Laboratory-scale validation of modal expansion for virtual sensing of offshore tubular structures

Alessandro Annoni, Marie Gaubert, Shen Li, David Dai, Mingxin Li, Jun Zang, Feargal Brennan

Research output: Contribution to conferencePaperpeer-review

20 Downloads (Pure)

Abstract

Digital twin is an emerging approach for structural integrity management and has gained significant attention from both academia and industry of offshore engineering in recent years. While it is a multi-faceted concept, virtual sensing is an indispensable functionality of digital twin. A prevalent technique for implementing virtual sensing is the modal expansion approach, where the responses of non-instrumented areas (i.e., without physical sensors) are predicted by inverse estimation of the structural mode shape amplitude through physical sensing in instrumented areas. However, this method lacks extensive validation, particularly through experimental data obtained in controlled environments. To address this gap, this paper uses wave tank test data from a tubular structure model to validate the modal expansion technique for stress/strain sensing in non-instrumented areas and investigate the associated uncertainties.
Original languageEnglish
Number of pages4
Publication statusPublished - 13 Dec 2024
Event13th International Conference on Advances in Steel-Concrete Composite Structures - Hong Kong
Duration: 11 Dec 202413 Dec 2024

Conference

Conference13th International Conference on Advances in Steel-Concrete Composite Structures
Abbreviated titleASCCS 2024
CityHong Kong
Period11/12/2413/12/24

Funding

This work is partially funded by Severe Storm Wave Loads on Offshore Wind Turbine Foundations, EP/V050079/1 and Co-design to deliver Scalable Tidal Stream Energy, EP/X03903X/1, UK Engineering and Physical Sciences Research Council.

Keywords

  • offshore structures
  • tubular structures
  • wave tank test
  • virtual sensing
  • digital twin

Fingerprint

Dive into the research topics of 'Laboratory-scale validation of modal expansion for virtual sensing of offshore tubular structures'. Together they form a unique fingerprint.

Cite this