{"id":"https://openalex.org/W2742831097","doi":"https://doi.org/10.1017/s0890060417000178","title":"A semi-intrusive stochastic perturbation method for lift prediction and global sensitivity analysis","display_name":"A semi-intrusive stochastic perturbation method for lift prediction and global sensitivity analysis","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2742831097","doi":"https://doi.org/10.1017/s0890060417000178","mag":"2742831097"},"language":"en","primary_location":{"id":"doi:10.1017/s0890060417000178","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s0890060417000178","pdf_url":null,"source":{"id":"https://openalex.org/S4210193102","display_name":"Artificial intelligence for engineering design analysis and manufacturing","issn_l":"0890-0604","issn":["0890-0604","1469-1760"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence for Engineering Design, Analysis and Manufacturing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042193319","display_name":"Anup Suryawanshi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anup Suryawanshi","raw_affiliation_strings":["Subduction Zone Consultants, Pune, Maharashtra, India"],"affiliations":[{"raw_affiliation_string":"Subduction Zone Consultants, Pune, Maharashtra, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068587810","display_name":"Debraj Ghosh","orcid":"https://orcid.org/0000-0002-9656-223X"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Debraj Ghosh","raw_affiliation_strings":["Department of Civil Engineering, Indian Institute of Science, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5068587810"],"corresponding_institution_ids":["https://openalex.org/I59270414"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10552729,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"31","issue":"3","first_page":"277","last_page":"285"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11371","display_name":"Wind and Air Flow Studies","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9760000109672546,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/perturbation","display_name":"Perturbation (astronomy)","score":0.6713718771934509},{"id":"https://openalex.org/keywords/sobol-sequence","display_name":"Sobol sequence","score":0.5163270831108093},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.5036749243736267},{"id":"https://openalex.org/keywords/lift","display_name":"Lift (data mining)","score":0.49069035053253174},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.47976717352867126},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.47635912895202637},{"id":"https://openalex.org/keywords/galerkin-method","display_name":"Galerkin method","score":0.46637848019599915},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.43494102358818054},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3891427218914032},{"id":"https://openalex.org/keywords/finite-element-method","display_name":"Finite element method","score":0.2991659939289093},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.25146225094795227},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.2448917031288147},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13098227977752686},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11885198950767517},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10971245169639587}],"concepts":[{"id":"https://openalex.org/C177918212","wikidata":"https://www.wikidata.org/wiki/Q803623","display_name":"Perturbation (astronomy)","level":2,"score":0.6713718771934509},{"id":"https://openalex.org/C49740808","wikidata":"https://www.wikidata.org/wiki/Q7550116","display_name":"Sobol sequence","level":3,"score":0.5163270831108093},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.5036749243736267},{"id":"https://openalex.org/C139002025","wikidata":"https://www.wikidata.org/wiki/Q3001212","display_name":"Lift (data mining)","level":2,"score":0.49069035053253174},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.47976717352867126},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.47635912895202637},{"id":"https://openalex.org/C186899397","wikidata":"https://www.wikidata.org/wiki/Q1491980","display_name":"Galerkin method","level":3,"score":0.46637848019599915},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.43494102358818054},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3891427218914032},{"id":"https://openalex.org/C135628077","wikidata":"https://www.wikidata.org/wiki/Q220184","display_name":"Finite element method","level":2,"score":0.2991659939289093},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25146225094795227},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.2448917031288147},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13098227977752686},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11885198950767517},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10971245169639587},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1017/s0890060417000178","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s0890060417000178","pdf_url":null,"source":{"id":"https://openalex.org/S4210193102","display_name":"Artificial intelligence for engineering design analysis and manufacturing","issn_l":"0890-0604","issn":["0890-0604","1469-1760"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence for Engineering Design, Analysis and Manufacturing","raw_type":"journal-article"},{"id":"pmh:oai:eprints.iisc.ac.in:57711","is_oa":false,"landing_page_url":"http://eprints.iisc.ac.in/57711/","pdf_url":null,"source":{"id":"https://openalex.org/S4377196309","display_name":"NOT FOUND REPOSITORY (Indian Institute of Science Bangalore)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I59270414","host_organization_name":"Indian Institute of Science Bangalore","host_organization_lineage":["https://openalex.org/I59270414"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320310071","display_name":"Indian Institute of Science","ror":"https://ror.org/04dese585"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W37214409","https://openalex.org/W105972687","https://openalex.org/W1504676143","https://openalex.org/W1537955670","https://openalex.org/W1538934584","https://openalex.org/W1546214398","https://openalex.org/W1972350501","https://openalex.org/W1972362214","https://openalex.org/W1979179853","https://openalex.org/W1994093475","https://openalex.org/W2002018795","https://openalex.org/W2068761959","https://openalex.org/W2070799732","https://openalex.org/W2083904726","https://openalex.org/W2088024474","https://openalex.org/W2090171599","https://openalex.org/W2092047866","https://openalex.org/W2097831881","https://openalex.org/W2101589741","https://openalex.org/W2127295042","https://openalex.org/W2136602340","https://openalex.org/W2147177966","https://openalex.org/W2163299986","https://openalex.org/W2234144885","https://openalex.org/W2316673954","https://openalex.org/W2323774876","https://openalex.org/W6689634162"],"related_works":["https://openalex.org/W4390576425","https://openalex.org/W2087550141","https://openalex.org/W3030915585","https://openalex.org/W2949491395","https://openalex.org/W2965112349","https://openalex.org/W4299431879","https://openalex.org/W613290306","https://openalex.org/W4200378625","https://openalex.org/W2951907626","https://openalex.org/W2892040579"],"abstract_inverted_index":{"Abstract":[0],"Sensitivity":[1],"analysis":[2,49],"plays":[3],"an":[4,9],"important":[5,216],"role":[6],"in":[7,30,65,100,103,137,156],"finding":[8],"optimal":[10,40],"design":[11,68],"of":[12,20,50,70,85,193,220],"a":[13,26,32,51,55,79,104,108,117,178],"structure":[14],"under":[15],"uncertainty.":[16],"Quantifying":[17],"relative":[18],"importance":[19],"random":[21,94],"parameters,":[22],"which":[23,145,197],"leads":[24],"to":[25,37,134,149,164,189,213],"rank":[27],"ordering,":[28],"helps":[29],"developing":[31],"systematic":[33],"and":[34,47,89,175],"efficient":[35,106],"way":[36],"reach":[38],"the":[39,66,86,98,122,128,138,150,173,194,208,218,221],"design.":[41],"In":[42],"this":[43],"work,":[44],"lift":[45,101,139,174],"prediction":[46,102],"sensitivity":[48,202,206],"potential":[52],"flow":[53,61,73,90,209],"around":[54],"submerged":[56,87,222],"body":[57,88],"is":[58,62,75,114,119,146,162,187],"considered.":[59],"Such":[60],"often":[63],"used":[64,199],"initial":[67],"stage":[69],"structures.":[71],"The":[72,181],"computation":[74],"carried":[76],"out":[77],"using":[78,135,169],"vortex-panel":[80],"method.":[81],"A":[82],"few":[83],"parameters":[84,210,219],"are":[91,198,211],"considered":[92],"as":[93,132],"variables.":[95],"To":[96],"improve":[97],"accuracy":[99],"computationally":[105],"way,":[107],"new":[109],"semi-intrusive":[110,183],"stochastic":[111,158,184],"perturbation":[112,118,136,170,185],"method":[113,186],"proposed.":[115],"Accordingly,":[116],"applied":[120],"at":[121],"linear":[123],"system":[124],"solving":[125],"level":[126],"involving":[127],"inuence":[129],"coefficient":[130],"matrix,":[131],"opposed":[133],"quantity":[140],"itself.":[141],"This":[142],"proposed":[143,182],"method,":[144],"partially":[147],"analogous":[148],"intrusive":[151],"or":[152],"Galerkin":[153],"projection":[154],"methods":[155],"spectral":[157],"finite":[159],"element":[160],"methods,":[161],"found":[163,188,212],"be":[165,214],"more":[166,215],"accurate":[167],"than":[168,177,217],"directly":[171],"on":[172],"faster":[176,191],"direct":[179],"simulation.":[180],"yield":[190],"estimates":[192],"Sobol\u2019":[195],"indices,":[196],"for":[200],"global":[201,205],"analysis.":[203],"From":[204],"analysis,":[207],"body.":[223]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}