

The supplemental materials of the paper titled Comparative Evaluation of Bipartite, Node-Link, and Matrix-Based Network Representations, which was accepted for presentation at IEEE VIS 2022 conference. The structure of the folder is as follows: . └── code |── NetworkGeneration # the R code to generate the network data |── NetworkVis...

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