Field measurements of cage deformation using acoustic sensors

DeCew, Judson; Fredriksson, David W.; Lader, Pål; Chambers, Michael D.; Howell, W. Huntting; Osienki, M.; Çelıkkol, Barbaros; Frank, Kevin; Høy, Erik

doi:10.1016/j.aquaeng.2013.09.006

Cited by 51 publications

(23 citation statements)

References 22 publications

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“…Therefore, a mesh grouping method was applied to reduce the computational consumption and run time [20,21]. To obtain the volume of the net cage, the scalar triple method was used [4,22].…”

Section: Parametric Studymentioning

confidence: 99%

“…From the images captured by the two digital cameras, we read the three-dimensional coordinate values of the small LED Milight following binarization with the use of MATLAB (Version 2019a, Natick, MA, USA). We then interpolated according to the coordinates obtained above and calculated the volume based on use of the scalar triple method [4,22]. To measure deformation of the net cage, we imaged the shape of the model cage in a uniform flow with a flow rate in the range of 5-50 cm/s at 5 cm/s intervals from the side and below the water circulation tank observation port with two digital cameras ( Figure 3).…”

Section: Verification Experimentsmentioning

confidence: 99%

See 1 more Smart Citation

Effects of Design Factors on Drag Forces and Deformations on Marine Aquaculture Cages: A Parametric Study Based on Numerical Simulations

Dong

You

2020

JMSE

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In Japan, the marine aquaculture net cage has an important role in farming pacific bluefin tuna farming in oceans, and the design of the net cage needs to ensure robustness against hostile oceanic conditions. Accordingly, this study focuses on the drag forces and the cage volume of the net cage, and on their variations induced by different design parameters (netting solidity ratio, netting height, and bottom weight). A series of parametric studies on drag force and deformation of the net cage was conducted using a numerical simulation model. Accordingly, the contribution of each parameter to the drag and volume was analyzed using a generalized additive model. The results indicate that the bottom weight had the highest contribution to the holding ratio of the cage volume, whereas the netting height had the highest contribution to the drag coefficient of the net cage. Finally, a fast prediction model was created by a backpropagation (BP) neural network model and was examined for the accurate prediction of the objective variables.

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“…Therefore, a mesh grouping method was applied to reduce the computational consumption and run time [20,21]. To obtain the volume of the net cage, the scalar triple method was used [4,22].…”

Section: Parametric Studymentioning

confidence: 99%

Section: Verification Experimentsmentioning

confidence: 99%

Effects of Design Factors on Drag Forces and Deformations on Marine Aquaculture Cages: A Parametric Study Based on Numerical Simulations

Dong

You

2020

JMSE

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“…The use of acoustic-based positioning with transmitter tags and hydrophone receivers for a flexible structure has been conducted previously, e.g., [7] and [8]. However, the discussion of position estimate uncertainty is omitted.…”

Section: Imentioning

confidence: 99%

“…, m denotes the signal receiver number. The parameter Σ 2 p i ∈ R 3×3 represents the uncertainty of the receiver position, and = { dt i , RSS i , z } corresponds to the random variable noise terms in (5), (7) and (8). Based on the measurement in (5), (7) and (8), y k in (10) is found as…”

Section: P Ementioning

confidence: 99%

Probabilistic Localization and Mapping of Flexible Underwater Structures using Octomap

Arnesen

Sandøy

Schjølberg

et al. 2018

2018 European Control Conference (ECC)

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This paper addresses localization and mapping of flexible ocean structures. The methodology is based on a network of low cost acoustic transmitters on the structure and receivers stationed in the vicinity of the structure. The position of the receivers is assumed to be known. The position of each transmitter is estimated and represents a point position on the structure. All of the point positions are interpolated and applied in the mapping software Octomap, to build a digital map representation of the whole flexible structure. This map can serve as an environment model for underwater robots navigating close to such structures. An example is underwater robots operating close to or within a flexible ocean structure such as a fish cage. {bent.o.arnesen, stian.s.sandoy, ingrid.schjolberg, ingrid.b.utne }@ntnu.no

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“…Numerous studies that have been previously performed focus mainly on the hydrodynamic characteristics of net cages with clean netting (Aarsnes et al, 1990;Lader and Enerhaug, 2005;Johansson et al, 2007;Lee et al, 2008;Balash et al, 2009;Tsukrov et al, 2011;DeCew et al, 2013; among many others). However, research regarding the hydrodynamic characteristics of biofouled net cages is sparse.…”

Section: Introductionmentioning

confidence: 98%

Numerical study on the hydrodynamic characteristics of biofouled full-scale net cage

Zhao

Dong

2015

China Ocean Eng

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The effect of biofouling on the hydrodynamic characteristics of the net cage is of particular interest as biofouled nettings can significantly reduce flow of well-oxygenated water reaching the stocked fish. For computational efficiency, the porous-media fluid model is proposed to simulate flow through the biofouled plane net and full-scale net cage. The porous coefficients of the porous-media fluid model can be determined from the quadratic-function relationship between the hydrodynamic forces on a plane net and the flow velocity using the least squares method. In this study, drag forces on and flow fields around five plane nets with different levels of biofouling are calculated by use of the proposed model. The numerical results are compared with the experimental data of Swift et al. (2006) and the effectiveness of the numerical model is presented. On that basis, flow through full-scale net cages with the same level of biofouling as the tested plane nets are modeled. The flow fields inside and around biofouled net cages are analyzed and the drag force acting on a net cage is estimated by a control volume analysis method. According to the numerical results, empirical formulas of reduction in flow velocity and load on a net cage are derived as function of drag coefficient of the corresponding biofouled netting.

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Field measurements of cage deformation using acoustic sensors

Cited by 51 publications

References 22 publications

Effects of Design Factors on Drag Forces and Deformations on Marine Aquaculture Cages: A Parametric Study Based on Numerical Simulations

Effects of Design Factors on Drag Forces and Deformations on Marine Aquaculture Cages: A Parametric Study Based on Numerical Simulations

Probabilistic Localization and Mapping of Flexible Underwater Structures using Octomap

Numerical study on the hydrodynamic characteristics of biofouled full-scale net cage

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