Replication Data for: Survival analysis of tensile strength variation and simulated length-size effect along oak boards

Change View

Table

Tree

Filter by

	1 to 7 of 7 Files	Original Format Archival Format (.tab)
	board_simulation.tar.gz scripts/ Gzip Archive - 34.5 KB - Feb 17, 2021 - 6 Downloads MD5: 72dca8eeac6b55bfceb0dd4cea248f00 Scripts used for the simulation of tensile strength and modulus of elasticity profiles along boards.	Download
	censored_analysis_data_all.tab data/ Tabular Data - 57.3 KB - Feb 17, 2021 - 7 Downloads 6 Variables, 705 Observations - UNF:6:KGa8Q4lFKMC6R0sBGty1OQ== Tensile strength values for each cell of every board along with indicator variable to signalize censorship. The global MOE (MOEG) is listed as regression variable. Data for all boards. MOE3: average of the three maximum MOE values of the board (not used for this specific analysis). Units: [MPa].	View Data Original File Format (Comma Separated Values) Tab-Delimited RData Format Variable Metadata Data File Citation RIS EndNote XML BibTeX
	censored_analysis_data_sub.tab data/ Tabular Data - 47.5 KB - Feb 17, 2021 - 2 Downloads 6 Variables, 585 Observations - UNF:6:1AstdkK4tio9OVQ5O8mT6g== Tensile strength values for each cell of every board along with indicator variable to signalize censorship. Subset LS10+LS10 boards. The global MOE (MOEG) is listed as regression variable. Data for all boards. MOE3: average of the three maximum MOE values of the board (not used for this specific analysis). Units: [MPa].	View Data Original File Format (Comma Separated Values) Tab-Delimited RData Format Variable Metadata Data File Citation RIS EndNote XML BibTeX
	global_tensile_strength.tab data/ Tabular Data - 972 B - Feb 17, 2021 - 2 Downloads 2 Variables, 47 Observations - UNF:6:yfWO1ewJsOyMfF2URTK+6A== Global tensile strength values for each board. Units: [MPa]	View Data Original File Format (Comma Separated Values) Tab-Delimited RData Format Variable Metadata Data File Citation RIS EndNote XML BibTeX
	local_tensile_strengths.tab data/ Tabular Data - 4.2 KB - Feb 17, 2021 - 2 Downloads 48 Variables, 15 Observations - UNF:6:iobXL1iHxVGR1V82hdQPKA== Localized tensile strength data for the cells of each board. Missing (censored) values are denoted with "NaN". Units: [MPa]	View Data Original File Format (Comma Separated Values) Tab-Delimited RData Format Variable Metadata Data File Citation RIS EndNote XML BibTeX
	survival_analysis.tar.gz scripts/ Gzip Archive - 50.5 KB - Feb 17, 2021 - 5 Downloads MD5: 1b0e0b2d85d158a489d68633a52d3616 Scripts used for the survival analysis of the localized tensile strength along boards.	Download
	survival_analysis_julia.tar.gz scripts/ Gzip Archive - 55.8 KB - Jun 28, 2021 - 0 Downloads 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.	Download

Citation Metadata

Dataset Persistent ID	doi:10.18419/darus-864
Publication Date	2021-02-17
Title	Replication Data for: Survival analysis of tensile strength variation and simulated length-size effect along oak boards
Author	Tapia Camú, Cristóbal (Materials Testing Institute, Universität Stuttgart) - ORCID: 0000-0003-2228-1686 Aicher, Simon (Materials Testing Institute, Universität Stuttgart) - ORCID: 0000-0003-1759-9884
Contact	Use email button above to contact. Tapia Camú, Cristóbal (Materials Testing Institute, Universität Stuttgart) Division of Timber Constructions (Materials Testing Institute)
Description	Dataset used to develop and calibrate the model for localized tensile strength along oak boards. A survival (or censored) analysis is performed on the cell-wise tensile strength of boards, which delivers coefficients for two different candidate distributions: (i) Beta and (ii) 3-parameter Weibull distributions. For both distributions, a parametric and a regression analyses are made. The calibrated model is used to simulate tensile strength and modulus of elasticity (MOE) profiles along boards of different sizes. These virtual boards are then used to simulate the size effect of the studied boards. The localized tensile strength was obtained by first testing the board in tension until failure. The remnant pieces were then tested in tension again. This allowed to obtain between 1 and 4 tensile strength values per board. Since for the testing in tension a certain length has to be clamped, there are sectors of the board that cannot be tested, as they are within the clamped region. These regions are considered as censored data. (2020-12-10)
Subject	Engineering
Keyword	oak boards survival analysis (WikiData) https://www.wikidata.org/wiki/Q543310 localized tensile strength size effect
Related Publication	Tapia C. and Aicher S. (2021), "Survival analysis of tensile strength variation and simulated length-size effect along oak boards", Journal of Materials in Civil Engineering (submitted for publication)
Language	English
Producer	Tapia Camú, Cristóbal (Materials Testing Institute, Universität Stuttgart)
Production Date	2018-08-01
Production Place	Division of Timber Constructions, Materials Testing Institute, University of Stuttgart
Grant Information	Fachagentur Nachwachsende Rohstoffe: 2200414
Project	European Hardwoods for the building sector
Depositor	Tapia Camú, Cristóbal
Deposit Date	2020-07-31
Kind of Data	experimental data; source code
Related Datasets	Tapia Camú, Cristóbal, Aicher, Simon: Replication Data for: Simulation of the localized modulus of elasticity of hardwood boards by means of an autoregressive model (2020), doi: 10.18419/darus-863, DaRUS
Did it work?	Yes
Explanation	It was possible to measure multiple tensile strength values per board.

Process Metadata

Processing Methods	Survival analysis (Survival analysis was used to estimate the parameters of different models to the measured tensile strength data.)
Software	Python (Van Rossum, G., & Drake, F. L.. Python 3 Reference Manual. Scotts Valley, CA: CreateSpace (2009).) Version: 3.6 (https://www.python.org/) MIT NumPy (Harris, C.R., Millman, K.J., van der Walt, S.J., Gommers R., Virtanen, P., Cournapeau, D., Wieser, E., Taylor, J., Berg, S., Smith, N.J., Kern, R., Picus, M., Hoyer, S., van Kerkwijk, M.H., Brett, M., Haldane, A., del Río, J.F., Wiebe, M., Peterson, P., Gérard-Marchant, P., Sheppard, K., Reddy, T., Weckesser, W., Abbasi, H., Gohlke and C. Oliphant, T.E. "Array programming with NumPy. " Nature 585, 357-362 (2020). doi: 10.1038/s41586-020-2649-2) Version: 1.17.3 (https://numpy.org/) MIT Lifelines (Cameron Davidson-Pilon, Jonas Kalderstam, Noah Jacobson, sean-reed, Ben Kuhn, Paul Zivich, … jlim13. (2020, September 25). CamDavidsonPilon/lifelines: v0.25.5 (Version v0.25.5). Zenodo.) Version: 0.25.5 (https://doi.org/10.5281/zenodo.4050560) MIT License SciPy (Virtanen, P., Gommers, R., Oliphant, T.E., Haberland, M., Reddy, T. Cournapeau, D., Burovski, E., Peterson, P., Weckesser, W., Bright, J., van der Walt, S.J., Brett, M., Wilson, J., Millman, K.J., Mayorov, N., Nelson, A.R.J., Jones, E., Kern, R., Larson, E., Carey, C.J., Polat, İ., Feng, Y., Moore, E.W., VanderPlas, J., Laxalde, D., Perktold, J., Cimrman, R., Henriksen, I., Quintero, E.A., Harris, C.R., Archibald, A.M., Ribeiro, A.H., Pedregosa, F., van Mulbregt, P. and SciPy 1.0 Contributors (2020) "SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python." Nature Methods, 17(3), 261-272. doi: 10.1038/s41592-019-0686-2) Version: 1.2.0 (https://scipy.org/scipylib/) BSD-3-Clause License Matplotlib (Thomas A Caswell, Michael Droettboom, Antony Lee, John Hunter, Elliott Sales de Andrade, Eric Firing, … Paul Ivanov. (2020, November 12). matplotlib/matplotlib: REL: v3.3.3 (Version v3.3.3). Zenodo. doi: 10.5281/zenodo.4268928) Version: 3.3.3 (https://matplotlib.org) BSD Poetry Version: 1.1.4 (https://python-poetry.org/) MIT Pandas (Jeff Reback, Wes McKinney, jbrockmendel, Joris Van den Bossche, Tom Augspurger, Phillip Cloud, … Mortada Mehyar. (2020, March 18). pandas-dev/pandas: Pandas 1.0.3 (Version v1.0.3). Zenodo. doi: 10.5281/zenodo.3715232) Version: 0.25.2 (https://pandas.pydata.org/) BSD 3-Clause Julia (Bezanson, Jeff and Edelman, Alan and Karpinski, Stefan and Shah, Viral B (2017). Julia: A fresh approach to numerical computing, In SIAM Review, 59(1), pp. 65-98, doi: 10.1137/141000671) Version: 1.6.1 (https://julialang.org/) MIT
Instruments	Universal test machine (Maximum load: 700 kN) , Software: Cubus/Zwick

Engineering Metadata

Data Generation	Experiment
Measured Variables	Tensile strength (f_t,0) [MPa] Tensile modulus of elasticity (E_t,0) [MPa]

Waiver

Our Community Norms as well as good scientific practices expect that proper credit is given via citation. Please use the data citation above, generated by the Dataverse.

CC BY - "Attribution" Creative Commons CC BY Attribution 4.0 International icon

Guestbook

No guestbook is assigned to this dataset, you will not be prompted to provide any information on file download.

Preview Guestbook

Upon downloading files the guestbook asks for the following information.

Guestbook Name

Collected Data

Account Information

Dataset	Summary	Contributors	Published
No records found.

Share Dataset

Share this dataset on your favorite social media networks.

Dataset Citations

Citations for this dataset are retrieved from Crossref via DataCite using Make Data Count standards. For more information about dataset metrics, please refer to the User Guide.

Sorry, no citations were found.

Restricted Files Selected

The restricted file(s) selected may not be downloaded because you have not been granted access.

Restricted Files Selected

The restricted file(s) selected may not be downloaded because you have not been granted access.

Click Continue to download the files you have access to download.

Delete Dataset

Are you sure you want to delete this dataset and all of its files? You cannot undelete this dataset.

Delete Draft Version

Are you sure you want to delete this draft version? Files will be reverted to the most recently published version. You cannot undelete this draft.

Unpublished Dataset Private URL

Private URL can only be used with unpublished versions of datasets.

Unpublished Dataset Private URL

Are you sure you want to disable the Private URL? If you have shared the Private URL with others they will no longer be able to use it to access your unpublished dataset.

Delete Files

The file(s) will be deleted after you click on the Delete button.

Files will not be removed from previously published versions of the dataset.

Compute

This dataset contains restricted files you may not compute on because you have not been granted access.

Deaccession Dataset

Are you sure you want to deaccession? The selected version(s) will no longer be viewable by the public.

Deaccession Dataset

Are you sure you want to deaccession this dataset? It will no longer be viewable by the public.

Version Differences Details

Please select two versions to view the differences.

Version Differences Details

Version:
Last Updated:

Select File(s)

Please select a file or files to be downloaded.

Select File(s)

Please select a file or files for access request.

Select File(s)

Please select a file or files to be deleted.

Select File(s)

Please select unrestricted file(s) to be restricted.

Select File(s)

Please select restricted file(s) to be unrestricted.

Select File(s)

Please select a file or files to be edited.

Select File(s)

Please select a file or files to be edited.

Edit Tags

Select existing file tags or create new tags to describe your files. Each file can have more than one tag.

Request Access

You need to Log In to request access to this file.

Dataset Terms

Please confirm and/or complete the information needed below in order to continue.

Package File Download

Use the Download URL in a Wget command or a download manager to download this package file. Download via web browser is not recommended. User Guide - Downloading a Dataverse Package via URL

- -

Download URL

https://darus.uni-stuttgart.de/api/access/datafile/

Request Access

Please confirm and/or complete the information needed below in order to request access to files in this dataset.

Compute Batch

Clear Batch

Dataset	Dataset Persistent ID

Compute Batch

File Restrictions

Terms of Access

Request Access

Enable access request

Submit for Review

You will not be able to make changes to this dataset while it is in review.

Publish Dataset

Are you sure you want to publish this dataset? Once you do so it must remain published.

Please use the publication checklist for authors (english version) to check your dataset for publication readiness.

Publish Dataset

This dataset cannot be published until Publications is published. Would you like to publish both right now?

Please use the publication checklist for authors (english version) to check your dataset for publication readiness.

Once you publish this dataset it must remain published.

Publish Dataset

Are you sure you want to republish this dataset?

Select if this is a minor or major version update.

Minor Release (2.1)

Major Release (3.0)

Publish Dataset

This dataset cannot be published until Publications is published by its administrator.

Publish Dataset

This dataset cannot be published until Publications and Timber Constructions are published.

Return to Author

Return this dataset to contributor for modification.

Contact DaRUS Support

DaRUS Support

From

Subject

Message

Please fill this out to prove you are not a robot.

+ =