Cluster of Excellence Integrative Computational Design and Construction for Architecture (EXC IntCDC)

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971 to 980 of 1,246 Results

utils.py Jul 17, 2023 - Replication Data for: A new concept for column-to-column connections for multi-storey timber buildings - Numerical and experimental investigations Python Source Code - 9.9 KB - MD5: cfe2ec68a8388bcb5a7ca6deeecc4df4 Python file defining general utility functions.
weibull_model.py Jul 17, 2023 - Replication Data for: A new concept for column-to-column connections for multi-storey timber buildings - Numerical and experimental investigations Python Source Code - 6.1 KB - MD5: ad25101822fff7dda31d269e56cd310d Python file used to obtain the maximum capacity based on the Weibull model.
Floor Plate Segmentation Data Jul 12, 2023 - EXC IntCDC RP 3: Multi-Storey Wood Building System Orozco, Luis; Krtschil, Anna; Wagner, Hans Jakob; Knippers, Jan; Menges, Achim, 2023, "Floor Plate Segmentation Data", https://doi.org/10.18419/DARUS-3539, DaRUS, V1 This repository contains the geometric results of six developed computational floor plate segmentation methods as applied to sixteen example floor plans. It includes the floor plate boundaries, column locations, and plate edges for each resulting segmentation, as well as the geometry results of their respective nesting studies. This data set offers...
Geometry_Data.zip Jul 12, 2023 - Floor Plate Segmentation Data ZIP Archive - 8.8 MB - MD5: e88c5278410dcbf11f3bd05e69d8d053 This repository contains the geometry files of six developed segmentation methods applied to 16 floor plans and the geometry results of the respective nesting studies.
Simulation_Data.zip Jul 12, 2023 - Floor Plate Segmentation Data ZIP Archive - 93.0 MB - MD5: 22ee2d6262c3116bb8e5148375f3c73a This repository contains the input files for the structural simulation in Sofistik 2020 of six developed segmentation methods applied to 16 Case Studies.
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

utils.py

Jul 17, 2023 - Replication Data for: A new concept for column-to-column connections for multi-storey timber buildings - Numerical and experimental investigations

Python Source Code - 9.9 KB -

Python file defining general utility functions.

weibull_model.py

Jul 17, 2023 - Replication Data for: A new concept for column-to-column connections for multi-storey timber buildings - Numerical and experimental investigations

Python Source Code - 6.1 KB -

Python file used to obtain the maximum capacity based on the Weibull model.

Floor Plate Segmentation Data

Jul 12, 2023 - EXC IntCDC RP 3: Multi-Storey Wood Building System

Orozco, Luis; Krtschil, Anna; Wagner, Hans Jakob; Knippers, Jan; Menges, Achim, 2023, "Floor Plate Segmentation Data", https://doi.org/10.18419/DARUS-3539, DaRUS, V1

This repository contains the geometric results of six developed computational floor plate segmentation methods as applied to sixteen example floor plans. It includes the floor plate boundaries, column locations, and plate edges for each resulting segmentation, as well as the geometry results of their respective nesting studies. This data set offers...

Geometry_Data.zip

Jul 12, 2023 - Floor Plate Segmentation Data

ZIP Archive - 8.8 MB -

This repository contains the geometry files of six developed segmentation methods applied to 16 floor plans and the geometry results of the respective nesting studies.

Simulation_Data.zip

Jul 12, 2023 - Floor Plate Segmentation Data

ZIP Archive - 93.0 MB -

This repository contains the input files for the structural simulation in Sofistik 2020 of six developed segmentation methods applied to 16 Case Studies.

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 -

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 -

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 -

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 -

reference method for full matrix

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