Is there an open access vibration method-based concrete structure health monitoring dataset for structural damage detection?

To find relevant datasets for your research on structural damage detection using machine learning and vibration-based methods, consider the following approaches:

Online Databases: Check online repositories and databases for civil engineering and structural health monitoring datasets. Some sources include the National Institute of Standards and Technology (NIST) and government agencies responsible for infrastructure data. Websites like Data.gov or academic repositories might have relevant datasets.

Academic Research: Review research papers and publications in the field of structural health monitoring and machine learning. Many researchers share their datasets as supplementary materials to their papers. Look for papers that focus on vibration-based damage detection in concrete structures.

Collaborate with Researchers: Reach out to researchers and institutions actively working on structural health monitoring and machine learning in civil engineering. They may be willing to share or collaborate on datasets for your research.

Data Generation: Consider generating your own dataset if access to existing datasets is limited. You can instrument a concrete structure, collect vibration data under controlled conditions, and introduce artificial damage to simulate real-world scenarios.

Machine Learning Competitions: Occasionally, machine learning competitions and challenges focus on structural health monitoring or damage detection tasks. Participating in these competitions can provide access to relevant datasets.

Open Data Initiatives: Keep an eye on open data initiatives and collaborations related to civil engineering and infrastructure. Such initiatives may release datasets for research purposes.

Professional Organizations: Explore websites and resources provided by professional organizations related to civil engineering and structural health monitoring, such as the American Society of Civil Engineers (ASCE) or the International Society for Structural Health Monitoring of Intelligent Infrastructure (ISHMII).

Remember to ensure that any dataset you obtain is properly documented, labeled, and, if applicable, has the necessary ethical approvals. Additionally, consider data privacy and any legal or ethical considerations when working with structural health monitoring data.

While there may not be a specific open-access dataset that meets your exact criteria, a combination of the above approaches should help you find relevant data or lead you to researchers and organizations actively involved in this area who may be able to assist with your research.

Hossein Safar Yousefifard

Dear Faraz Rasekhi Azmi Sabet

One the most popular benchmarks in the field of health monitoring is the Z24 bridge which is a prestressed concrete bridge. You can obtain the data set of this bridge using bellow link:

https://bwk.kuleuven.be/bwm/z24

Good luck.

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