Composite Multiscale Cross-Sample Entropy Analysis for Long-Term Structural Health Monitoring of Residential Buildings
This study proposesd a novel, entropy-based structural health monitoring (SHM) system for measuring microvibration signals generated by actual buildings. A structural health diagnosis interface was established for demonstration purposes. To enhance the reliability and accuracy of entropy evaluation...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-12-01
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| Series: | Entropy |
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| Online Access: | https://www.mdpi.com/1099-4300/23/1/60 |
| _version_ | 1797542821811453952 |
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| author | Tzu-Kang Lin Dong-You Lee |
| author_facet | Tzu-Kang Lin Dong-You Lee |
| author_sort | Tzu-Kang Lin |
| collection | DOAJ |
| description | This study proposesd a novel, entropy-based structural health monitoring (SHM) system for measuring microvibration signals generated by actual buildings. A structural health diagnosis interface was established for demonstration purposes. To enhance the reliability and accuracy of entropy evaluation at various scales, composite multiscale cross-sample entropy (CMSCE) was adopted to increase the number of coarse-grained time series. The degree of similarity and asynchrony between ambient vibration signals measured on adjacent floors was used as an in-dicator for structural health assessment. A residential building that has been monitored since 1994 was selected for long-term monitoring. The accumulated database, including both the earthquake and ambient vibrations in each seismic event, provided the possibility to evaluate the practicability of the CMSCE-based method. Entropy curves obtained for each of the years, as well as the stable trend of the corresponding damage index (DI) graphs, demonstrated the relia-bility of the proposed SHM system. Moreover, two large earthquake events that occurred near the monitoring site were analyzed. The results revealed that the entropy values may have been slightly increased after the earthquakes. Positive DI values were obtained for higher floors, which could provide an early warning of structural instability. The proposed SHM system is highly stable and practical. |
| first_indexed | 2024-03-10T13:35:55Z |
| format | Article |
| id | doaj.art-83280a1c4fee4cb3a633eae915fcf1d9 |
| institution | Directory Open Access Journal |
| issn | 1099-4300 |
| language | English |
| last_indexed | 2024-03-10T13:35:55Z |
| publishDate | 2020-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Entropy |
| spelling | doaj.art-83280a1c4fee4cb3a633eae915fcf1d92023-11-21T07:31:37ZengMDPI AGEntropy1099-43002020-12-012316010.3390/e23010060Composite Multiscale Cross-Sample Entropy Analysis for Long-Term Structural Health Monitoring of Residential BuildingsTzu-Kang Lin0Dong-You Lee1Department of Civil Engineering, National Chiao Tung University, Hsinchu 30010, TaiwanDepartment of Civil Engineering, National Chiao Tung University, Hsinchu 30010, TaiwanThis study proposesd a novel, entropy-based structural health monitoring (SHM) system for measuring microvibration signals generated by actual buildings. A structural health diagnosis interface was established for demonstration purposes. To enhance the reliability and accuracy of entropy evaluation at various scales, composite multiscale cross-sample entropy (CMSCE) was adopted to increase the number of coarse-grained time series. The degree of similarity and asynchrony between ambient vibration signals measured on adjacent floors was used as an in-dicator for structural health assessment. A residential building that has been monitored since 1994 was selected for long-term monitoring. The accumulated database, including both the earthquake and ambient vibrations in each seismic event, provided the possibility to evaluate the practicability of the CMSCE-based method. Entropy curves obtained for each of the years, as well as the stable trend of the corresponding damage index (DI) graphs, demonstrated the relia-bility of the proposed SHM system. Moreover, two large earthquake events that occurred near the monitoring site were analyzed. The results revealed that the entropy values may have been slightly increased after the earthquakes. Positive DI values were obtained for higher floors, which could provide an early warning of structural instability. The proposed SHM system is highly stable and practical.https://www.mdpi.com/1099-4300/23/1/60structural health monitoringmulti-scalecomposite cross-sample entropylong-term evaluation |
| spellingShingle | Tzu-Kang Lin Dong-You Lee Composite Multiscale Cross-Sample Entropy Analysis for Long-Term Structural Health Monitoring of Residential Buildings Entropy structural health monitoring multi-scale composite cross-sample entropy long-term evaluation |
| title | Composite Multiscale Cross-Sample Entropy Analysis for Long-Term Structural Health Monitoring of Residential Buildings |
| title_full | Composite Multiscale Cross-Sample Entropy Analysis for Long-Term Structural Health Monitoring of Residential Buildings |
| title_fullStr | Composite Multiscale Cross-Sample Entropy Analysis for Long-Term Structural Health Monitoring of Residential Buildings |
| title_full_unstemmed | Composite Multiscale Cross-Sample Entropy Analysis for Long-Term Structural Health Monitoring of Residential Buildings |
| title_short | Composite Multiscale Cross-Sample Entropy Analysis for Long-Term Structural Health Monitoring of Residential Buildings |
| title_sort | composite multiscale cross sample entropy analysis for long term structural health monitoring of residential buildings |
| topic | structural health monitoring multi-scale composite cross-sample entropy long-term evaluation |
| url | https://www.mdpi.com/1099-4300/23/1/60 |
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