Experimental ambient vibration-based structural health monitoring in top-tensioned risers

D. Dunbar*, B. Bayik, P. Omenzetter, D. Van Der A

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

4 Citations (Scopus)

Abstract

Risers are crucial components in offshore production systems, and failure of a riser can potentially cause catastrophic damage to the environment and significant loss of production. The early identification of damage in a riser is essential to prevent failure from occurring, and vibration-based structural health monitoring (SHM) methods may be a viable means of achieving this. This study seeks to determine if there is merit to the application of vibration-based SHM methods to identify damage in top-tensioned risers under wave loading. To that end, two SHM methods are proposed and applied to experimental data obtained from a riser model placed in a wave flume with damage simulated as pre-tension loss. The proposed methods utilize the shift of the first natural frequency of the riser for damage identification. In the first method, the natural frequency is obtained from a frequency response function relating the water surface elevation and acceleration response of the riser model. In the second method, an ambient response analysis method is applied. Both methods are able to identify the natural frequency shifts and there is potential for detection and severity assessment of damage.

Original languageEnglish
Title of host publicationSmart Materials and Nondestructive Evaluation for Energy Systems IV
PublisherSPIE
Volume10601
ISBN (Electronic)9781510616981
DOIs
Publication statusPublished - 27 Mar 2018
EventSmart Materials and Nondestructive Evaluation for Energy Systems IV 2018 - Denver, United States
Duration: 5 Mar 20186 Mar 2018

Conference

ConferenceSmart Materials and Nondestructive Evaluation for Energy Systems IV 2018
Country/TerritoryUnited States
CityDenver
Period5/03/186/03/18

Keywords

  • am- bient response analysis
  • ambient excitation
  • frequency response function
  • Structural health monitoring
  • top-tensioned riser
  • vibration-based damage detection
  • wave excitation

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