Long-Term Damping Characteristics of a Cable-Stayed Bridge

Doyun Hwang, Sunjoong Kim, Ho Kyung Kim

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationIABSE Congress Nanjing 2022 - Bridges and Structures
Subtitle of host publicationConnection, Integration and Harmonisation, Report
PublisherInternational Association for Bridge and Structural Engineering (IABSE)
Pages1273-1279
Number of pages7
ISBN (Electronic)9783857481840
StatePublished - 2022
EventIABSE Congress Nanjing 2022 - Bridges and Structures: Connection, Integration and Harmonisation - Nanjing, China
Duration: 21 Sep 202223 Sep 2022

Publication series

NameIABSE Congress Nanjing 2022 - Bridges and Structures: Connection, Integration and Harmonisation, Report

Conference

ConferenceIABSE Congress Nanjing 2022 - Bridges and Structures: Connection, Integration and Harmonisation
Country/TerritoryChina
CityNanjing
Period21/09/2223/09/22

Keywords

  • cable-supported bridges
  • damping
  • environmental
  • long-term monitoring
  • operational modal analysis
  • operational variations
  • system identification

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