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Dynamic deformation monitoring of an offshore platform structure with accelerometers

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journal contribution
posted on 2021-12-20, 09:56 authored by Wen Li, Craig HancockCraig Hancock, Yusong Yang, Jian Wang, Xiaolin Meng
Abstract In this paper, structural characteristics are evaluated by displacement and frequency indicators that indicate the real-time health status of offshore platforms. This paper uses an accelerometer to collect the dynamic response of the platform in the event of a ship collision. The main contributions of this research are reflected in three aspects. Firstly, based on Empirical Mode Decomposition (EMD) multiscale decomposition, the noise range is determined according to the scale and the average value of the standardized accumulation mode, and the original acceleration sequence is denoised. Secondly, two impact tests were carried out to understand the platform's structural characteristics under an external load. Combined with the FFT algorithm and Hilbert Huang transform, the three-dimensional information of the time, frequency, and energy is analyzed. Finally, a method of high-frequency dynamic displacement reconstruction is proposed. According to the extracted vibration frequency information, the parameters for the filter are reasonably set, and the denoised acceleration time sequence is processed with bandpass filtering and quadratic integration to obtain the high-frequency dynamic displacement of the structure. The results show that the high-frequency dynamic displacement of the accelerometer reconstruction is 1.5 mm. Two collision event frequencies, 1.477 Hz and 1.483 Hz, were successfully extracted from the north direction.

Funding

National natural science foundation of china, 41874029

Scientific Research Project of Beijing Educational Committee, KM202010016009

Beijing Key Laboratory of Urban Spatial Information Engineering, 20210212

History

School

  • Architecture, Building and Civil Engineering

Published in

Journal of Civil Structural Health Monitoring

Volume

12

Issue

2

Pages

275 - 287

Publisher

Springer Science and Business Media LLC

Version

  • VoR (Version of Record)

Rights holder

© The authors

Publisher statement

This is an Open Access Article. It is published by Springer under the Creative Commons Attribution 4.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/

Acceptance date

2021-11-28

Publication date

2021-12-16

Copyright date

2021

ISSN

2190-5452

eISSN

2190-5479

Language

  • en

Depositor

Dr Craig Hancock. Deposit date: 19 December 2021

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