Numerical study on mode curvature for damage detection of a drilling riser using transfer matrix technique

Zhou, Xingkun; Wang, Dongshi; Duan, Menglan; Gu, Jijun; Liu, Yang

doi:10.1016/j.apor.2016.12.008

Cited by 15 publications

(4 citation statements)

References 23 publications

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“…To address this issue, we applied the modal anomaly recognition algorithm proposed by [20] to the Katz fractal dimension (KFD-MAA). The principle of this algorithm is to map modal parameters to another vector space, preserving complete structural attributes while eliminating the influence of structural flexibility.…”

Section: Identification Of Multiple Cracksmentioning

confidence: 99%

“…Due to the low cost of numerical simulation and easy extraction and analysis of large quantities of data, the vibration-based damage detection method is increasingly applied to marine risers [17][18][19]. For instance, Zhou et al [20] used transfer matrix techniques to extract patterns and detect damage in marine risers, then identified cracks incurred during riser deployment and retrieval [21]. In other work, Bayik et al [22] introduced a laboratory-scale model for studying vibration-based damage detection in a top-tensioned riser.…”

Section: Introductionmentioning

confidence: 99%

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Subsea jumper damage detection based on fractal analysis and modal characteristics

2024

Brodogradnja

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Subsea jumpers play a critical role in subsea oil and gas production. Structural damage such as cracks is inevitable in subsea jumpers due to the harsh marine environment (internal fluid flow corrosion, high temperature and pressure, etc.). However, the current research on damage detection and evaluation of subsea jumpers is limited, particularly in cases of slight damage. This study thus proposes a method to identify cracks in subsea jumpers based on the modal characteristics and fractal theory. The accuracy of the method is verified by comparing the finite element simulation method via APDL and the analytical method via MATLAB. In addition, the sensitivity of the method to noise is investigated. The results indicate that the method accurately identifies cracks (single and multiple) with a minimum depth of 0.2 mm in various locations on subsea jumpers. This study may hold significant reference value for improving the safety and reliability of subsea jumpers.

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Section: Identification Of Multiple Cracksmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Subsea jumper damage detection based on fractal analysis and modal characteristics

2024

Brodogradnja

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“…In this context, Prendergast et al [56] presented an analysis of the variation in eigenfrequencies of turbines under progressive scour. The work reported by Zhou et al [57] demonstrated an SHM approach for marine platforms that accounted for the variability of the ocean environment, vibration, corrosion, marine currents, and the effects of collisions modeled using a transfer matrix. Their approach enabled the calculation of changes in the form of the structure and the differentiation of possible failures.…”

Section: Operational and Environmental Conditionsmentioning

confidence: 99%

Damage Identification in Structural Health Monitoring: A Brief Review from its Implementation to the Use of Data-Driven Applications

Burgos

Vargas

Pedraza

et al. 2020

Sensors

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The damage identification process provides relevant information about the current state of a structure under inspection, and it can be approached from two different points of view. The first approach uses data-driven algorithms, which are usually associated with the collection of data using sensors. Data are subsequently processed and analyzed. The second approach uses models to analyze information about the structure. In the latter case, the overall performance of the approach is associated with the accuracy of the model and the information that is used to define it. Although both approaches are widely used, data-driven algorithms are preferred in most cases because they afford the ability to analyze data acquired from sensors and to provide a real-time solution for decision making; however, these approaches involve high-performance processors due to the high computational cost. As a contribution to the researchers working with data-driven algorithms and applications, this work presents a brief review of data-driven algorithms for damage identification in structural health-monitoring applications. This review covers damage detection, localization, classification, extension, and prognosis, as well as the development of smart structures. The literature is systematically reviewed according to the natural steps of a structural health-monitoring system. This review also includes information on the types of sensors used as well as on the development of data-driven algorithms for damage identification.

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“…Lei et al (2015) studied the variations of natural frequencies and modal displacements of a free-hanging riser under two kinds of conditions, i.e., the hanging total mass and no hanging mass at all at the bottom end. Zhou et al (2017; extracted the natural frequencies, modal displacements, and displacement-based characteristics of drilling risers underworking and freehanging conditions. Zhang et al (2022) analyzed the lockin frequency, single-frequency mode, and multi-frequency modes of a long-hanged and weighted riser in internal fluid flow and external currents.…”

Section: Introductionmentioning

confidence: 99%

Modal state vectors of a free-hanging drilling riser during deployment and retrieval

Zhou

Chen

et al. 2022

J Petrol Explor Prod Technol

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To prevent marine risers' resonance and eliminate potential threats, sufficient inherent dynamic characteristics such as natural frequency, modal displacement, slope, bending moment, and shear are necessary to be calculated and analyzed. However, most studies calculate the natural frequencies and modal displacements directly rather than the modal slopes and forces. The additional calculations of modal slopes and forces likely result in issue complications, time-consuming, or even errors especially when the boundaries at both ends are solved by a finite difference method. To solve the above problems, a state-vector approach is developed herein based on the precise integration method. Two traditional methods, i.e., differential transformation method and finite element method, are utilized to verify the validation of the approach. The modal state vectors of a marine drilling riser, i.e., not only modal displacements but also modal slopes, bending moments, and shears, are studied in detail under four classic cases according to the hard and soft hang-off modes and the deployment and retrieval processes. Besides, the natural frequencies versus the riser suspension lengths are investigated during the deployment and retrieval. The critical resonance suspension lengths of the riser are discussed via a double-peaked sea irregular wave spectrum. Based on the analyses presented in this study and their generic findings, powerful tools can be designed to prevent riser resonance and associated threats in operation.

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Numerical study on mode curvature for damage detection of a drilling riser using transfer matrix technique

Cited by 15 publications

References 23 publications

Subsea jumper damage detection based on fractal analysis and modal characteristics

Subsea jumper damage detection based on fractal analysis and modal characteristics

Damage Identification in Structural Health Monitoring: A Brief Review from its Implementation to the Use of Data-Driven Applications

Modal state vectors of a free-hanging drilling riser during deployment and retrieval

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