Inter-Story Drift Ratio Detection of High-Rise Buildings Based on Ambient Noise Recordings
The inter-story drift ratio (IDR) is a crucial parameter in structural health monitoring to judge the safety, stability, and serviceability of buildings. Real-time, continuous, and widely applicable detection on IDRs is essential. However, the current methods present some challenges in conducting su...
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| Format: | Article |
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MDPI AG
2023-05-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/13/11/6724 |
| _version_ | 1827739673322061824 |
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| author | Zhen Peng Zhen Guo Yifan Shen Xu Wang |
| author_facet | Zhen Peng Zhen Guo Yifan Shen Xu Wang |
| author_sort | Zhen Peng |
| collection | DOAJ |
| description | The inter-story drift ratio (IDR) is a crucial parameter in structural health monitoring to judge the safety, stability, and serviceability of buildings. Real-time, continuous, and widely applicable detection on IDRs is essential. However, the current methods present some challenges in conducting such detection, including adverse effects from weather, the requirement for large amounts of space, and fragile instruments. This study proposes an alternative method to overcome these defects to measure IDRs and evaluate the structural conditions using ambient noise recordings. Ambient noise is a random and continuous wave signal with various sources and is modified by its propagating medium. Taking the Zhonghe Building on the campus of Tongji University, Shanghai, China, as an example, 24 three-component seismometers were deployed to capture and record the ambient noise continuously from 20 November 2021 to 9 December 2021. Using analysis of the polarization parameters of ambient noise during the building’s most dangerous time and ordinary time, a deflection curve, IDRs, and harmful IDRs of the Zhonghe Building during the most dangerous time were calculated. The computed maximum drift was 0.06 m, the maximum IDR was <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>1.140</mn><mo>×</mo><msup><mrow><mn>10</mn></mrow><mrow><mo>−</mo><mn>3</mn></mrow></msup></mrow></semantics></math></inline-formula>, and the maximum harmful IDR was <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>−</mo><mn>2.573</mn><mo>×</mo><msup><mrow><mn>10</mn></mrow><mrow><mo>−</mo><mn>4</mn></mrow></msup></mrow></semantics></math></inline-formula>. These results were compared with the relevant specifications in China, and it was found that the structure was in good condition. The study proposes an alternative method to measure IDRs with high applicability and continuity in real time and underscores the need for further research to achieve a localized and real-time structural health monitoring system. |
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| language | English |
| last_indexed | 2024-03-11T03:11:28Z |
| publishDate | 2023-05-01 |
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| spelling | doaj.art-6448eab3479c460db4470e30283197982023-11-18T07:35:54ZengMDPI AGApplied Sciences2076-34172023-05-011311672410.3390/app13116724Inter-Story Drift Ratio Detection of High-Rise Buildings Based on Ambient Noise RecordingsZhen Peng0Zhen Guo1Yifan Shen2Xu Wang3College of Civil Engineering, Tongji University, Shanghai 200092, ChinaCollege of Civil Engineering, Tongji University, Shanghai 200092, ChinaCollege of Civil Engineering, Tongji University, Shanghai 200092, ChinaCollege of Civil Engineering, Tongji University, Shanghai 200092, ChinaThe inter-story drift ratio (IDR) is a crucial parameter in structural health monitoring to judge the safety, stability, and serviceability of buildings. Real-time, continuous, and widely applicable detection on IDRs is essential. However, the current methods present some challenges in conducting such detection, including adverse effects from weather, the requirement for large amounts of space, and fragile instruments. This study proposes an alternative method to overcome these defects to measure IDRs and evaluate the structural conditions using ambient noise recordings. Ambient noise is a random and continuous wave signal with various sources and is modified by its propagating medium. Taking the Zhonghe Building on the campus of Tongji University, Shanghai, China, as an example, 24 three-component seismometers were deployed to capture and record the ambient noise continuously from 20 November 2021 to 9 December 2021. Using analysis of the polarization parameters of ambient noise during the building’s most dangerous time and ordinary time, a deflection curve, IDRs, and harmful IDRs of the Zhonghe Building during the most dangerous time were calculated. The computed maximum drift was 0.06 m, the maximum IDR was <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>1.140</mn><mo>×</mo><msup><mrow><mn>10</mn></mrow><mrow><mo>−</mo><mn>3</mn></mrow></msup></mrow></semantics></math></inline-formula>, and the maximum harmful IDR was <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>−</mo><mn>2.573</mn><mo>×</mo><msup><mrow><mn>10</mn></mrow><mrow><mo>−</mo><mn>4</mn></mrow></msup></mrow></semantics></math></inline-formula>. These results were compared with the relevant specifications in China, and it was found that the structure was in good condition. The study proposes an alternative method to measure IDRs with high applicability and continuity in real time and underscores the need for further research to achieve a localized and real-time structural health monitoring system.https://www.mdpi.com/2076-3417/13/11/6724ambient noisepolarization analysisinter-story drift ratiostructural health monitoring |
| spellingShingle | Zhen Peng Zhen Guo Yifan Shen Xu Wang Inter-Story Drift Ratio Detection of High-Rise Buildings Based on Ambient Noise Recordings Applied Sciences ambient noise polarization analysis inter-story drift ratio structural health monitoring |
| title | Inter-Story Drift Ratio Detection of High-Rise Buildings Based on Ambient Noise Recordings |
| title_full | Inter-Story Drift Ratio Detection of High-Rise Buildings Based on Ambient Noise Recordings |
| title_fullStr | Inter-Story Drift Ratio Detection of High-Rise Buildings Based on Ambient Noise Recordings |
| title_full_unstemmed | Inter-Story Drift Ratio Detection of High-Rise Buildings Based on Ambient Noise Recordings |
| title_short | Inter-Story Drift Ratio Detection of High-Rise Buildings Based on Ambient Noise Recordings |
| title_sort | inter story drift ratio detection of high rise buildings based on ambient noise recordings |
| topic | ambient noise polarization analysis inter-story drift ratio structural health monitoring |
| url | https://www.mdpi.com/2076-3417/13/11/6724 |
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