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911 to 920 of 1,156 Results
Readme.md
Jul 17, 2023 - Replication Data for: A new concept for column-to-column connections for multi-storey timber buildings - Numerical and experimental investigations
Markdown Text - 2.6 KB - MD5: 03f1f6388b162749e689fec803b50e29
Readme file.
strain_gauges.tab
Jul 17, 2023 - Replication Data for: A new concept for column-to-column connections for multi-storey timber buildings - Numerical and experimental investigations
Tabular Data - 148 B - 6 Variables, 2 Observations - UNF:6:hAjhEQEW2bNWQuTGQId8Dw==
Measurments of the strains at the same locations as measured during the experiments. The results correspond to a total load of 1kN.
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 - 8.9 KB - MD5: e71428367e9beb6620cce5a255c5ba3b
Python file with utility functions
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.
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.
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
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