The Physical Behaviour of Seine Ropes for Evaluating Demersal Seine Fishing

Madsen, Nina; Aarsæther, Karl Gunnar; Herrmann, Bent; Hansen, Kurt; Jensen, Jørgen Haavind

doi:10.1115/omae2015-41892

Cited by 4 publications

(7 citation statements)

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“…Time integration is performed with a simple forward Euler scheme [ 11 ] using a time-step of 0.001 sec. The model behind SeineSolver is thoroughly described in [ 12 ]. The ability of the SeineSolver model and tool to predict the kinematic behaviour of seine ropes during haul-in procedures have been tested extensively against flume tank experiments for different seine rope layout patterns and haul-in procedures.…”

Section: Methodsmentioning

confidence: 99%

Predicting the effect of seine rope layout pattern and haul-in procedure on the effectiveness of demersal seine fishing: A Computer simulation-based approach

Madsen¹,

Aarsæther²,

Herrmann³

2017

PLoS ONE

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Demersal Seining is an active fishing method applying two long seine ropes and a seine net. Demersal seining relies on fish responding to the seine rope as it moves during the fishing process. The seine ropes and net are deployed in a specific pattern encircling an area on the seabed. In some variants of demersal seining the haul-in procedure includes a towing phase where the fishing vessel moves forward before starting to winch in the seine ropes. The initial seine rope encircled area, the gradual change in it during the haul-in process and the fish's reaction to the moving seine ropes play an important role in the catch performance of demersal seine fishing. The current study investigates this subject by applying computer simulation models for demersal seine fishing. The demersal seine fishing is dynamic in nature and therefore a dynamic model, SeineSolver is applied for simulating the physical behaviour of the seine ropes during the fishing process. Information about the seine rope behaviour is used as input to another simulation tool, SeineFish that predicts the catch performance of the demersal seine fishing process. SeineFish implements a simple model for how fish at the seabed reacts to an approaching seine rope. Here, the SeineSolver and SeineFish tools are applied to investigate catching performance for a Norwegian demersal seine fishery targeting cod (Gadus morhua) in the coastal zone. The effect of seine rope layout pattern and the duration of the towing phase are investigated. Among the four different layout patterns investigated, the square layout pattern was predicted to perform best; catching 69%-86% more fish than would be obtained with the rectangular layout pattern. Inclusion of a towing phase in the fishing process was found to increase the catch performance for all layout patterns. For the square layout pattern, inclusion of a towing phase of 15 or 35 minutes increased the catch performance by respectively 37% and 48% compared to fishing without a towing phase. These results highlights the importance of the selected seine rope layout pattern and the duration of the towing phase when fishermen try to maximize the catch performance of their fishery. To our knowledge this is the first time the combination of models for the physical behaviour of seine ropes and for fish behaviour in response to seine rope movements have been applied to predict catch performance for demersal seining.

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Section: Methodsmentioning

confidence: 99%

Predicting the effect of seine rope layout pattern and haul-in procedure on the effectiveness of demersal seine fishing: A Computer simulation-based approach

Madsen¹,

Aarsæther²,

Herrmann³

2017

PLoS ONE

Self Cite

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“…The cable can also be modelled as a multibody system composed of a chain of rigid segments, an approach that has been used several times in the literature, e.g., [24,54,34]. Several coordinate choices can be made in this case, and the selection has an impact on simulation efficiency and stability.…”

Section: Multibody Model Of the Cablementioning

confidence: 99%

“…Modelling the system with natural coordinates has significant advantages compared to other coordinate choices used in multibody cable models described in the literature [15,24,34]. In the first place, the Coriolis and velocity-dependent forces term is absent from the dynamics equations and the mass matrix M is constant.…”

Section: Multibody Model Of the Cablementioning

confidence: 99%

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Real-time simulation of cable pay-out and reel-in with towed fishing gears

et al. 2017

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Achieving real-time simulation of fast cable pay-out and reel-in manoeuvres with towed fishing gears is a challenging task. This work presents two new simulation methods based on simplified cable models for this kind of application. First, three numerical techniques are proposed to enhance a classical spring-based cable model, increasing its computational efficiency in manoeuvres that involve reeling the cable around a winch drum. Second, the development of an efficient multibody modelling approach based on natural coordinates is reported. The performance of these methods was assessed with two realistic examples. The numerical experiments involved different values of cable axial stiffness and spatial discretization levels, since these parameters were found to have a major impact on computational efficiency. The proposed methods achieved real-time performance in the simulation of systems modelled with up to a few thousand variables. Each modelling approach has advantages and limitations that must be considered when addressing a given application.

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“…The net was excluded from this model, since several of the identified scenarios involved work on the anchor, weight and mooring system. The implemented model is a continuation and adaption of the underlying simulation technology used to simulate demersal seine ropes in [23].…”

Section: Modellingmentioning

confidence: 99%

Development of a Simulator Training Platform for Fish Farm Operations

Holmen

Thorvaldsen

Aarsæther

2017

Volume 3B: Structures, Safety and Reliability

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The Norwegian aquaculture industry is accident prone compared to other industries and employees report a high number of near-accidents. Furthermore, escape of fish is a challenge for the industry. There is a potential for increased safety for both humans and fish if operators can practice operations in a safe environment. Existing simulators are not suited for this context. This paper presents results from a research and development project aimed at developing a realistic simulator-based training platform for demanding fish farm operations. Three objectives guided the development process. First, a description of operations, aimed at identifying challenges and training needs, which formed the basis for selecting training scenarios well suited for aquaculture. Second, the development of mathematical models that could be used in the simulator were developed, and finally, a curriculum for training course modules to complete the platform. Platform thus points to the integration of the simulator and the practical and theoretical education of operators. In this article, the first and second part of the process are presented and discussed.

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The Physical Behaviour of Seine Ropes for Evaluating Demersal Seine Fishing

Cited by 4 publications

References 0 publications

Predicting the effect of seine rope layout pattern and haul-in procedure on the effectiveness of demersal seine fishing: A Computer simulation-based approach

Predicting the effect of seine rope layout pattern and haul-in procedure on the effectiveness of demersal seine fishing: A Computer simulation-based approach

Real-time simulation of cable pay-out and reel-in with towed fishing gears

Development of a Simulator Training Platform for Fish Farm Operations

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