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

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Tapia Camú, Cristóbal; Aicher, Simon, 2021, "Replication Data for: Survival analysis of tensile strength variation and simulated length-size effect along oak boards", https://doi.org/10.18419/darus-864, DaRUS, V2, UNF:6:C43cTFx3ny8kNxl+93ca+g== [fileUNF]

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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, Localized Tensile Strength, Size Effect
Related Publication	Tapia C. and Aicher S. (2022), "Survival analysis of tensile strength variation and simulated length-size effect along oak boards", Journal of Engineering Mechanics 148(1):04021130 doi: 10.1061/(ASCE)EM.1943-7889.0002006
Data Generation	Experiment

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	1 to 7 of 7 Files	Original Format Archival Format (.tab)
	board_simulation.tar.gz scripts/Gzip Archive - 34.5 KB Published Feb 17, 2021 10 Downloads MD5: 72dca8eeac6b55bfceb0dd4cea248f00 Scripts used for the simulation of tensile strength and modulus of elasticity profiles along boards.	Access File File Access Public Download Options Gzip Archive Download Metadata Data File Citation EndNote XML RIS BibTeX
	censored_analysis_data_all.tab data/Tabular Data - 57.3 KB Published Feb 17, 2021 12 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].	Preview Access File File Access Public Download Options Comma Separated Values (Original File Format) Tab-Delimited RData Download Metadata Variable Metadata Data File Citation EndNote XML RIS BibTeX Explore Options View Data
	censored_analysis_data_sub.tab data/Tabular Data - 47.5 KB Published Feb 17, 2021 6 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].	Preview Access File File Access Public Download Options Comma Separated Values (Original File Format) Tab-Delimited RData Download Metadata Variable Metadata Data File Citation EndNote XML RIS BibTeX Explore Options View Data
	global_tensile_strength.tab data/Tabular Data - 972 B Published Feb 17, 2021 6 Downloads 2 Variables, 47 Observations UNF:6:yfWO1ewJsOyMfF2URTK+6A== Global tensile strength values for each board. Units: [MPa]	Preview Access File File Access Public Download Options Comma Separated Values (Original File Format) Tab-Delimited RData Download Metadata Variable Metadata Data File Citation EndNote XML RIS BibTeX Explore Options View Data
	local_tensile_strengths.tab data/Tabular Data - 4.2 KB Published Feb 17, 2021 8 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]	Preview Access File File Access Public Download Options Comma Separated Values (Original File Format) Tab-Delimited RData Download Metadata Variable Metadata Data File Citation EndNote XML RIS BibTeX Explore Options View Data
	survival_analysis.tar.gz scripts/Gzip Archive - 50.5 KB Published Feb 17, 2021 9 Downloads MD5: 1b0e0b2d85d158a489d68633a52d3616 Scripts used for the survival analysis of the localized tensile strength along boards.	Access File File Access Public Download Options Gzip Archive Download Metadata Data File Citation EndNote XML RIS BibTeX
	survival_analysis_julia.tar.gz scripts/Gzip Archive - 55.8 KB Published Jun 28, 2021 3 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.	Access File File Access Public Download Options Gzip Archive Download Metadata Data File Citation EndNote XML RIS BibTeX

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. (2022), "Survival analysis of tensile strength variation and simulated length-size effect along oak boards", Journal of Engineering Mechanics 148(1):04021130 doi: 10.1061/(ASCE)EM.1943-7889.0002006 https://doi.org/10.1061/(ASCE)EM.1943-7889.0002006 Tapia, C. (2022). Variation of mechanical properties in oak boards and its effect on glued laminated timber: Application to a stochastic finite element glulam strength model [Ph.D. thesis, Materials Testing Institute, University of Stuttgart, Germany]. Cuvillier Verlag. ISBN 978-3-7369-7588-0; 978-3-73696-588-1. url: https://cuvillier.de/de/shop/publications/8616-variation-of-mechanical-properties-in-oak-boards-and-its-effect-on-glued-laminated-timber https://cuvillier.de/de/shop/publications/8616-variation-of-mechanical-properties-in-oak-boards-and-its-effect-on-glued-laminated-timber
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 Version: 3.6 (https://www.python.org/) MIT (Van Rossum, G., & Drake, F. L.. Python 3 Reference Manual. Scotts Valley, CA: CreateSpace (2009).) NumPy Version: 1.17.3 (https://numpy.org/) MIT (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) Lifelines Version: 0.25.5 (https://doi.org/10.5281/zenodo.4050560) MIT License (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.) SciPy Version: 1.2.0 (https://scipy.org/scipylib/) BSD-3-Clause License (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) Matplotlib Version: 3.3.3 (https://matplotlib.org) BSD (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) Poetry Version: 1.1.4 (https://python-poetry.org/) MIT Pandas Version: 0.25.2 (https://pandas.pydata.org/) BSD 3-Clause (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) Julia Version: 1.6.1 (https://julialang.org/) MIT (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)
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]

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