Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

1 to 10 of 14 Results
Gzip Archive - 6.7 KB - MD5: 3bae0638a308abb9278f9d67ab85ad78
This archive contains the material model used to describe the softening behavior and a test simulation run with a single finite element. Run the test with `make tests`. The fortran compiler must be correctly configured in Abaqus in order to compile the user subroutine. If you us...
Gzip Archive - 55.8 KB - MD5: 2858afa24d9fc5673ecc2824819d4431
This repository contains the source code and data used for the survival analysis and size effect simulation of oak boards with the Julia programming language. Instructions on how to use the code can be found in the Readme.md file inside the container.
Gzip Archive - 50.5 KB - MD5: 1b0e0b2d85d158a489d68633a52d3616
Scripts used for the survival analysis of the localized tensile strength along boards.
Gzip Archive - 10.5 KB - MD5: 14890e3b6e92602029d4a3a89299d0a6
Python package that defines classes and functions used to generate the material properties used in the stochastic finite element simulations.
Gzip Archive - 27.2 KB - MD5: c93205c9765da863821fed1211f08bb1
Python package that defines classes and functions to run the Montecarlo finite element simulations of the glulam model.
Gzip Archive - 2.8 KB - MD5: cb1118a3202e9ebeed01a1c03c302ed2
Python package that defines functions used for the post-processing of the results obtained from the stochastic finite element simulations for the bending strength of glulam.
TAR Archive - 30.3 KB - MD5: 290543854ccfc45f5385ce9b554285ec
Scripts used for the simulation of MOE profiles along boards according to the model presented in the paper.
TAR Archive - 128.5 KB - MD5: 694928d71f013610687a34dc7527ebd1
Scripts for the autocorrelation analysis of localized MOE along boards.
Gzip Archive - 1.1 MB - MD5: a791af8963661dcdea89ad4be1c70b54
This archive contains an example of how to use the model. The example consists on the analysis presented using the Database B (see Section 8.1 in the dissertation).
TAR Archive - 75.5 KB - MD5: 95aafba338a49271e550ff618ac9169a
These scripts are used to compute the KAR values of the boards and assign a grade according to EN 4074-5 (2008).
Add Data

Log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.