Resolving combined wave-current fields from measurements using interior point optimization
dc.contributor.author | Draycott, S | |
dc.contributor.author | Pillai, AC | |
dc.contributor.author | Ingram, DM | |
dc.contributor.author | Johanning, L | |
dc.date.accessioned | 2019-03-18T09:32:14Z | |
dc.date.issued | 2019-03-23 | |
dc.description.abstract | Complex wave and wave-current conditions exist in the natural world, and are increasingly emulated in advanced experimental facilities to de-risk the deployment, operation and maintenance of onshore structures and renewable energy devices. This can include combinations of ocean swell, multi-directional wind-driven seas, and reflected wave conditions interacting with a current field. It is vital to understand the full nature of these potentially hazardous conditions so they can be properly simulated in numerical models, to contextualize measurements made in field, and experimental programmes. Here, a numerical framework is presented for isolating both the wave systems and the mean current velocities from measured data using an interior point optimizer. A developed frequency domain solver is used to resolve, from experimentally obtained wave gauge measurements, two opposing wave systems on a collinear current, and used to electively isolate the wave systems and predict the current velocity using only wave gauge measurements. Thirty five test cases are considered; consisting of five wave spectra interacting with seven different current velocities ranging from 0:3ms1 to 0:3ms1. Comparisons between the theoretical and derived wave numbers and current velocities show good agreement and the performance of the method is similar to that of existing methodologies while requiring no a priori knowledge of the current velocity impacting the wave field required. Although results are presented for the collinear problem, the presented method can be applied to a wide range of wave and current combinations, and provides a useful tool for increasing understanding of both ocean and experimental conditions. | en_GB |
dc.description.sponsorship | Engineering and Physical Sciences Research Council (EPSRC) | en_GB |
dc.description.sponsorship | Energy Technologies Institute | en_GB |
dc.identifier.citation | Published online 23 March 2019 | en_GB |
dc.identifier.doi | 10.1016/j.coastaleng.2019.03.008 | |
dc.identifier.grantnumber | EP/P008682/1 | en_GB |
dc.identifier.grantnumber | EP/J500847/1 | en_GB |
dc.identifier.grantnumber | EP/I02932X/1 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/36527 | |
dc.language.iso | en | en_GB |
dc.publisher | Elsevier | en_GB |
dc.rights | © 2018 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (https://creativecommons.org/licenses/by/4.0/). | |
dc.subject | Wave-Current Interactions | en_GB |
dc.subject | Wave Reflection Analysis | en_GB |
dc.subject | Tank Testing | en_GB |
dc.subject | Interior-Point Optimization | en_GB |
dc.subject | Non-linear Programming | en_GB |
dc.title | Resolving combined wave-current fields from measurements using interior point optimization | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2019-03-18T09:32:14Z | |
dc.identifier.issn | 0378-3839 | |
dc.description | This is the author accepted manuscript. the final version is available on open access from Elsevier via the DOI in this record | en_GB |
dc.identifier.journal | Coastal Engineering | en_GB |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2019-03-18 | |
exeter.funder | ::Engineering and Physical Sciences Research Council (EPSRC) | en_GB |
rioxxterms.version | AM | en_GB |
rioxxterms.licenseref.startdate | 2019-03-18 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2019-03-18T08:46:41Z | |
refterms.versionFCD | AM | |
refterms.dateFOA | 2019-03-27T14:25:40Z | |
refterms.panel | B | en_GB |
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Except where otherwise noted, this item's licence is described as © 2018 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license
(https://creativecommons.org/licenses/by/4.0/).