LEADER 01761nam 2200433I 450 001 9910707328803321 005 20160727085914.0 035 $a(CKB)5470000002464232 035 $a(OCoLC)954033544 035 $a(EXLCZ)995470000002464232 100 $a20160727d2016 ua 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aApplication of the most likely extreme response method for wave energy converters $epreprint /$fEliot Quon 210 1$a[Golden, Colo.] :$cNational Renewable Energy Laboratory,$d2016. 215 $a1 online resource (11 pages) $ccolor illustrations 225 1 $aNREL/CP ;$v5000-65926 300 $aTitle from title screen (viewed on July 22, 2016). 300 $a"July 2016." 300 $a"Presented at the 35th International Conference on Ocean, Offshore and Arctic Engineering (OMAE 2016), 19-24 June 2016, Busan, South Korea." 320 $aIncludes bibliographical references (pages 10-11). 517 $aApplication of the most likely extreme response method for wave energy converters 606 $aOcean wave power$vCongresses 606 $aComputational fluid dynamics$vCongresses 608 $aConference papers and proceedings.$2lcgft 615 0$aOcean wave power 615 0$aComputational fluid dynamics 700 $aQuon$b Eliot$01396255 712 02$aNational Renewable Energy Laboratory (U.S.), 712 12$aInternational Conference on Ocean, Offshore and Arctic Engineering. 801 0$bGPO 801 1$bGPO 906 $aBOOK 912 $a9910707328803321 996 $aApplication of the most likely extreme response method for wave energy converters$93456039 997 $aUNINA