Replication Data for: A new concept for column-to-column connections for multi-storey timber buildings - Numerical and experimental investigations

Version 2.0

Tapia Camú, Cristóbal; Aicher, Simon, 2023, "Replication Data for: A new concept for column-to-column connections for multi-storey timber buildings - Numerical and experimental investigations", https://doi.org/10.18419/darus-3318, DaRUS, V2, UNF:6:gvvNiEJEFzTByhaIsaPJVQ== [fileUNF]

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Description	This repository contains the experimental data of the tests described in the paper, as well as the python scripts used for the analysis of the data. Also, the finite element model in form of an Abaqus python script is included. (2023-01-05)
Subject	Engineering
Keyword	Bonded Timber, Column-to-Column Connection, Glued Laminated Timber, GLT, Beech Laminated Veneer Lumber, Beech LVL, Multi-storey Timber Buildings, Robotic Milling, Gap-Filling Adhesive, Rotational Stiffness
Related Publication	C. Tapia and S. Aicher (2023), "A new concept for column-to-column connections for multi-storey timber buildings - Numerical and experimental investigations", Engineering Structures, Vol. 295, pp. 116770doi: 10.1016/j.engstruct.2023.116770
Notes	Version 2.0 contains a bug-fix in the abaqus model (a wrong import statement at the beginning of the file)
License/Data Use Agreement	MIT License

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	1 to 10 of 47 Files	Original Format Archival Format (.tab)
	position_strain_gauges.pdf Adobe PDF - 101.4 KB Published Jul 17, 2023 34 Downloads MD5: 805048c0f31531a65afc673031e94f32 Description of the placement of the strain gauges during the experiments	Preview "position_strain_gauges.pdf" Access File File Access Public Download Options Adobe PDF Download Metadata Data File Citation EndNote XML RIS BibTeX
	pyproject.toml Unknown - 1.0 KB Published Jul 17, 2023 24 Downloads MD5: 19963effcbe747a32c541da34326bfd2 File for specifying minimum build system requirements for python projects according to PEP 518.	Access File File Access Public Download Options Original File Format Download Metadata Data File Citation EndNote XML RIS BibTeX
	Readme.md Markdown Text - 2.6 KB Published Jul 17, 2023 27 Downloads MD5: 03f1f6388b162749e689fec803b50e29 Readme file.	Preview "Readme.md" Access File File Access Public Download Options Markdown Text Download Metadata Data File Citation EndNote XML RIS BibTeX
	components.py abaqus_model/Python Source Code - 643 B Published Jul 17, 2023 27 Downloads MD5: b2a3cf5c7ea06198deb3194faac639bb Common components needed for the definition of the finite element model of the connection.	Access File File Access Public Download Options Python Source Code Download Metadata Data File Citation EndNote XML RIS BibTeX
	model_connection.py abaqus_model/Python Source Code - 44.4 KB Published Aug 31, 2023 20 Downloads MD5: 0402caab3ebce847f2a080174470e1e9 Abaqus parametric finite element model of the column-to-column connection.	Access File File Access Public Download Options Python Source Code Download Metadata Data File Citation EndNote XML RIS BibTeX
	model_connection_udl.py abaqus_model/Python Source Code - 9.1 KB Published Jul 17, 2023 22 Downloads MD5: 56ca293df78cd439114fbdfb18b2d9f8 Abaqus parametric finite element model of the column-to-column connection considering the uniformly distributed load on the free surface of the column.	Access File File Access Public Download Options Python Source Code Download Metadata Data File Citation EndNote XML RIS BibTeX
	parameters.json abaqus_model/JSON - 267 B Published Jul 17, 2023 39 Downloads MD5: b7ab0e289249f5da4d719f714e179810 Parameters specifying the geometry of the studied connection.	Access File File Access Public Download Options JSON Download Metadata Data File Citation EndNote XML RIS BibTeX
	positions_dms.json abaqus_model/JSON - 333 B Published Jul 17, 2023 37 Downloads MD5: 740919e2a2c5ed3201da3fda0c25c258 Positions of the strain gauges used during the experiments.	Access File File Access Public Download Options JSON Download Metadata Data File Citation EndNote XML RIS BibTeX
	column_head.py analytical_model/Python Source Code - 16.9 KB Published Jul 17, 2023 22 Downloads MD5: 77b4382cdb0df2c64d31db449b967bc9 Python file defining the analytical model for the connections.	Access File File Access Public Download Options Python Source Code Download Metadata Data File Citation EndNote XML RIS BibTeX
	column_head_model.py analytical_model/Python Source Code - 3.8 KB Published Jul 17, 2023 22 Downloads MD5: c9ac0eaf65eeae0930b78e9f8ff25692 Python file to test the analytical model.	Access File File Access Public Download Options Python Source Code Download Metadata Data File Citation EndNote XML RIS BibTeX

Citation Metadata

Persistent Identifier	doi:10.18419/darus-3318
Publication Date	2023-07-17
Title	Replication Data for: A new concept for column-to-column connections for multi-storey timber buildings - Numerical and experimental investigations
Author	Tapia Camú, Cristóbal (University of Stuttgart) - ORCID: 0000-0003-2228-1686 Aicher, Simon (University of Stuttgart) - ORCID: 0000-0003-1759-9884
Point of Contact	Use email button above to contact. Tapia Camú, Cristobal (University of Stuttgart) Division of Timber Constructions, MPA (University of Stuttgart)
Description	This repository contains the experimental data of the tests described in the paper, as well as the python scripts used for the analysis of the data. Also, the finite element model in form of an Abaqus python script is included. (2023-01-05)
Subject	Engineering
Keyword	Bonded Timber Column-to-Column Connection Glued Laminated Timber https://www.wikidata.org/wiki/Q643449 (Wikidata) GLT https://www.wikidata.org/wiki/Q643449 (Wikidata) Beech Laminated Veneer Lumber https://www.wikidata.org/wiki/Q5791381 (Wikidata) Beech LVL https://www.wikidata.org/wiki/Q5791381 (Wikidata) Multi-storey Timber Buildings Robotic Milling Gap-Filling Adhesive Rotational Stiffness https://www.wikidata.org/wiki/Q106886041 (Wikidata)
Related Publication	C. Tapia and S. Aicher (2023), "A new concept for column-to-column connections for multi-storey timber buildings - Numerical and experimental investigations", Engineering Structures, Vol. 295, pp. 116770 doi 10.1016/j.engstruct.2023.116770 https://doi.org/10.1016/j.engstruct.2023.116770
Notes	Version 2.0 contains a bug-fix in the abaqus model (a wrong import statement at the beginning of the file)
Production Date	2021
Production Location	Materials Testing Institute, University of Stuttgart
Funding Information	DFG: EXC 2120/1 - 390831618
Project	EXC IntCDC (Level 0) Research Project 3 (Level 1)
Depositor	Tapia Camú, Cristóbal
Deposit Date	2023-01-05

Process Metadata

Software

Autosoft 3000 Version: v1.5.5 (build 147) Proprietary (Peekel Instruments)
Test&Motion Plus Version: 5.4.6.1 Proprietary (SSM Testronik)
Cython Version: 0.29.34 (http://cython.org/) Apache
Ipython Version: 8.12.0 (https://ipython.org) BSD-3-Clause
Matplotlib Version: 3.7.1 (https://matplotlib.org) PSF (Hunter, J. D.. (2007). Matplotlib: A 2D graphics environment. Computing in Science & Engineering, 9(3), 90-95. https://doi.org/10.1109/MCSE.2007.55)
Mpl-fill-cmap-between Version: 0.3.1 (https://github.com/cristobaltapia/mpl_fill_cmap_between) MIT
NumPy Version: 1.24.2 (https://www.numpy.org) BSD-3-Clause (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., … Oliphant, T. E.. (2020). Array programming with NumPy. Nature, 585(7825), 357-362. https://doi.org/10.1038/s41586-020-2649-2)
Openpyxl Version: 3.1.2 (https://openpyxl.readthedocs.io) MIT
pandas Version: 1.5.3 (https://pypi.org/project/pandas/) (Wes McKinney. (2010). Data Structures for Statistical Computing in Python. In Stéfan van der Walt & Jarrod Millman (Eds.), Proceedings of the 9th Python in Science Conference (pp. 56-61). https://doi.org/10.25080/Majora-92bf1922-00a)
Pybaqus Version: 0.2.12 (https://github.com/cristobaltapia/pybaqus) (Tapia, C.. (2023). Pybaqus: A Python library for the visualization and post-processing of Abaqus ASCII result files.)
Pyqt5 Version: 5.15.9 (https://www.riverbankcomputing.com/software/pyqt/) GPL v3
Pythreejs Version: 2.4.2 (https://github.com/jupyter-widgets/pythreejs) BSD-3-Clause
Requests Version: 2.31.0 (https://requests.readthedocs.io) Apache 2.0
Scipy Version: 1.10.1 (https://scipy.org/) (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., … SciPy 1.0 Contributors. (2020). SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python. Nature Methods, 17, 261-272. https://doi.org/10.1038/s41592-019-0686-2)
Seaborn Version: 0.12.2 (https://pypi.org/project/seaborn/) (Waskom, M. L.. (2021). seaborn: statistical data visualization. Journal of Open Source Software, 6(60), 3021. https://doi.org/10.21105/joss.03021)

Instruments

Universal testing machine HPM 1600, Ernst+Co (Universal testing machine capable of applying tensile and compressive loads) , Serial Number: 28/100.07-001 , Software: Test&Motion Plus , Location: Pfaffenwaldring 4b, Main testing laboratory
Autolog 3000, Peekel Instruments (Universal data acquisition device and amplifier) , Serial Number: 2893009 , Software: Autosoft 3000 , Location: Pfaffenwaldring 4b

Engineering Metadata

Measured Variables	Load [Newton] ; Error: 1.0 : 0.0 : 950000.0 Strains [-] Displacement [millimeter]
Temporal Resolution	, Interval: 1.0 seconds

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