Drag characterisation of prawn-trawl bodies. (1st February 2016)

• Record Type: Journal Article
• Authors: Balash, Cheslav; Sterling, David; Binns, Jonathan; Thomas, Giles; Bose, Neil
• Is Part Of: Ocean engineering. Volume 113(2016)
• Page Start: 18
• Page End: 23
• Publication Date: 2016-02-01
• Subjects: Netting drag -- Trawl body taper -- Trawl horizontal spread -- Trawl gape -- Trawl vertical opening -- Wing-end mesh count; Ocean engineering -- Periodicals; Ocean engineering; Periodicals; 620.4162
• DOI: 10.1016/j.oceaneng.2015.12.034
• Languages: English
• ISSNs: 0029-8018

Abstract

Abstract: The drag of a prawn-trawl body is characterised by five design and three operational variables. The design variables comprise headline length, steepness of trawl side cut, width-to-depth mesh ratio of the trawl mouth (gape), vertical wing-end mesh count, and netting solidity; all of which effectively determine the planar twine-area of the trawl. The operational variables include towing velocity, horizontal spread, and vertical opening (headline height)—these determine the extent that the netting is exposed to relative water movement. The individual drag effects of the above variables (except for headline length, gape, and netting solidity) were systematically examined in a flume tank with prawn-trawl models built with low-stiffness full-scale netting; and the existing literature was consulted on the drag effects of gape, while drag was assumed to be proportional to twine diameter, mesh size −1 and headline length 2 . The developed equations in non-dimensional forms provide the basis for a drag-prediction model for a prawn trawl of any size, construction and operating conditions. Comparisons with previously published prediction equations showed considerable disagreement in some aspects, and suggest that using stiff, full-scale netting in past model experiments have produced significant model-to-full-scale prediction errors owing to the poor equivalence of twine bending-stiffness-to-netting-tension ratio. Highlights: Framework involving 8 variables developed for predicting prawn-trawl drag. The drag-effect of each variable was estimated based on flume tank measurements. Key empirical equations were developed for prediction of prawn-trawl drag. Twine stiffness in model nets may cause large prediction errors for full-scale drag.