1,231 to 1,240 of 1,647 Results
Adobe PDF - 101.4 KB -
MD5: 805048c0f31531a65afc673031e94f32
Description of the placement of the strain gauges during the experiments |
Unknown - 1.0 KB -
MD5: 19963effcbe747a32c541da34326bfd2
File for specifying minimum build system requirements for python projects according to PEP 518. |
Markdown Text - 2.6 KB -
MD5: 03f1f6388b162749e689fec803b50e29
Readme file. |
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. |
Python Source Code - 8.9 KB -
MD5: e71428367e9beb6620cce5a255c5ba3b
Python file with utility functions |
Python Source Code - 9.9 KB -
MD5: cfe2ec68a8388bcb5a7ca6deeecc4df4
Python file defining general utility functions. |
Python Source Code - 6.1 KB -
MD5: ad25101822fff7dda31d269e56cd310d
Python file used to obtain the maximum capacity based on the Weibull model. |
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. |
Plain Text - 901 B -
MD5: f744027d3a7d0929f9d4653cb3f833d2
efficient algorithm for diagonal entries |
Plain Text - 778 B -
MD5: 32a42e3cbafab402b2af4837a404ddf1
reference method for diagonal entries |