FOS-Based Monitoring of Underwater Port Structures

Abstract

In order to ensure the safe operation of critical infrastructure facilities like docks, the structural condition of quay facilities is monitored and documented through regular inspections and monitoring measurements. While geodetic monitoring systems for above-water structures are standard solutions, only a few sensor types are available for monitoring underwater structures. For that purpose, a measurement system is investigated which includes underwater inclinometers and fiber-optic Bragg grating strain sensors. Combined as a geodetic sensor network, they are mounted on one quay wall in the Port of Hamburg. The sensors acquire and record data as time series in order to show subsequently the deformation behavior of the wall. In addition, environmental parameters such as water level and temperature are recorded. Based on the measured data, the characteristics of the time series are investigated by methods of time series analysis (e.g. correlation analysis, Fast Fourier Transformation) to describe the interaction between potential influencing forces and geometric values. The suitability of the used sensors and analysis methods is evaluated and the deformations are modelled.
Original languageEnglish
Title of host publicationProtecting our world, conquering new frontiers
Subtitle of host publicationFIG Working Week 2023 : 28 May-1 June, 2023, Orlando, Florida, USA
Number of pages14
ISBN (Electronic)978-87-93914-07-0
Publication statusPublished - 2023
EventFIG Working Week 2023: Protecting Our World, Conquering New Frontiers - Orlando, Florida, United States
Duration: 28 May 20231 Jun 2023

Publication series

NameProceedings (FIG International Congress)
PublisherInternational Federation of Surveyors (FIG)
ISSN (Electronic)2308-3441

Conference

ConferenceFIG Working Week 2023
Country/TerritoryUnited States
CityOrlando, Florida
Period28/05/231/06/23

Keywords

  • Deformation measurement
  • structural health monitoring
  • geo sensor network
  • underwater structure
  • time series analysis

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