Observation on environmental variability of modal properties of a cable-stayed bridge from one-year monitoring data

J. M. Ko, J. Y. Wang, Yiqing Ni, K. K. Chak

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

20 Citations (Scopus)

Abstract

All right reserved. This paper presents a correlation analysis of modal frequencies and temperatures in the cable-stayed Ting Kau Bridge by use of measurement data. 45 accelerometers (a total of 67 channels) and 83 temperature sensors have been installed on the bridge for long-term monitoring. Based on one-year measurement data from selected sensors, variations of average temperatures measured at the bridge steel girder, deck concrete, asphalt and air are observed at one-hour intervals and statistically analyzed. Natural frequencies of the first eleven modes are also identified at one-hour intervals, and their variation ranges, mean values and standard deviations are determined from 770-hour sample data covering one-year cycle of environmental and operational conditions. Then the identified modal frequencies and the temperatures measured at the steel girder and deck concrete are used for correlation analysis. An inversely proportional trend in modal frequencies with temperature is found in this bridge.
Original languageEnglish
Title of host publicationStructural Health Monitoring 2003
Subtitle of host publicationFrom Diagnostics and Prognostics to Structural Health Management - Proceedings of the 4th International Workshop on Structural Health Monitoring, IWSHM 2003
PublisherDEStech Publications
Pages467-474
Number of pages8
ISBN (Electronic)1932078207, 9781932078206
Publication statusPublished - 1 Jan 2003
Event4th International Workshop on Structural Health Monitoring: From Diagnostics and Prognostics to Structural Health Management, IWSHM 2003 - Stanford University, Stanford, United States
Duration: 15 Sep 200317 Sep 2003

Conference

Conference4th International Workshop on Structural Health Monitoring: From Diagnostics and Prognostics to Structural Health Management, IWSHM 2003
Country/TerritoryUnited States
CityStanford
Period15/09/0317/09/03

ASJC Scopus subject areas

  • Computer Science Applications
  • Health Information Management

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