Dissertation Cristobal Tapia

Repository containing the relevant data and code for the PhD of Cristóbal Tapia Camú

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1 to 10 of 26 Results

model_usage_example.tar.gz Mar 21, 2022 - Source code for: Stuttgart Stochastic Strength Glulam Model (S3GluM) 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).
Python_Libs_for_Abaqus_2017.md Mar 21, 2022 - Source code for: Stuttgart Stochastic Strength Glulam Model (S3GluM) Markdown Text - 1.8 KB - MD5: 82938a52bd5d16fdaa0314ba5a065a3b Instructions to install additional python dependencies in the Abaqus 2017 environment. This is required to run the model.
S3GluM_data_analysis.tar.gz Mar 21, 2022 - Source code for: Stuttgart Stochastic Strength Glulam Model (S3GluM) 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.
S3GluM_finite_element.tar.gz Mar 21, 2022 - Source code for: Stuttgart Stochastic Strength Glulam Model (S3GluM) 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.
S3GluM_material_simulation.tar.gz Mar 21, 2022 - Source code for: Stuttgart Stochastic Strength Glulam Model (S3GluM) 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.
umat_2d_softening_test.tar.gz Mar 21, 2022 - Source code for: Stuttgart Stochastic Strength Glulam Model (S3GluM) 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...
survival_analysis_julia.tar.gz Jun 28, 2021 - Replication Data for: Survival analysis of tensile strength variation and simulated length-size effect along oak boards 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.
board_simulation.tar.gz Feb 17, 2021 - Replication Data for: Survival analysis of tensile strength variation and simulated length-size effect along oak boards Gzip Archive - 34.5 KB - MD5: 72dca8eeac6b55bfceb0dd4cea248f00 Scripts used for the simulation of tensile strength and modulus of elasticity profiles along boards.
censored_analysis_data_all.tab Feb 17, 2021 - Replication Data for: Survival analysis of tensile strength variation and simulated length-size effect along oak boards Tabular Data - 57.3 KB - 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 analysi...
censored_analysis_data_sub.tab Feb 17, 2021 - Replication Data for: Survival analysis of tensile strength variation and simulated length-size effect along oak boards Tabular Data - 47.5 KB - 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...

model_usage_example.tar.gz

Mar 21, 2022 - Source code for: Stuttgart Stochastic Strength Glulam Model (S3GluM)

Gzip Archive - 1.1 MB -

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).

Python_Libs_for_Abaqus_2017.md

Mar 21, 2022 - Source code for: Stuttgart Stochastic Strength Glulam Model (S3GluM)

Markdown Text - 1.8 KB -

Instructions to install additional python dependencies in the Abaqus 2017 environment. This is required to run the model.

S3GluM_data_analysis.tar.gz

Mar 21, 2022 - Source code for: Stuttgart Stochastic Strength Glulam Model (S3GluM)

Gzip Archive - 2.8 KB -

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.

S3GluM_finite_element.tar.gz

Mar 21, 2022 - Source code for: Stuttgart Stochastic Strength Glulam Model (S3GluM)

Gzip Archive - 27.2 KB -

Python package that defines classes and functions to run the Montecarlo finite element simulations of the glulam model.

S3GluM_material_simulation.tar.gz

Mar 21, 2022 - Source code for: Stuttgart Stochastic Strength Glulam Model (S3GluM)

Gzip Archive - 10.5 KB -

Python package that defines classes and functions used to generate the material properties used in the stochastic finite element simulations.

umat_2d_softening_test.tar.gz

Mar 21, 2022 - Source code for: Stuttgart Stochastic Strength Glulam Model (S3GluM)

Gzip Archive - 6.7 KB -

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...

survival_analysis_julia.tar.gz

Jun 28, 2021 - Replication Data for: Survival analysis of tensile strength variation and simulated length-size effect along oak boards

Gzip Archive - 55.8 KB -

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.

board_simulation.tar.gz

Feb 17, 2021 - Replication Data for: Survival analysis of tensile strength variation and simulated length-size effect along oak boards

Gzip Archive - 34.5 KB -

Scripts used for the simulation of tensile strength and modulus of elasticity profiles along boards.

censored_analysis_data_all.tab

Feb 17, 2021 - Replication Data for: Survival analysis of tensile strength variation and simulated length-size effect along oak boards

Tabular Data - 57.3 KB - 6 Variables, 705 Observations -

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 analysi...

censored_analysis_data_sub.tab

Feb 17, 2021 - Replication Data for: Survival analysis of tensile strength variation and simulated length-size effect along oak boards

Tabular Data - 47.5 KB - 6 Variables, 585 Observations -

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...

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