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Tabular Data - 75.0 KB - 13 Variables, 1143 Observations - UNF:6:E3SROxRmTcGbJ1ofdnmuQQ==
Unknown - 2.7 MB - MD5: dcfd845bd702ec32c9a1f535055851d4
Python Source Code - 6.9 KB - MD5: 8c3ffcbd807c11ce809a4a9fdf2a1311
A python script for generating scattering geometrical imperfections as described in the dissertation of Janusch Töpler.
Python Source Code - 4.1 KB - MD5: a0737f42ce03c8fabf670f88ed232468
A user function for scatter_geomImp.py for sampling according to different distribution functions.
Python Source Code - 209.5 KB - MD5: 17c376cf74962dddf8dc8ba033edd86a
Python input file for an automated geometrically and materially nonlinear numerical analysis of timber beam-columns with Abaqus/CAE.
Plain Text - 700.2 KB - MD5: b08c262c08ff8e9c00b76d7dd32d0e6c
Input data for Abaqus_timber_beam-column.py with scattering material parameters according to the KaReMo+.
Plain Text - 3.6 KB - MD5: 808e1d54ed84fbf7ba523d5ee8d45fe2
Input data for Abaqus_timber_beam-column.py with measured geometrical imperfections, see DIBt - ZP 52-5-13.194 (https://doi.org/10.18419/DARUS-3304).
Plain Text - 91.4 KB - MD5: 0914e56d536a0350287eef41fac0c834
Input data for Abaqus_timber_beam-column.py with scattering geometrical imperfections.
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