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Long-Term Damping Characteristics of a Cable-Stayed Bridge

 Long-Term Damping Characteristics of a Cable-Stayed Bridge
Autor(en): , , ORCID
Beitrag für IABSE Congress: Bridges and Structures: Connection, Integration and Harmonisation, Nanjing, People's Republic of China, 21-23 September 2022, veröffentlicht in , S. 1273-1279
DOI: 10.2749/nanjing.2022.1273
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Damping ratio is a crucial factor in assessing the vibrational serviceability of flexible large-scale structures such as cable-supported bridges. While the natural frequencies of structures have be...
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Bibliografische Angaben

Autor(en): (Institute of Construction and Environmental Engineering, Seoul National University, Seoul, Republic of Korea)
(University of Seoul, Seoul, Republic of Korea)
ORCID (Seoul National University, Seoul, Republic of Korea)
Medium: Tagungsbeitrag
Sprache(n): Englisch
Tagung: IABSE Congress: Bridges and Structures: Connection, Integration and Harmonisation, Nanjing, People's Republic of China, 21-23 September 2022
Veröffentlicht in:
Seite(n): 1273-1279 Anzahl der Seiten (im PDF): 7
Seite(n): 1273-1279
Anzahl der Seiten (im PDF): 7
DOI: 10.2749/nanjing.2022.1273
Abstrakt:

Damping ratio is a crucial factor in assessing the vibrational serviceability of flexible large-scale structures such as cable-supported bridges. While the natural frequencies of structures have been estimated from operational modal analysis (OMA) with relatively minimal scattering, damping ratios have shown a high degree of scattering due to analytical uncertainty and in environmental and operational variations (EOV). To examine the damping ratio in context of EOVs, an automated damping estimation framework is applied with minimal user intervention to 2,5 years of long-term data acquired from a sparse continuous monitoring system. Daily and long-term fluctuations of damping ratios are examined. Environmental and operational factors such as temperature, wind environment and level of excitation are examined in context with damping ratios. The probability distribution of the damping ratio is also suggested based on statistical methods.

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