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Article: Numerical study on hydrodynamic responses of a single-point moored vessel-shaped floating aquaculture platform in waves

Ma, Chao / Zhao, Yun-Peng / Bi, Chun-Wei

Aquacultural engineering. 2022 Feb., v. 96

2022

Abstract: A vessel-shaped floating aquaculture platform has numerous advantages over traditional high-density polyethylene gravity cages. Combined with a single-point mooring system, the unique structural form of the vessel shape can significantly reduce the ... ...

Abstract	A vessel-shaped floating aquaculture platform has numerous advantages over traditional high-density polyethylene gravity cages. Combined with a single-point mooring system, the unique structural form of the vessel shape can significantly reduce the environmental loads transmitted from the bow. This study used potential flow theory and dynamic composite cable theory to simulate the hydrodynamic responses of a single-point moored vessel-shaped floating aquaculture platform in waves. The motion response, mooring force response, and reaction force of the nets were simulated in regular waves and compared with experimental values. The numerical and experimental results agree well. After the validation, the response amplitude operators of the floating frames of the platform were calculated and analyzed in the frequency domain. Then, time-domain calculations were carried out to investigate the hydrodynamic characteristics of the platform. The results show that the heave and pitch responses of the front frame are significantly higher than those of the rear frames of the same platform. The increase in the number of floating frames decreases the motion responses and increases the mooring force response of the platform. The X and Z components of the hinge joint force between the floating front frames are significantly higher than those between the rear frames. Similarly, the reaction force of the nets of the floating front frame is higher than that of the rear frames under the same wave conditions.
Keywords	gravity ; hydrodynamics ; polyethylene
Language	English
Dates of publication	2022-02
Publishing place	Elsevier B.V.
Document type	Article
ZDB-ID	782663-1
ISSN	0144-8609
ISSN	0144-8609
DOI	10.1016/j.aquaeng.2021.102216
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Systematic optimization of the square arc angle aquaculture tank combining CFD methodology and multi-objective genetic algorithm

Liu, Hang-Fei / Ren, Xiaozhong / Xue, Boru / Bi, Chun-Wei / Zhao, Yun-Peng / Liu, Ying

Aquacultural Engineering. 2023 May, v. 101 p.102326-

2023

Abstract: The hydrodynamic performance inside the recirculating aquaculture tank is critical for the welfare of aquaculture. It is undoubtedly a preferable alternative to achieve a conducive flow environment inside the aquaculture tank through optimizing the ... ...

Abstract	The hydrodynamic performance inside the recirculating aquaculture tank is critical for the welfare of aquaculture. It is undoubtedly a preferable alternative to achieve a conducive flow environment inside the aquaculture tank through optimizing the geometry structure of the aquaculture tank. In this study, combining the computational fluid dynamics (CFD) approach and multi-objective genetic algorithm (MOGA), these two parameters, namely α (R/L) and β (C/L), are assessed and optimized based on the average flow velocity and flow velocity uniformity inside the square arc angle aquaculture tank. Physical experiments are set up to verify the accuracy of the numerical models and predicted results. The results indicate that the variation of both α and β affects the flow velocity and vortex distribution. However, the sensitivity of flow velocity uniformity and average flow velocity to α (74.49% and 91.14%) is much higher than that of β (−24.12% and −23.68%). It demonstrates that increasing α can significantly improve the average flow velocity and flow velocity uniformity inside the aquaculture tank compared to β. In addition, according to MOGA optimization results, taking the maximum flow velocity uniformity and average flow velocity as the optimization goals, the final optimization scheme is α = 0.396 and β = 0.074. Finally, combining CFD and MOGA methods can optimize the aquaculture tank structure accurately and efficiently in a comprehensive and systematic approach with relatively minimal computational cost.
Keywords	algorithms ; aquaculture ; geometry ; hydrodynamics ; Square arc angle aquaculture tank ; Flow velocity distribution ; Computational fluid dynamics (CFD) method ; Multi-objective genetic algorithm (MOGA) ; Sensitivity analysis
Language	English
Dates of publication	2023-05
Publishing place	Elsevier B.V.
Document type	Article ; Online
ZDB-ID	782663-1
ISSN	0144-8609
ISSN	0144-8609
DOI	10.1016/j.aquaeng.2023.102326
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Digital twin for rapid damage detection of a fixed net panel in the sea

Zhao, Yun-Peng / Lian, Likai / Bi, Chun-Wei / Xu, Zhijing

Computers and Electronics in Agriculture. 2022 Sept., v. 200 p.107247-

2022

Abstract: The fishing net is the most important component of aquaculture net cages. Once damaged, it can cause substantial economic losses and ecological problems to the aquaculture industry. To avoid these subsequent issues caused by the damage to the fishing net, ...

Abstract	The fishing net is the most important component of aquaculture net cages. Once damaged, it can cause substantial economic losses and ecological problems to the aquaculture industry. To avoid these subsequent issues caused by the damage to the fishing net, seeking a computerized, labor-saving approach and detecting damage in real time becomes the primary task of this paper. Inspired by recent development of the artificial neural networks and machine learning, this study proposes a fast and accurate approach for fishing net damage detection based on digital twin. Firstly, time-domain numerical simulations of the fishing net are conducted in a series of wave and current conditions to develop the artificial neural network-based digital twin. Then, the significant wave height, the spectral peak period, and tensions of vertical and horizontal ropes are used as input variables during the artificial neural network training; the intact and damaged states of the fishing net are considered outputs. Alongside this, the back-propagation learning algorithm is used for training to maximize damage detection performance. The results highlight that the digital twin model can effectively identify the fishing net damage using the sensor data, and the accuracy of the damage detection reaches above 93%. When the damage occurs at different net positions, the prediction accuracies of the artificial neural network model for training and testing sets are 93.97% and 93.00%, respectively. Regarding different wave-current directions, the prediction accuracies of the artificial neural network model are 99.87 % and 99.34 % for training and testing sets. Moreover, the developed digital twin can accurately detect the damage of the net even sea conditions and sensor data are not included in the training. The digital twin model proposed in the present study can potentially be used for damage detection in other aquaculture components and structures.
Keywords	agriculture ; algorithms ; aquaculture ; aquaculture industry ; electronics ; neural networks ; prediction ; Aquaculture net ; Artificial neural network ; Digital twin ; Damage detection
Language	English
Dates of publication	2022-09
Publishing place	Elsevier B.V.
Document type	Article ; Online
ZDB-ID	395514-x
ISSN	0168-1699
ISSN	0168-1699
DOI	10.1016/j.compag.2022.107247
Database	NAL-Catalogue (AGRICOLA)

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Article: An adaptive method of damage detection for fishing nets based on image processing technology

Zhao, Yun-Peng / Niu, Li-Juan / Du, Hai / Bi, Chun-Wei

Aquacultural engineering. 2020 Aug., v. 90

2020

Abstract: For offshore aquaculture cages, structural damage can cause serious economic property damage to the aquaculture industry, thus it is necessary to carry out regular inspections of the cage structure. At present, the main method of detecting netting damage ...

Abstract	For offshore aquaculture cages, structural damage can cause serious economic property damage to the aquaculture industry, thus it is necessary to carry out regular inspections of the cage structure. At present, the main method of detecting netting damage is that the staff sneak into the water for manual investigation. This method not only does not guarantee personal safety, but is also labor-intensive and inefficient. This paper proposes a new feature curve method for non-contact underwater netting damage detection, which can effectively recognize damaged netting and analyze the degree of damage for the underwater net and return to its damage position. The new method presented in this paper was designed taking into consideration of effect of seaweed growth: Firstly, an image block within the ROI (region of interest) region was processed by bilateral filter. Secondly, the binary image was obtained via the OSTU (the maximum inter-class variance method) method and connected domain detection was performed. Thirdly, the feature gradient histogram was calculated according to the area of the mesh hole and the local peaks of the curve (named as feature curve) was searched to determine the position of damage in the netting. The proposed method combined the image processing technology with aquaculture engineering seamlessly, and reduced the complexity of the detection system greatly, and significantly improved the efficiency of the netting detection. Finally, the MATLAB program was developed to realize the netting detection process and the proposed method had been verified by the actual underwater netting experiment. The experimental results showed that the netting damage detection method proposed in this paper can successfully detect crack of the netting despite image degradation in water.
Keywords	aquacultural engineering ; aquaculture industry ; area ; chemical structure ; degradation ; detection ; fish nets ; image analysis ; macroalgae ; netting ; paper ; processing technology ; variance ; water
Language	English
Dates of publication	2020-08
Publishing place	Elsevier B.V.
Document type	Article
Note	NAL-light
ZDB-ID	782663-1
ISSN	0144-8609
ISSN	0144-8609
DOI	10.1016/j.aquaeng.2020.102071
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Failure probability of offshore high-density polyethylene net cages under typhoon waves

Shi, Xian-Wu / Zhao, Yun-Peng / Bi, Chun-Wei / Liu, Qiang / Fan, Zhong-Qi / Zhou, Shui-Hua / Jia, Ning

Aquacultural Engineering. 2022 Aug., v. 98 p.102254-

2022

Abstract: With the growth of global population, the demand for seafood has been increasing. Aquaculture as a sustainable industry provides a new direction to satisfy the rising demand for seafood. However, typhoons, a common disaster in coastal areas, can cause ... ...

Abstract	With the growth of global population, the demand for seafood has been increasing. Aquaculture as a sustainable industry provides a new direction to satisfy the rising demand for seafood. However, typhoons, a common disaster in coastal areas, can cause massive waves that can threaten the safety of aquaculture facilities. Therefore, studying the facilities’ failure probability under typhoon waves with different return periods is crucial. The example of offshore high-density polyethylene net cages in the seas near Guishan Island, Zhuhai, China, was examined in this study. The wave conditions for different return periods for these seas were predicted using the SWAN+ADCIRC model and the local wave statistics for the last 30 years. Based on the prediction results, the hydrodynamic loads and stresses of the primary cage structure (floating collar, nets, and mooring lines) in typhoon waves at different return periods were calculated using the lumped-mass and finite element methods. Meanwhile, the failure probability of the cage components was analyzed based on the Monte Carlo method. According to the failure probability and cost of different components, the suitable size of the each of the cage components in the representative seas was studied. This study affords a reference for the design of the cage and improve the aquaculture insurance.
Keywords	Monte Carlo method ; aquaculture ; cages ; chemical structure ; finite element analysis ; hydrodynamics ; industry ; insurance ; models ; polyethylene ; prediction ; probability ; seafoods ; typhoons ; China ; Typhoon ; Net cage ; Failure probability ; Numerical simulation ; Monte Carlo simulation
Language	English
Dates of publication	2022-08
Publishing place	Elsevier B.V.
Document type	Article ; Online
ZDB-ID	782663-1
ISSN	0144-8609
ISSN	0144-8609
DOI	10.1016/j.aquaeng.2022.102254
Database	NAL-Catalogue (AGRICOLA)

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Article: A prediction on structural stress and deformation of fish cage in waves using machine-learning method

Zhao, Yun-Peng / Bi, Chun-Wei / Dong, Guo-Hai / Sun, Xiong-Xiong

Aquacultural engineering. 2019 May, v. 85

2019

Abstract: Generally, the hydrodynamics of a fish cage are investigated using numerical simulation, physical model experiments, and field measurements. However, these traditional research methods are time consuming and low in efficiency. In this study, an ... ...

Abstract	Generally, the hydrodynamics of a fish cage are investigated using numerical simulation, physical model experiments, and field measurements. However, these traditional research methods are time consuming and low in efficiency. In this study, an artificial neural network (ANN) model is built such that the hydrodynamic characteristics of a fish cage in waves can be predicted rapidly. The training data of the ANN model are generated by a well-developed numerical model from our previous studies. The parameters in the hidden layer of the ANN model are determined considering the prediction accuracy of the hydrodynamic results of the fish cage. The ANN model is validated against a well-developed numerical model with satisfactory accuracy. Using the proposed ANN model, the hydrodynamic results of the fish cage including the maximum tension in mooring lines, minimum effective-volume ratio, and maximum stress of the floating collar are predicted for various waves. Overall, the predicted results indicate a trend consistent with that of the previous studies. The present model can potentially forecast disasters for an oncoming typhoon, which is important for the hazard prevention of a fish farm.
Keywords	artificial intelligence ; deformation ; disasters ; fish cages ; fish farms ; hydrodynamics ; model validation ; neural networks ; prediction ; typhoons
Language	English
Dates of publication	2019-05
Size	p. 15-21.
Publishing place	Elsevier B.V.
Document type	Article
ZDB-ID	782663-1
ISSN	0144-8609
ISSN	0144-8609
DOI	10.1016/j.aquaeng.2019.01.003
Database	NAL-Catalogue (AGRICOLA)

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Article: Laboratory Experimental Investigation on the Hydrodynamic Responses of an Extra-Large Electrical Platform in Wave and Storm Conditions

Zhang, Dong-Liang / Bi, Chun-Wei / Dong, Guo-Hai / Wu, Guan-Ye / Zhao, Sheng-Xiao

Water. 2019 Sept. 29, v. 11, no. 10

2019

Abstract: The application of electrical platform for converter station in offshore wind farm is highly forward-looking and strategic. The offshore electrical platform is complicated in structure, bulky in volume, and expensive in cost. In addition, the built-in ... ...

Abstract	The application of electrical platform for converter station in offshore wind farm is highly forward-looking and strategic. The offshore electrical platform is complicated in structure, bulky in volume, and expensive in cost. In addition, the built-in electrical equipment is very sensitive to the acceleration response. Therefore, it is very important to study the hydrodynamic response of the electrical platform exposed in the open sea. Based on the elastic similarity, Froude similarity, as well as the flexural-stiffness similarity of the cross-section, the hydroelastic similarity was derived to guide the model test of a 10,000-ton offshore electrical platform in wind, wave, and current. The hydrodynamic responses including strain and acceleration at key positions of the structure were obtained for different incident angles of external environmental loads. The experimental results showed the increase of water depth can cause more than 10 times increase of strain and acceleration response of the platform. The attack angle of external environmental loads had no definite relationship with strain response of the structure. Therefore, the most dangerous attack angle cannot be determined. The strain of the structure under the combined action of wind, wave, and flow was significantly larger than that under wave load only.
Keywords	angle of incidence ; electrical equipment ; hydrodynamics ; models ; oceans ; storms ; water waves ; wind ; wind farms
Language	English
Dates of publication	2019-0929
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
ZDB-ID	2521238-2
ISSN	2073-4441
ISSN	2073-4441
DOI	10.3390/w11102042
Database	NAL-Catalogue (AGRICOLA)

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Article: Hydrodynamic responses of longline aquaculture facility with lantern nets in waves

Zhao, Yun-Peng / Bi, Chun-Wei / Chen, Qiu-Pan / Cui, Yong / Dong, Guo-Hai / Yang, Hui

Aquacultural engineering. 2019 Aug., v. 86

2019

Abstract: To prevent occurrences of structure failure, it is essential to study the mooring line tension and motions of the longline aquaculture facilities with lantern nets. This study describes a physical model experiment that attempts to determine an optimal ... ...

Abstract	To prevent occurrences of structure failure, it is essential to study the mooring line tension and motions of the longline aquaculture facilities with lantern nets. This study describes a physical model experiment that attempts to determine an optimal structure design. The experiment investigated effects of three facility design factors on the mooring line tension and movement of the lantern net and mainline: incident wave angles, lantern net layout depths, and lantern net layout forms (horizontal arrangement/staggered arrangement). The experimental results indicate that the mooring line tension decreases with increasing wave periods. The amplitude and variation of windward mooring line tension are much larger and more complex than that of leeward. The vertical movement amplitude and variation range of the lantern net and mainline are much larger than that of horizontal movement amplitude. Decreasing the incident wave angle, deepening the arrangement depth of lantern nets or adopting staggered arrangement can reduce the mooring line tension in the case of longer wave period. The analysis indicates that increasing the layout depths of the lantern nets and applying the staggered layout form are beneficial in reducing the vertical motion amplitude and elliptical excursion of the mainline. The incident wave angle has a relatively weak effect on the motion of the main and lantern net. Increasing the layout depths of lantern nets will reduce the horizontal and vertical movement amplitudes and elliptical excursion of the lantern nets. Changing the layout forms of the lantern nets from horizontal to staggered will increase the horizontal motion amplitude and decrease the vertical motion amplitude and elliptical excursion of the lantern nets.
Keywords	aquaculture ; hydrodynamics ; models
Language	English
Dates of publication	2019-08
Publishing place	Elsevier B.V.
Document type	Article
ZDB-ID	782663-1
ISSN	0144-8609
ISSN	0144-8609
DOI	10.1016/j.aquaeng.2019.101996
Database	NAL-Catalogue (AGRICOLA)

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Article: Numerical study on wave attenuation inside and around a square array of biofouled net cages

Bi, Chun-Wei / Fu-Kun Gui / Guo-Hai Dong / Tiao-Jian Xu / Yun-Peng Zhao

Aquacultural engineering. 2017 Aug., v. 78

2017

Abstract: In this study, waves propagating through a square array of 16 net cages with different levels of biofouling are numerically studied using a three-dimensional computational fluid dynamics (CFD) model. A porous-media fluid model is adopted to simulate both ...

Abstract	In this study, waves propagating through a square array of 16 net cages with different levels of biofouling are numerically studied using a three-dimensional computational fluid dynamics (CFD) model. A porous-media fluid model is adopted to simulate both clean and biofouled netting of a cage array in waves. A numerical wave tank is built, and the oscillating-boundary method is adopted to generate waves. The flow motion is solved by the Navier-Stokes equations, and the free water surface is captured using the volume of fluid (VOF) method. The numerical model is validated by comparing the numerical data with corresponding experimental measurements of a net-cage model with clean netting. To analyze wave attenuation, a numerical analysis of wave elevation both inside and around the cage arrays is presented, which considers the effect of biofouling. Based on the results of the present study, the effect of biofouling on wave elevation is noticeable; the damping effect of the cage array increases with increasing level of biofouling. Furthermore, the incident angle of waves has a noticeable effect on the wave field inside and around the cage array.
Keywords	angle of incidence ; biofouling ; cages ; equations ; fluid mechanics ; mathematical models ; model validation ; netting ; porous media
Language	English
Dates of publication	2017-08
Size	p. 180-189.
Publishing place	Elsevier B.V.
Document type	Article
ZDB-ID	782663-1
ISSN	0144-8609
ISSN	0144-8609
DOI	10.1016/j.aquaeng.2017.07.006
Database	NAL-Catalogue (AGRICOLA)

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Article: A numerical analysis on the hydrodynamic characteristics of net cages using coupled fluid–structure interaction model

Bi, Chun-Wei / Fu-Kun Gui / Guo-Hai Dong / Yan-Na Zheng / Yun-Peng Zhao

Aquacultural engineering. 2014 Mar., v. 59

2014

Abstract: A numerical approach is proposed to simulate the hydrodynamic characteristics of a net cage in a steady current. The numerical approach is based on the joint use of the porous-media fluid model and the lumped-mass mechanical model. The deformation of a ... ...

Abstract	A numerical approach is proposed to simulate the hydrodynamic characteristics of a net cage in a steady current. The numerical approach is based on the joint use of the porous-media fluid model and the lumped-mass mechanical model. The deformation of a net cage can be calculated using the lumped-mass mechanical model and the flow field around a fishing net can be simulated using the porous-media fluid model. Using an appropriate iterative scheme, the coupled fluid–structure interaction between the flow and net cage can be solved, and the steady flow field inside and around a net cage can be obtained. Using the proposed numerical approach, numerical simulations of flow through a single net cage in different currents, single net cage with different weight modes and multiple net cages are investigated. Validation of the numerical model is conducted by comparing the numerical results with the corresponding physical model measurements. The comparisons demonstrate that both the configuration of the net chamber and the flow-velocity results are in accordance with those of the corresponding physical model tests. It was determined that more accurate results can be obtained by considering the coupled fluid–structure interaction between the flow and the net cage.
Keywords	cages ; deformation ; fish nets ; hydrodynamics ; mathematical models ; porous media ; steady flow
Language	English
Dates of publication	2014-03
Size	p. 1-12.
Publishing place	Elsevier B.V.
Document type	Article
ZDB-ID	782663-1
ISSN	0144-8609
ISSN	0144-8609
DOI	10.1016/j.aquaeng.2014.01.002
Database	NAL-Catalogue (AGRICOLA)

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