Metrics
0 Downloads
Share Dataset

Share this dataset on your favorite social media networks.

Research data for "Damage detection in a semi-active structural control system based on reinforcement learning"

Version 1.0

Jedlińska, Aleksandra; Pisarski, Dominik; Mikułowski, Grzegorz; Błachowski, Bartłomiej; Jankowski, Łukasz, 2024, "Research data for "Damage detection in a semi-active structural control system based on reinforcement learning"", https://doi.org/10.18150/SXTHJM, RepOD, V1

Learn about Data Citation Standards.

Description

This dataset contains the research data used for preparation of the publication:

Jedlińska A., Pisarski D., Mikułowski G., Błachowski B., Jankowski Ł., Damage detection in a semi-active structural control system based on reinforcement learning, ISMA 2024, International Conference on Noise and Vibration Engineering (ISMA 2024), 2024-09-09/09-11, Leuven (BE), 9 pages, 2024.

This research has been supported by the National Science Centre, Poland, under grant agreement 2020/39/B/ST8/02615. The title of the project is "Reinforcement learning for semi-active structural control and decentralized mitigation of vibrations: development of new algorithms and assessment of of their efficiency". The aim of the project is the development and application of the machine learning techniques of reinforcement learning (RL) in tasks of semi-active structural control. The ultimate goal is the design of a framework that learns quasi-optimal control by itself in a repeated trial-and-error interactions with simulated structures.

The data files are in the txt/CSV format, and they have been exported using the Python programming language. They define the investigated structure (an 11-DOF shear-type building with a semi-active TMD) and contain the control results defined as the mean total energy of the structure subjected to a seismic-type excitation. Two control modes are considered (RL and optimum passive TMD) and three training/application modes, as described in the readme.txt file and in the publication.

Subject
Computer and Information Science; Engineering
Keyword

semi-active control, structural control, reinforcement learning

Related Publication

Jedlińska A., Pisarski D., Mikułowski G., Błachowski B., Jankowski Ł., Damage detection in a semi-active structural control system based on reinforcement learning, ISMA 2024, International Conference on Noise and Vibration Engineering (ISMA 2024), 2024-09-09/09-11, Leuven (BE), 9 pages, 2024. https://doi.org/10.58286/29606 https://doi.org/10.58286/29606 doi: doi.org/10.58286/29606

CC0 Creative Commons Zero 1.0 CC0 Creative Commons Zero 1.0

Find
1 to 10 of 13 Files

  Select all 13 files in this dataset.  

readme.txt
Plain Text - 4.5 KB - Sep 19, 2024 - 0 Downloads
MD5: 6abb0ec9b31991b0731b322c236dafdc
License: CC0 Creative Commons Zero 1.0
Readme file
Preview
Download
test1-RL.tab
Tabular Data - Original format: Comma Separated Values - 35.3 KB - Sep 19, 2024 - 0 Downloads
License: CC0 Creative Commons Zero 1.0
1 Variables, 1999 Observations - UNF:6:8PRafI/2VvIE5Q4W5DXQsA==
Mean total energy of the structure (in each of the 2000 simulated control episodes), subjected to the RL control. The RL agent was trained on undamaged structure and applied to undamaged structure. The data were used to compute Table 1 and columns 1-2 of Table 2 in the publication.
Preview
test1-TMD.tab
Tabular Data - Original format: Comma Separated Values - 35.1 KB - Sep 19, 2024 - 0 Downloads
License: CC0 Creative Commons Zero 1.0
1 Variables, 1999 Observations - UNF:6:QDchA69p7xKnFhCSSQseLg==
Mean total energy of the structure (in each of the 2000 simulated control episodes), equipped with the optimally tuned passive TMD. The data were used to compute Table 1 and columns 1-2 of Table 2 in the publication.
Preview
test2-RL.tab
Tabular Data - Original format: Comma Separated Values - 35.2 KB - Sep 19, 2024 - 0 Downloads
License: CC0 Creative Commons Zero 1.0
1 Variables, 1999 Observations - UNF:6:zOQdJbtfam5iD5d65BbmZA==
Mean total energy of the structure (in each of the 2000 simulated control episodes), subjected to the RL control. The RL agent was trained on undamaged structure and applied to undamaged structure. The data were used to compute columns 3-4 of Table 2 in the publication.
Preview
test2-TMD.tab
Tabular Data - Original format: Comma Separated Values - 35.2 KB - Sep 19, 2024 - 0 Downloads
License: CC0 Creative Commons Zero 1.0
1 Variables, 1999 Observations - UNF:6:Sjceu1zzsSyjWuXfI0VjPw==
Mean total energy of the structure (in each of the 2000 simulated control episodes), equipped with the optimally tuned passive TMD. The data were used to compute columns 3-4 of Table 2 in the publication.
Preview
test3-RL.tab
Tabular Data - Original format: Comma Separated Values - 35.3 KB - Sep 19, 2024 - 0 Downloads
License: CC0 Creative Commons Zero 1.0
1 Variables, 1999 Observations - UNF:6:uWSXqnqytT8d1gOUd0z4kg==
Mean total energy of the structure (in each of the 2000 simulated control episodes), subjected to the RL control. The RL agent was trained on undamaged structure and applied to undamaged structure. The data were used to compute Table 3 in the publication.
Preview
test3-TMD.tab
Tabular Data - Original format: Comma Separated Values - 35.1 KB - Sep 19, 2024 - 0 Downloads
License: CC0 Creative Commons Zero 1.0
1 Variables, 1999 Observations - UNF:6:gRnGgxfuc4SZ5oKqJrjkZQ==
Mean total energy of the structure (in each of the 2000 simulated control episodes), equipped with the optimally tuned passive TMD. The data were used to compute Table 3 in the publication.
Preview
structure-mass-matrix-M.tab
Tabular Data - Original format: Comma Separated Values - 491 B - Sep 19, 2024 - 0 Downloads
License: CC0 Creative Commons Zero 1.0
12 Variables, 12 Observations - UNF:6:BydFUgD4EtqiK4jeO4AWHA==
The structural mass matrix M in eq.1 (12 DOFs x 12 DOFs)
Preview
structure-stiffness-matrix-K.tab
Tabular Data - Original format: Comma Separated Values - 590 B - Sep 19, 2024 - 0 Downloads
License: CC0 Creative Commons Zero 1.0
12 Variables, 12 Observations - UNF:6:iL/84niaPm9fkbORxgjprQ==
The structural stiffness matrix K in eq.1 (12 DOFs x 12 DOFs)
Preview
structure-damping-matrix-C-optimal-TMD.tab
Tabular Data - Original format: Comma Separated Values - 1.0 KB - Sep 19, 2024 - 0 Downloads
License: CC0 Creative Commons Zero 1.0
12 Variables, 12 Observations - UNF:6:qRl7AHKrqtKYSX6JGuQLHQ==
The structural damping matrix C with the optimally tuned TMD damping level in eq.1 (12 DOFs x 12 DOFs)
Preview
Select File(s)

Please select a file or files to be deleted.

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.

Select File(s)

Please select a file or files to be edited.

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 license

For selected file(s) set a license to

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 restricted file(s) to be unrestricted.

Request Access

  You need to Log In/Sign Up to request access to this file.

Continue
Dataset Terms

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

Asterisks indicate required fields

Request Access

Access to file(s) subject to additional consent under following conditions:

Accept
Package File Download
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.

Embargo

Embargo

Are you sure you want to lift the embargo?

Once you lift the embargo, you will not be able to set it again.

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.

Dataset Private URL

Use a Private URL to allow those without Dataverse accounts to access your dataset. For more information about the Private URL feature, please refer to the User Guide.

Private URL has not been created.

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 dataset.

Submit for Review

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

Submit
Publish Dataset

This dataset cannot be published until Instytut Podstawowych Problemów Techniki Polskiej Akademii Nauk is published. Would you like to publish both right now?

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.

Publish Dataset

This dataset cannot be published until Instytut Podstawowych Problemów Techniki Polskiej Akademii Nauk is published by its administrator.

Publish Dataset

This dataset cannot be published until Instytut Podstawowych Problemów Techniki Polskiej Akademii Nauk and RepOD are published.

Return for modification


Send a copy of this message to the return e-mail address.
OK
Deaccession Dataset

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