Quantitative metrics for evaluation of wave fields in basins
dc.contributor.author | Collins, KM | |
dc.contributor.author | Stripling, S | |
dc.contributor.author | Simmonds, D | |
dc.contributor.author | Greaves, D | |
dc.date.accessioned | 2018-09-10T10:18:26Z | |
dc.date.issued | 2018-12-01 | |
dc.identifier.issn | 0029-8018 | |
dc.identifier.uri | http://hdl.handle.net/10026.1/12296 | |
dc.description.abstract |
Scale model testing in wave basins is a necessary part of the development of marine structures and marine renewable energy devices. Whilst many guidelines exist for the quality of experimentation and data acquisition, there are no standards for the basins themselves. We propose methodologies for assessing the quality of a wave field generated in a basin: a clustering parameter based on the variance of surface elevation at multiple gauges is used to score homogeneity and extended to a skill score for relative quality benchmarking. We use historic and recent data from the University of Plymouth's Ocean Basin as a case study for the methods. The quality metrics indicate that physical aspects of the basin itself, such as water depth, contribute the most to the accuracy and homogeneity with wave period performing better than height. Recommendations for experimentalists, such as using basins when operating in steady state, are presented and discussed. | |
dc.format.extent | 300-314 | |
dc.language | en | |
dc.language.iso | en | |
dc.publisher | Elsevier | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.subject | wave basins | |
dc.subject | benchmarking | |
dc.subject | skill score | |
dc.subject | wave generation | |
dc.title | Quantitative metrics for evaluation of wave fields in basins | |
dc.type | journal-article | |
dc.type | Article | |
plymouth.author-url | https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000449242100023&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008 | |
plymouth.volume | 169 | |
plymouth.publication-status | Published | |
plymouth.journal | Ocean Engineering | |
dc.identifier.doi | 10.1016/j.oceaneng.2018.09.010 | |
plymouth.organisational-group | /Plymouth | |
plymouth.organisational-group | /Plymouth/Faculty of Science and Engineering | |
plymouth.organisational-group | /Plymouth/Faculty of Science and Engineering/School of Engineering, Computing and Mathematics | |
plymouth.organisational-group | /Plymouth/PRIMaRE Publications | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA/UoA12 Engineering | |
plymouth.organisational-group | /Plymouth/Research Groups | |
plymouth.organisational-group | /Plymouth/Research Groups/Marine Institute | |
plymouth.organisational-group | /Plymouth/Users by role | |
plymouth.organisational-group | /Plymouth/Users by role/Academics | |
plymouth.organisational-group | /Plymouth/Users by role/Researchers in ResearchFish submission | |
dcterms.dateAccepted | 2018-09-02 | |
dc.rights.embargodate | 2019-10-16 | |
dc.rights.embargoperiod | Not known | |
rioxxterms.funder | EPSRC | |
rioxxterms.identifier.project | Partnership for Research In Marine Renewable Energy (PRIMaRE) | |
rioxxterms.version | Accepted Manuscript | |
rioxxterms.versionofrecord | 10.1016/j.oceaneng.2018.09.010 | |
rioxxterms.licenseref.uri | http://www.rioxx.net/licenses/all-rights-reserved | |
rioxxterms.licenseref.startdate | 2018-12-01 | |
rioxxterms.type | Journal Article/Review | |
plymouth.funder | Partnership for Research In Marine Renewable Energy (PRIMaRE)::EPSRC |