Materials Testing Institute

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.

171 to 180 of 300 Results

weibull_model.py Jul 17, 2023 - Replication Data for: A new concept for column-to-column connections for multi-storey timber buildings - Numerical and experimental investigations Python Source Code - 6.1 KB - MD5: ad25101822fff7dda31d269e56cd310d Python file used to obtain the maximum capacity based on the Weibull model.
Replication Data for: Holes in glulam - Orientation and design of internal reinforcements Apr 20, 2023 - Publications Tapia Camú, Cristóbal, 2023, "Replication Data for: Holes in glulam - Orientation and design of internal reinforcements", https://doi.org/10.18419/DARUS-3440, DaRUS, V1 This repository contains the finite element models for Abaqus used to generate the results shown in the paper. The models are written in Python and were tested with Abaqus v2016. Three models are provided: Model of a glulam beam with a circular hole without reinforcement Model of a glulam beam with a circular hole with internal reinforcements (inte...
install_python_libs_for_abaqus_v2016.md Apr 20, 2023 - Replication Data for: Holes in glulam - Orientation and design of internal reinforcements Markdown Text - 2.0 KB - MD5: e35f95ce26c17df7833631b3c3a9a82d Instructions to install required python libraries for Abaqus v2016. Versions of Abaqus newer than v2022 include these libraries in the default installation, thus, there is no need to install them manually.
model_glulam_with_hole_no_reinforcement.py Apr 20, 2023 - Replication Data for: Holes in glulam - Orientation and design of internal reinforcements Python Source Code - 55.0 KB - MD5: 94971fa4175e607f25fd61b4bed3e91d Finite element model of a glulam beam with a hole reinforced without reinforcement.
model_inclined_internal_reinforcement.py Apr 20, 2023 - Replication Data for: Holes in glulam - Orientation and design of internal reinforcements Python Source Code - 95.7 KB - MD5: 6dfd4e8edbfc08c6e4fbd4b72aa6255c Finite element model of a glulam beam with a hole reinforced with internal inclined dowel-type reinforcements.
model_inclined_internal_reinforcement_with_crack.py Apr 20, 2023 - Replication Data for: Holes in glulam - Orientation and design of internal reinforcements Python Source Code - 98.4 KB - MD5: a6b08c2a451517b4642117af039307b4 Finite element model of a glulam beam with a hole reinforced with internal inclined dowel-type reinforcements. A discrete crack is added.
Erweiterter Anhang zur Dissertation "Entwicklung einer Gefügekarte für Laserstrahlschweißnähte aus Aluminiumlegierungen" Apr 6, 2023 - Joining Technology and Additive Manufacturing Böhm, Constantin, 2023, "Erweiterter Anhang zur Dissertation "Entwicklung einer Gefügekarte für Laserstrahlschweißnähte aus Aluminiumlegierungen"", https://doi.org/10.18419/DARUS-2825, DaRUS, V1, UNF:6:uIBdac2xikylaWsjsT8jvQ== [fileUNF] Das Datenset ist der erweiterte Anhang der Dissertation "Entwicklung einer Gefügekarte für Laserstrahlschweißnähte aus Aluminiumlegierungen" und enthält Abbildungen sowie Daten aus den einzelnen Kapiteln. Das Datenset soll die Weiterverwendung der Abbildungen sowie der erzeugten Daten erleichtern. Details zu den Abbildungen und Daten sind aus der D...
Bild3-3_Daten_6016A.csv Apr 6, 2023 - Erweiterter Anhang zur Dissertation "Entwicklung einer Gefügekarte für Laserstrahlschweißnähte aus Aluminiumlegierungen" Tabular Data - 3.2 KB - 12 Variables, 57 Observations - UNF:6:k6Rq3ZKiaE5rDmsM0beWdA== Daten für das Bild 3 im Kapitel 3 (Bild 3.3).
Bild3-3_Daten_6016B.csv Apr 6, 2023 - Erweiterter Anhang zur Dissertation "Entwicklung einer Gefügekarte für Laserstrahlschweißnähte aus Aluminiumlegierungen" Tabular Data - 1018 B - 12 Variables, 18 Observations - UNF:6:cY/+8WmyyQOab2OAaOSf3g== Daten für das Bild 3 im Kapitel 3 (Bild 3.3).
Bild3-5_Daten_Tang&Vollertsen.csv Apr 6, 2023 - Erweiterter Anhang zur Dissertation "Entwicklung einer Gefügekarte für Laserstrahlschweißnähte aus Aluminiumlegierungen" Tabular Data - 1.6 KB - 7 Variables, 33 Observations - UNF:6:QgJLC4NrAS0aVu76vEE5Og== Daten für das Bild 5 im Kapitel 3 (Bild 3.5).

weibull_model.py

Jul 17, 2023 - Replication Data for: A new concept for column-to-column connections for multi-storey timber buildings - Numerical and experimental investigations

Python Source Code - 6.1 KB -

Python file used to obtain the maximum capacity based on the Weibull model.

Replication Data for: Holes in glulam - Orientation and design of internal reinforcements

Apr 20, 2023 - Publications

Tapia Camú, Cristóbal, 2023, "Replication Data for: Holes in glulam - Orientation and design of internal reinforcements", https://doi.org/10.18419/DARUS-3440, DaRUS, V1

This repository contains the finite element models for Abaqus used to generate the results shown in the paper. The models are written in Python and were tested with Abaqus v2016. Three models are provided: Model of a glulam beam with a circular hole without reinforcement Model of a glulam beam with a circular hole with internal reinforcements (inte...

install_python_libs_for_abaqus_v2016.md

Apr 20, 2023 - Replication Data for: Holes in glulam - Orientation and design of internal reinforcements

Markdown Text - 2.0 KB -

Instructions to install required python libraries for Abaqus v2016. Versions of Abaqus newer than v2022 include these libraries in the default installation, thus, there is no need to install them manually.

model_glulam_with_hole_no_reinforcement.py

Apr 20, 2023 - Replication Data for: Holes in glulam - Orientation and design of internal reinforcements

Python Source Code - 55.0 KB -

Finite element model of a glulam beam with a hole reinforced without reinforcement.

model_inclined_internal_reinforcement.py

Apr 20, 2023 - Replication Data for: Holes in glulam - Orientation and design of internal reinforcements

Python Source Code - 95.7 KB -

Finite element model of a glulam beam with a hole reinforced with internal inclined dowel-type reinforcements.

model_inclined_internal_reinforcement_with_crack.py

Apr 20, 2023 - Replication Data for: Holes in glulam - Orientation and design of internal reinforcements

Python Source Code - 98.4 KB -

Finite element model of a glulam beam with a hole reinforced with internal inclined dowel-type reinforcements. A discrete crack is added.

Erweiterter Anhang zur Dissertation "Entwicklung einer Gefügekarte für Laserstrahlschweißnähte aus Aluminiumlegierungen"

Apr 6, 2023 - Joining Technology and Additive Manufacturing

Böhm, Constantin, 2023, "Erweiterter Anhang zur Dissertation "Entwicklung einer Gefügekarte für Laserstrahlschweißnähte aus Aluminiumlegierungen"", https://doi.org/10.18419/DARUS-2825, DaRUS, V1, UNF:6:uIBdac2xikylaWsjsT8jvQ== [fileUNF]

Das Datenset ist der erweiterte Anhang der Dissertation "Entwicklung einer Gefügekarte für Laserstrahlschweißnähte aus Aluminiumlegierungen" und enthält Abbildungen sowie Daten aus den einzelnen Kapiteln. Das Datenset soll die Weiterverwendung der Abbildungen sowie der erzeugten Daten erleichtern. Details zu den Abbildungen und Daten sind aus der D...

Bild3-3_Daten_6016A.csv

Apr 6, 2023 - Erweiterter Anhang zur Dissertation "Entwicklung einer Gefügekarte für Laserstrahlschweißnähte aus Aluminiumlegierungen"

Tabular Data - 3.2 KB - 12 Variables, 57 Observations -

Daten für das Bild 3 im Kapitel 3 (Bild 3.3).

Bild3-3_Daten_6016B.csv

Apr 6, 2023 - Erweiterter Anhang zur Dissertation "Entwicklung einer Gefügekarte für Laserstrahlschweißnähte aus Aluminiumlegierungen"

Tabular Data - 1018 B - 12 Variables, 18 Observations -

Daten für das Bild 3 im Kapitel 3 (Bild 3.3).

Bild3-5_Daten_Tang&Vollertsen.csv

Apr 6, 2023 - Erweiterter Anhang zur Dissertation "Entwicklung einer Gefügekarte für Laserstrahlschweißnähte aus Aluminiumlegierungen"

Tabular Data - 1.6 KB - 7 Variables, 33 Observations -

Daten für das Bild 5 im Kapitel 3 (Bild 3.5).

Add Data

Share Dataverse

Link Dataverse

Reset Modifications