Comparative Study of Vortex-Induced Vibration of FRP Composite Risers with Large Length to Diameter Ratio Under Different Environmental Situations

Wang, Chunguang; Ge, Shiquan; Sun, Mingyu; Jia, Zhen; Han, Baomin

doi:10.3390/app9030517

Cited by 11 publications

(10 citation statements)

References 35 publications

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“…This analysis procedure and models selected have been proved by previous studies [34,35] and the differences here were the load conditions which were current flows with different velocities, different top tension forces and buoyance, and the different geometries of FRP composite risers.…”

Section: Oa Samplingmentioning

confidence: 87%

“…The study cases in this paper were determined by OA sampling (bose) [26] based on the riser types, current velocities and water depths (Table 4). The modules of geometry, ACP (Pre), transient structural, fluid flow, ACP (Post) and system coupling [34,35] were then employed to achieve the VIV simulation considering the fluid structure interface (FSI) for the composite risers 1 and 2. For the steel riser 3, ACP (Pre) and ACP (Post) were not needed.…”

Section: Oa Samplingmentioning

confidence: 99%

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Effects of Different Design Parameters on the Vortex Induced Vibration of FRP Composite Risers Using Grey Relational Analysis

Wang

Jaworski

et al. 2019

JMSE

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Risers are indispensable components of offshore platform systems that connect the wellhead at the sea bottom and to the platform at the sea surface and are normally made of high grade steel. Nowadays, fiber reinforced polymer (FRP) composite has been recognized as an attractive alternative riser material. Similarly to steel risers, FRP composite risers are also vulnerable to vortex induced vibration (VIV), and the effects of the composite makeup of these risers on VIV are the subject of the present investigation. Three risers (the tailored design composite riser, the composite riser with orthogonal reinforcements and the steel riser), three current velocities (0.36 m/s, 1.22 m/s and 2.13 m/s) and three water depths (12.5 m, 25 m and 37.5 m) are considered. In total, 9 study cases using orthogonal array (OA) sampling are investigated to study the risers’ VIV characteristics. The computational fluid dynamics (CFD) simulations with coupled fluid–structure interaction (FSI) are used to obtain the risers’ natural frequencies, global displacements, global stresses and the stress distributions in each composite lamina. The effect of 5 parameters (Etension, Ebending, L/Douter, tension force and current velocity) on the VIV amplitude in a cross flow direction of the risers is analyzed using Grey relational analysis (GRA) and the Grey relational grade of these parameters are: r 05 ( Velocity ) > r 03 ( L / D outer ) > r 04 ( Tension Force ) > r 01 ( E t e n s i o n ) > r 02 ( E b e n d i n g ) .

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Section: Oa Samplingmentioning

confidence: 87%

Section: Oa Samplingmentioning

confidence: 99%

Effects of Different Design Parameters on the Vortex Induced Vibration of FRP Composite Risers Using Grey Relational Analysis

Wang

Jaworski

et al. 2019

JMSE

Self Cite

View full text Add to dashboard Cite

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“…[32][33][34][35][36]. Currently, the industry has accepted, to some degree, the implementation of different composite materials in the design and manufacture of marine risers called composite risers [37][38][39][40]. These developments exist in recent academic reports and current industrial products from Airborne Oil & Gas, Magma Global, Technip, etc.…”

Section: Introductionmentioning

confidence: 99%

Finite Element Modelling on the Mechanical Behaviour of Marine Bonded Composite Hose (MBCH) under Burst and Collapse

Amaechi

Chesterton

Butler

et al. 2022

JMSE

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Currently, the properties of composites have been harnessed on pipelines in the marine offshore industry. In this study, marine bonded composite hose (MBCH) is presented. It is aimed at understanding the stress/strain distribution on marine bonded hoses using local design pressure under burst and collapse cases. This study also investigates composite material modelling, hose modelling, liner wrinkling, helical spring deformation, and two MBCH models—with and without ovalisation. The ovalized model is considered the simplified model in this research. A mesh study was carried out on meshing the hose layers. In this study, local design pressure was considered and not operational pressure. This finite element model was adopted to predict the deformation and mechanical response behaviour of MBCH. From this study, composites could be considered to improve conventional marine hoses. The study findings include identification of buckled sections on the hose and stressed zones on the helix reinforcement. Highly reinforced hose ends are recommended in ends of the MBCH as they had maximum stress and strain values.

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“…1,2 In the last several decades, the GFRP has been widely used in many industrial fields, such as aerospace, petroleum, transportation, and construction, due to the low production cost and good material properties. [3][4][5] For these applications, the progressive damage during manufacturing and service has led to a significant failure of GFRP structures and caused serious security accidents. [6][7][8] Acoustic emission (AE) technology is a passive, realtime, and dynamic detection method.…”

Section: Introductionmentioning

confidence: 99%

Intelligent recognition of acoustic emission signals from damage of glass fiber-reinforced plastics

Tian-tian

Shi

et al. 2020

Advanced Composites Letters

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Glass fiber-reinforced plastics (GFRP) is widely used in many industrial fields. When acoustic emission (AE) technology is applied for dynamic monitoring, the interfering signals often affect the damage evaluation results, which significantly influences industrial production safety. In this work, an effective intelligent recognition method for AE signals from the GFRP damage is proposed. Firstly, the wavelet packet analysis method is used to study the characteristic difference in frequency domain between the interfering and AE signals, which can be characterized by feature vector. Then, the model of back-propagation neural network (BPNN) is constructed. The number of nodes in the input layer is determined according to the feature vector, and the feature vectors from different types of signals are input into the BPNN for training. Finally, the wavelet packet feature vectors of the signals collected from the experiment are input into the trained BPNN for intelligent recognition. The accuracy rate of the proposed method reaches to 97.5%, which implies that the proposed method can be used for dynamic and accurate monitoring of GFRP structures.

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Comparative Study of Vortex-Induced Vibration of FRP Composite Risers with Large Length to Diameter Ratio Under Different Environmental Situations

Cited by 11 publications

References 35 publications

Effects of Different Design Parameters on the Vortex Induced Vibration of FRP Composite Risers Using Grey Relational Analysis

Effects of Different Design Parameters on the Vortex Induced Vibration of FRP Composite Risers Using Grey Relational Analysis

Finite Element Modelling on the Mechanical Behaviour of Marine Bonded Composite Hose (MBCH) under Burst and Collapse

Intelligent recognition of acoustic emission signals from damage of glass fiber-reinforced plastics

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