Displacement estimation from measured acceleration for fixed offshore structures

Liu, Fushun; Gao, Shujian; Chang, Shuang

doi:10.1016/j.apor.2021.102741

Cited by 31 publications

(8 citation statements)

References 33 publications

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“…The change of acceleration amplitudes at different levels under different wind speeds is basically consistent with the trend illustrated in Fig. 23a and follows the principle: when the wind speed is in the range of [0-3] m/s, which represents the speed lower than the cut-in wind speed, the vibration intensity at the bottom (Level 5) of the structure is largest; When the wind speed is in the range of [3][4][5][6][7][8][9] m/s, the wind speed is greater than the cut-in wind speed, but lower than the rated wind speed. The maximal vibration intensity in the middle (Level 3) of the structure can be observed; When the wind speed is greater than the rated wind speed [10][11] m/s, the vibration intensity at the top of the tower has the largest value in the selected five positions.…”

Section: Intensity Distribution Of Vibration Along the Towersupporting

confidence: 82%

“…Also, the similar conclusion can be drawn from the date arranged in the SS direction. In the range of [3][4][5][6][7][8][9] m/s, the acceleration of each layer in both FA and SS directions increases with the increase of the wind speed. The maximum vibration acceleration amplitude in the middle of the tower has been observed in both directions.…”

Section: Intensity Distribution Of Vibration Along the Towermentioning

confidence: 97%

“…However, the application of a systematic monitoring system for OWTs is always a particularly challenging task with the difficulties of installation, data sharing and communication, long-term operational reliability and maintenance. Most of the OWT structure monitoring systems work on single-source data that only includes the vibrational acceleration, inclination, displacement or strain [1][2][3][4]. Furthermore, limited by the field infrastructures such as power supply or network coverage, some of the field tests do not have the capability of the long-term and continuous monitoring and recording the complete operational cycle.…”

Section: Introductionmentioning

confidence: 99%

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Field data observations for monitoring the impact of typhoon “In-fa” on dynamic performances of mono-pile offshore wind turbines: A novel systematic study

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Li³

et al. 2023

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Section: Intensity Distribution Of Vibration Along the Towersupporting

confidence: 82%

Section: Intensity Distribution Of Vibration Along the Towermentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

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Field data observations for monitoring the impact of typhoon “In-fa” on dynamic performances of mono-pile offshore wind turbines: A novel systematic study

Liu

Li³

et al. 2023

Marine Structures

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“…With the development of the acceleration sensor, numerous achievements in the measurement of displacement by the acceleration sensor have appeared in recent years. Liu et al [9] utilized the measured acceleration data to determine the displacement of offshore structures by a new nonintegration displacement reconstruction method. Zhu et al [10] reconstructed displacements from measured accelerations based on a low-frequency attenuation algorithm.…”

Section: Introductionmentioning

confidence: 99%

Research on the measurement method of artillery recoil displacement based on acceleration integration

Dong

Luo

Yan

2023

J. Phys.: Conf. Ser.

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The measurement of artillery recoil displacement is investigated in this paper. Unlike most existing works in which optical measurements are susceptible to fire, smoke, and obstructions in the light propagation path, a measurement method based on acceleration integration is proposed in this paper. First, the recoil acceleration data is obtained by the acceleration sensor and data acquisition module, and then transmitted to the host computer for subsequent data processing. Then, the pre-processing methods including low-pass filter, effective data segment extraction, and cubic spline interpolation are utilized to handle the original recoil acceleration data. Afterward, the adaptive integration algorithm based on the Simpson method is proposed to integrate the pre-processed acceleration to obtain the recoil displacement, which improves the integration accuracy and reduces the amount of computation compared with other common integration methods. Finally, the performance of the proposed method used to measure the recoil displacement is verified through a simulation example and practical experiments.

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“…By constructing a strict system to modify the transfer function of the integration system, the drift of the acceleration data after secondary integration is effectively suppressed. Liu [24] suggested the non-integral displacement reconstruction method using complex exponential series to establish the relationship between measured acceleration and target displacement. Nevertheless, this method has subjective knowledge about establishing complex exponential series of acceleration.…”

Section: Introductionmentioning

confidence: 99%

Research on Seismic Acceleration Waveform Reproduction Based on Time-Frequency Hybrid Integration Algorithm

et al. 2022

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For the quadratic integration of seismic acceleration signal with noise and unknown initial velocity and displacement, the obtained displacement signal has serious trend error, which leads to the problem that the electrodynamic seismic simulation shaker under displacement control mode cannot accurately reproduce the seismic wave. This paper proposes the time-frequency hybrid integration algorithm based on time domain and frequency domain integration characteristics. The algorithm mainly includes two steps. The first step is to use the improved low-frequency attenuation algorithm to integrate the seismic acceleration for the first time in the frequency domain to obtain the corresponding velocity signal. The second step is to integrate the velocity signal directly in the time domain and combine it with the removal of the constant and linear terms algorithm to obtain the corresponding displacement signal. The accuracy and effectiveness of the algorithm are verified by numerical analysis and shaking table test. The results show that compared with the traditional hybrid integral algorithm, the performance improvement rates of displacement peak error and absolute error of the proposed time-frequency hybrid integral algorithm are 31.75% and 26.01%, respectively, and the accuracy of acceleration waveform reproduction is improved by 27.29%. Furthermore, when using this algorithm for the shaking table test of the seismic acceleration signal, the maximum peak error rate is only 4.92%. Therefore, this algorithm can effectively suppress the baseline drift and error accumulation caused by low-frequency noise and unknown initial state to realize the accurate reproduction of the acceleration waveform of the seismic simulation shaking table.INDEX TERMS Time-frequency hybrid integration algorithm; seismic acceleration signal; removal of the constant and linear terms algorithm; improved low-frequency attenuation algorithm; electrodynamic seismic simulation shaker

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Displacement estimation from measured acceleration for fixed offshore structures

Cited by 31 publications

References 33 publications

Field data observations for monitoring the impact of typhoon “In-fa” on dynamic performances of mono-pile offshore wind turbines: A novel systematic study

Field data observations for monitoring the impact of typhoon “In-fa” on dynamic performances of mono-pile offshore wind turbines: A novel systematic study

Research on the measurement method of artillery recoil displacement based on acceleration integration

Research on Seismic Acceleration Waveform Reproduction Based on Time-Frequency Hybrid Integration Algorithm

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