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Cross-correlation difference matrix based structural damage detection approach for building structures

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Abstract

Damages to various building structures often occur over their service life and can occasionally lead to severe structural failures, threatening the lives of its residents. In recent years, special attention has been paid to investigating various damages in buildings at the early stage to avoid failures and thereby minimize maintenance. Structural health monitoring can be used as a tool for damage quantification using vibration measurements. The application of various sensors for measuring accelerations, velocity and displacement in civil infrastructure monitoring has a long history in vibration-based approaches. These types of sensors reveal dynamic characteristics which are global in nature and ineffective in case of minor damage identification. In a practical application, the available damage detection approaches are not fully capable of quickly sensing and accurately identifying the realistic damage in structures. Research on damage identification from strain data is an interesting topic in recent days. Some work on the cross-correlation approach is now a centre of attraction and strictly confined to bridge or symmetric structures. The present paper uses strain data to validate the cross-correlation approach for detecting damage to building structures. The effectiveness of the methodology has been illustrated firstly on a simply supported beam, then on a 5-storey steel frame and a 6-storey scaled-down reinforced concrete shear building and lastly on a frame structure with moving load as a special case. The results show that this approach has the potential to identify damages in different kinds of civil infrastructure.

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Data availability

The authors confirm that the data supporting the findings of this study are available within the article. The raw data that support the findings of this study are available upon a reasonable request.

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Acknowledgments

This work was supported by the Council of Scientific & Industrial Research (CSIR), India. The authors would like to thank Director, CBRI Roorkee for giving permission for publishing the paper. The authors also thank Mr. Naman Garg, Mr. Sameer Yadav and Mr. Dinesh Kumar for their support in conducting the experiments.

Funding

This study was funded by the Council of Scientific & Industrial Research, India and Central Building Research Institute Roorkee, India.

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Correspondence to Soraj Kumar Panigrahi.

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Panigrahi, S.K., Patel, C., Chourasia, A. et al. Cross-correlation difference matrix based structural damage detection approach for building structures. J Civil Struct Health Monit (2024). https://doi.org/10.1007/s13349-024-00781-1

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