International Journal for Uncertainty Quantification最新文献

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GLOBAL SENSITIVITY ANALYSIS MEASURES BASED ON STATISTICAL DISTANCES 全局敏感性分析基于统计距离度量
IF 1.7 4区 工程技术
International Journal for Uncertainty Quantification Pub Date : 2021-01-01 DOI: 10.1615/int.j.uncertaintyquantification.2021035424
S. Nandi, T. Singh
{"title":"GLOBAL SENSITIVITY ANALYSIS MEASURES BASED ON STATISTICAL DISTANCES","authors":"S. Nandi, T. Singh","doi":"10.1615/int.j.uncertaintyquantification.2021035424","DOIUrl":"https://doi.org/10.1615/int.j.uncertaintyquantification.2021035424","url":null,"abstract":"","PeriodicalId":48814,"journal":{"name":"International Journal for Uncertainty Quantification","volume":"1 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67531111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Field Sensitivity Analysis of Turbulence Model Parameters for Flow Over a Wing 机翼气流湍流模型参数的场灵敏度分析
IF 1.7 4区 工程技术
International Journal for Uncertainty Quantification Pub Date : 2021-01-01 DOI: 10.1615/int.j.uncertaintyquantification.2021036467
J. Quick, R. King, M. T. Henry de Frahan, S. Ananthan, M. Sprague, P. Hamlington
{"title":"Field Sensitivity Analysis of Turbulence Model Parameters for Flow Over a Wing","authors":"J. Quick, R. King, M. T. Henry de Frahan, S. Ananthan, M. Sprague, P. Hamlington","doi":"10.1615/int.j.uncertaintyquantification.2021036467","DOIUrl":"https://doi.org/10.1615/int.j.uncertaintyquantification.2021036467","url":null,"abstract":"","PeriodicalId":48814,"journal":{"name":"International Journal for Uncertainty Quantification","volume":"1 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67531259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
LOCALIZED STOCHASTIC GALERKIN METHODS FOR HELMHOLTZ PROBLEMS CLOSE TO RESONANCE 接近共振亥姆霍兹问题的局域随机伽辽金方法
IF 1.7 4区 工程技术
International Journal for Uncertainty Quantification Pub Date : 2021-01-01 DOI: 10.1615/INT.J.UNCERTAINTYQUANTIFICATION.2021034247
Guanjie Wang, Fei Xue, Qifeng Liao
{"title":"LOCALIZED STOCHASTIC GALERKIN METHODS FOR HELMHOLTZ PROBLEMS CLOSE TO RESONANCE","authors":"Guanjie Wang, Fei Xue, Qifeng Liao","doi":"10.1615/INT.J.UNCERTAINTYQUANTIFICATION.2021034247","DOIUrl":"https://doi.org/10.1615/INT.J.UNCERTAINTYQUANTIFICATION.2021034247","url":null,"abstract":"","PeriodicalId":48814,"journal":{"name":"International Journal for Uncertainty Quantification","volume":"230 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67530948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Methods for approximating distribution of unknown parameters estimates with application in material thermophysics 未知参数估计分布的近似方法及其在材料热物理中的应用
IF 1.7 4区 工程技术
International Journal for Uncertainty Quantification Pub Date : 2021-01-01 DOI: 10.1615/INT.J.UNCERTAINTYQUANTIFICATION.2021033482
D. Jarušková, A. Pázman
{"title":"Methods for approximating distribution of unknown parameters estimates with application in material thermophysics","authors":"D. Jarušková, A. Pázman","doi":"10.1615/INT.J.UNCERTAINTYQUANTIFICATION.2021033482","DOIUrl":"https://doi.org/10.1615/INT.J.UNCERTAINTYQUANTIFICATION.2021033482","url":null,"abstract":"","PeriodicalId":48814,"journal":{"name":"International Journal for Uncertainty Quantification","volume":"1 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67530537","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
DEALING WITH INCONSISTENT MEASUREMENTS IN INVERSE PROBLEMS: SET-BASED APPROACH 反问题中不一致测量的处理:基于集合的方法
IF 1.7 4区 工程技术
International Journal for Uncertainty Quantification Pub Date : 2021-01-01 DOI: 10.1615/INT.J.UNCERTAINTYQUANTIFICATION.2021035536
Krushna Shinde, P. Feissel, Sébastien Destercke
{"title":"DEALING WITH INCONSISTENT MEASUREMENTS IN INVERSE PROBLEMS: SET-BASED APPROACH","authors":"Krushna Shinde, P. Feissel, Sébastien Destercke","doi":"10.1615/INT.J.UNCERTAINTYQUANTIFICATION.2021035536","DOIUrl":"https://doi.org/10.1615/INT.J.UNCERTAINTYQUANTIFICATION.2021035536","url":null,"abstract":"","PeriodicalId":48814,"journal":{"name":"International Journal for Uncertainty Quantification","volume":"308 1","pages":"59-84"},"PeriodicalIF":1.7,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67531151","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
HISTORY MATCHING WITH SUBSET SIMULATION 历史匹配与子集仿真
IF 1.7 4区 工程技术
International Journal for Uncertainty Quantification Pub Date : 2021-01-01 DOI: 10.1615/int.j.uncertaintyquantification.2021033543
Z. Gong, F. DiazDelaO, P. O. Hristov, M. Beer
{"title":"HISTORY MATCHING WITH SUBSET SIMULATION","authors":"Z. Gong, F. DiazDelaO, P. O. Hristov, M. Beer","doi":"10.1615/int.j.uncertaintyquantification.2021033543","DOIUrl":"https://doi.org/10.1615/int.j.uncertaintyquantification.2021033543","url":null,"abstract":"","PeriodicalId":48814,"journal":{"name":"International Journal for Uncertainty Quantification","volume":"1 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67530589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
APPLICATION OF THE λ NEUMANN-MONTE CARLO METHODOLOGY FOR QUANTIFICATION OF THE UNCERTAINTY OF THE PROBLEM OF STOCHASTIC BENDING OF KIRCHHOFF PLATES 应用λ诺伊曼-蒙特卡罗方法量化基尔霍夫板随机弯曲问题的不确定性
IF 1.7 4区 工程技术
International Journal for Uncertainty Quantification Pub Date : 2021-01-01 DOI: 10.1615/int.j.uncertaintyquantification.2020034192
C. R. D. Silva, Roberto M. F. Squarcio, J. L. Cavichiolo, João Morais da Neto
{"title":"APPLICATION OF THE λ NEUMANN-MONTE CARLO METHODOLOGY FOR QUANTIFICATION OF THE UNCERTAINTY OF THE PROBLEM OF STOCHASTIC BENDING OF KIRCHHOFF PLATES","authors":"C. R. D. Silva, Roberto M. F. Squarcio, J. L. Cavichiolo, João Morais da Neto","doi":"10.1615/int.j.uncertaintyquantification.2020034192","DOIUrl":"https://doi.org/10.1615/int.j.uncertaintyquantification.2020034192","url":null,"abstract":"","PeriodicalId":48814,"journal":{"name":"International Journal for Uncertainty Quantification","volume":"11 1","pages":"85-97"},"PeriodicalIF":1.7,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67530937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
LOCAL VORONOI TESSELLATIONS FOR ROBUST MULTIWAVE CALIBRATION OF COMPUTER MODELS 计算机模型鲁棒多波校准的局部voronoi镶嵌
IF 1.7 4区 工程技术
International Journal for Uncertainty Quantification Pub Date : 2021-01-01 DOI: 10.1615/INT.J.UNCERTAINTYQUANTIFICATION.2021034779
Wenzhe Xu, D. Williamson, P. Challenor
{"title":"LOCAL VORONOI TESSELLATIONS FOR ROBUST MULTIWAVE CALIBRATION OF COMPUTER MODELS","authors":"Wenzhe Xu, D. Williamson, P. Challenor","doi":"10.1615/INT.J.UNCERTAINTYQUANTIFICATION.2021034779","DOIUrl":"https://doi.org/10.1615/INT.J.UNCERTAINTYQUANTIFICATION.2021034779","url":null,"abstract":"","PeriodicalId":48814,"journal":{"name":"International Journal for Uncertainty Quantification","volume":"1 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67531059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Scalable Gaussian Process Analysis for Implicit Physics-Based Covariance Models 隐式物理协方差模型的可扩展高斯过程分析
IF 1.7 4区 工程技术
International Journal for Uncertainty Quantification Pub Date : 2021-01-01 DOI: 10.1615/INT.J.UNCERTAINTYQUANTIFICATION.2021036657
Yian Chen, M. Anitescu
{"title":"Scalable Gaussian Process Analysis for Implicit Physics-Based Covariance Models","authors":"Yian Chen, M. Anitescu","doi":"10.1615/INT.J.UNCERTAINTYQUANTIFICATION.2021036657","DOIUrl":"https://doi.org/10.1615/INT.J.UNCERTAINTYQUANTIFICATION.2021036657","url":null,"abstract":"","PeriodicalId":48814,"journal":{"name":"International Journal for Uncertainty Quantification","volume":"1 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67531270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Closure Law Model Uncertainty Quantification 闭合律模型不确定性量化
IF 1.7 4区 工程技术
International Journal for Uncertainty Quantification Pub Date : 2021-01-01 DOI: 10.1615/int.j.uncertaintyquantification.2021037714
A. Strand, J. Kjølaas, T. Bergstrøm, I. Steinsland, L. Hellevik
{"title":"Closure Law Model Uncertainty Quantification","authors":"A. Strand, J. Kjølaas, T. Bergstrøm, I. Steinsland, L. Hellevik","doi":"10.1615/int.j.uncertaintyquantification.2021037714","DOIUrl":"https://doi.org/10.1615/int.j.uncertaintyquantification.2021037714","url":null,"abstract":"The prediction uncertainty in simulators for industrial processes is due to uncertainties in the input variables and uncertainties in specification of the models, in particular the closure laws. In this work, the uncertainty in each closure law was modeled as a random variable and the parameters of its distribution were optimized to correctly quantify the uncertainty in predictions. We have developed two methods for optimization, based on the integrated quadratic distance and the energy score. The proposed methods were applied to the commercial multiphase flow simulator LedaFlow with the liquid volume fraction and pressure gradient as output variables. Two datasets were analyzed. Both describe two-phase gas-liquid flow, but are otherwise fundamentally different. One is gas-dominated stratified/annular flow and the other is liquiddominated slug flow. The closure law for the gas-wall friction factor is decisive for the gas-dominated predictions, and the estimated relative standard deviation is 4.5% or 8.0% depending on method. The liquid-dominated study showed that the liquid-wall friction factor and the slug bubble velocity are the closure laws with the greatest impact. Moreover, the estimated relative standard deviation in the liquid-wall friction factor is 5%, and the deviation in the slug bubble velocity is 4%. We used direct measurements of the slug bubble velocity to validate the estimated uncertainty.","PeriodicalId":48814,"journal":{"name":"International Journal for Uncertainty Quantification","volume":"1 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67531288","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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