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A platform for research: civil engineering, architecture and urbanism
Structural Health Monitoring Using Multifractal Cross-correlation Analysis
Structures undergo deterioration of strength after construction due to loading and environmental impacts. Structural health monitoring (SHM) is of paramount importance to ensure the safe functioning of structures, especially after natural disasters. The introduction of smart structures increased the potential of structural health monitoring (SHM) process. This study proposes a novel multifractal cross-correlation analysis (MFCCA)-based framework for SHM. Damage diagnosis was carried out by measuring the acceleration responses from a four-storey analytical structure, developed in SAP2000. The study determined the damage location through MFCCA method by cross-correlating the responses from various floors with that of the ground floor. A damage index (DI) is propounded to investigate the potential of MFCCA approach of health monitoring through proper quantification of the damage location estimates. The damage index had quantified the MFCCA results, which reinforced the reliability of this new health monitoring technique. It is evident from the results that the MFCCA approach of damage location has effectively detected damage, even with the interference of noise into the signals.
Structural Health Monitoring Using Multifractal Cross-correlation Analysis
Structures undergo deterioration of strength after construction due to loading and environmental impacts. Structural health monitoring (SHM) is of paramount importance to ensure the safe functioning of structures, especially after natural disasters. The introduction of smart structures increased the potential of structural health monitoring (SHM) process. This study proposes a novel multifractal cross-correlation analysis (MFCCA)-based framework for SHM. Damage diagnosis was carried out by measuring the acceleration responses from a four-storey analytical structure, developed in SAP2000. The study determined the damage location through MFCCA method by cross-correlating the responses from various floors with that of the ground floor. A damage index (DI) is propounded to investigate the potential of MFCCA approach of health monitoring through proper quantification of the damage location estimates. The damage index had quantified the MFCCA results, which reinforced the reliability of this new health monitoring technique. It is evident from the results that the MFCCA approach of damage location has effectively detected damage, even with the interference of noise into the signals.
Structural Health Monitoring Using Multifractal Cross-correlation Analysis
Lecture Notes in Civil Engineering
Laishram, Boeing (editor) / Tawalare, Abhay (editor) / Anwar, Ayisha (author) / Adarsh, S. (author)
International Conference on Advances in Civil Engineering ; 2020
2021-12-15
11 pages
Article/Chapter (Book)
Electronic Resource
English
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