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QUANTIFYING THE EPISTEMIC UNCERTAINTY LINKED TO THE DEVELOPMENT PROCESS OF AN EARLY-STAGE COMPONENT FOR CRASHWORTHINESS 量化与早期耐撞部件开发过程相关的认知不确定性
4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering Pub Date : 2023-01-01 DOI: 10.7712/120223.10350.19704
Paolo Ascia, Matthias G. R. Faes, Fabian Duddeck
{"title":"QUANTIFYING THE EPISTEMIC UNCERTAINTY LINKED TO THE DEVELOPMENT PROCESS OF AN EARLY-STAGE COMPONENT FOR CRASHWORTHINESS","authors":"Paolo Ascia, Matthias G. R. Faes, Fabian Duddeck","doi":"10.7712/120223.10350.19704","DOIUrl":"https://doi.org/10.7712/120223.10350.19704","url":null,"abstract":"","PeriodicalId":486785,"journal":{"name":"4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135213473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
UNCERTAINTIES IN THE SYNTHETIC DATA GENERATION FOR THE CREATION OF BRIDGE DIGITAL TWINS 桥梁数字孪生创建中合成数据生成的不确定性
4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering Pub Date : 2023-01-01 DOI: 10.7712/120223.10323.20020
Alejandro Jiménez Rios, Vagelis Plevris, Maria Nogal
{"title":"UNCERTAINTIES IN THE SYNTHETIC DATA GENERATION FOR THE CREATION OF BRIDGE DIGITAL TWINS","authors":"Alejandro Jiménez Rios, Vagelis Plevris, Maria Nogal","doi":"10.7712/120223.10323.20020","DOIUrl":"https://doi.org/10.7712/120223.10323.20020","url":null,"abstract":"","PeriodicalId":486785,"journal":{"name":"4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135213494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
SPECTRAL DENSITY ESTIMATION OF STOCHASTIC PROCESSES UNDER MISSING DATA AND UNCERTAINTY QUANTIFICATION WITH BAYESIAN DEEP LEARNING 缺失数据下随机过程的谱密度估计及贝叶斯深度学习的不确定性量化
4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering Pub Date : 2023-01-01 DOI: 10.7712/120223.10371.19949
Yu Chen, Edoardo Patelli, Benjamin Edwards, Michael Beer
{"title":"SPECTRAL DENSITY ESTIMATION OF STOCHASTIC PROCESSES UNDER MISSING DATA AND UNCERTAINTY QUANTIFICATION WITH BAYESIAN DEEP LEARNING","authors":"Yu Chen, Edoardo Patelli, Benjamin Edwards, Michael Beer","doi":"10.7712/120223.10371.19949","DOIUrl":"https://doi.org/10.7712/120223.10371.19949","url":null,"abstract":". Stochastic processes are widely adopted in many domains to deal with problems which are stochastic in nature and involve strong nonlinearity, nonstationarity and uncertain system parameters. However, the uncertainties of spectral representation of the underlying stochastic processes have not been adequately acknowledged due to the data problems in practice, for instance, missing data. Therefore, this paper proposes a novel method for uncertainty quantification of spectral representation in the presence of missing data using Bayesian deep learning models. A range of missing levels are tested. An example in stochastic dynamics is employed for illustration.","PeriodicalId":486785,"journal":{"name":"4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134882703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
ON PHYSICALLY CONSTRAINED NON-INTRUSIVE POLYNOMIAL CHAOS EXPANSION 物理约束非侵入多项式混沌展开
4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering Pub Date : 2023-01-01 DOI: 10.7712/120223.10330.19857
Lukáš Novák, Himanshu Sharma, Michael D. Shields
{"title":"ON PHYSICALLY CONSTRAINED NON-INTRUSIVE POLYNOMIAL CHAOS EXPANSION","authors":"Lukáš Novák, Himanshu Sharma, Michael D. Shields","doi":"10.7712/120223.10330.19857","DOIUrl":"https://doi.org/10.7712/120223.10330.19857","url":null,"abstract":"","PeriodicalId":486785,"journal":{"name":"4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135784259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
RISK-INFORMED DECISION-MAKING IN VERIFICATION AND VALIDATION UNDER UNCERTAINTY 不确定条件下的验证和确认中的风险知情决策
4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering Pub Date : 2023-01-01 DOI: 10.7712/120223.10360.20354
Saran S. Bodda, Abhinav Gupta
{"title":"RISK-INFORMED DECISION-MAKING IN VERIFICATION AND VALIDATION UNDER UNCERTAINTY","authors":"Saran S. Bodda, Abhinav Gupta","doi":"10.7712/120223.10360.20354","DOIUrl":"https://doi.org/10.7712/120223.10360.20354","url":null,"abstract":"","PeriodicalId":486785,"journal":{"name":"4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135213155","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
TOWARDS RELIABLE AUTOMATED DRIVING SYSTEMS: SURROGATE MODELING USING SPARSE GRIDS AND GAUSSIAN PROCESSES 迈向可靠的自动驾驶系统:使用稀疏网格和高斯过程的代理建模
4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering Pub Date : 2023-01-01 DOI: 10.7712/120223.10334.20319
Naya Baslan, Julian Schmidt, Alexander F. Kerschl, Dirk Pflüger
{"title":"TOWARDS RELIABLE AUTOMATED DRIVING SYSTEMS: SURROGATE MODELING USING SPARSE GRIDS AND GAUSSIAN PROCESSES","authors":"Naya Baslan, Julian Schmidt, Alexander F. Kerschl, Dirk Pflüger","doi":"10.7712/120223.10334.20319","DOIUrl":"https://doi.org/10.7712/120223.10334.20319","url":null,"abstract":"","PeriodicalId":486785,"journal":{"name":"4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135213448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
MODEL DISTANCE BASED MULTIVARIATE GLOBAL-LOCAL RESPONSE SENSITIVITY ANALYSIS FOR UNCERTAIN SYSTEMS 基于模型距离的不确定系统多元全局-局部响应灵敏度分析
4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering Pub Date : 2023-01-01 DOI: 10.7712/120223.10374.19995
K. Vidhya, George Greegar
{"title":"MODEL DISTANCE BASED MULTIVARIATE GLOBAL-LOCAL RESPONSE SENSITIVITY ANALYSIS FOR UNCERTAIN SYSTEMS","authors":"K. Vidhya, George Greegar","doi":"10.7712/120223.10374.19995","DOIUrl":"https://doi.org/10.7712/120223.10374.19995","url":null,"abstract":"","PeriodicalId":486785,"journal":{"name":"4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135213474","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A SELF-LEARNING DIGITAL TWIN FOR PROCESS CONTROL OF FAST PROCESSES UNDER UNCERTAINTY 一种用于不确定快速过程过程控制的自学习数字孪生
4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering Pub Date : 2023-01-01 DOI: 10.7712/120223.10352.19909
Miriam B. Dodt, Augustin Persoons, Matthias G. R. Faes, David Moens
{"title":"A SELF-LEARNING DIGITAL TWIN FOR PROCESS CONTROL OF FAST PROCESSES UNDER UNCERTAINTY","authors":"Miriam B. Dodt, Augustin Persoons, Matthias G. R. Faes, David Moens","doi":"10.7712/120223.10352.19909","DOIUrl":"https://doi.org/10.7712/120223.10352.19909","url":null,"abstract":"","PeriodicalId":486785,"journal":{"name":"4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135213485","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
SENSITIVITY ANALYSIS FOR EFFECTIVE CONDUCTIVITY OF ANISOTROPIC FIBROUS MATERIALS 各向异性纤维材料有效电导率的敏感性分析
4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering Pub Date : 2023-01-01 DOI: 10.7712/120223.10354.19852
Kunkun Tang, Francesco Panerai, Jonathan B. Freund
{"title":"SENSITIVITY ANALYSIS FOR EFFECTIVE CONDUCTIVITY OF ANISOTROPIC FIBROUS MATERIALS","authors":"Kunkun Tang, Francesco Panerai, Jonathan B. Freund","doi":"10.7712/120223.10354.19852","DOIUrl":"https://doi.org/10.7712/120223.10354.19852","url":null,"abstract":"","PeriodicalId":486785,"journal":{"name":"4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135213503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
COMPARING ADAPTIVE SAMPLING ALGORITHMS ON PROBABILISTIC EVALUATIONS OF RARE SCENARIOS 比较罕见情况下概率评估的自适应抽样算法
4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering Pub Date : 2023-01-01 DOI: 10.7712/120223.10365.19790
Jan Soedingrekso, Tanja Eraerds, Martina Kloos, Jörg Peschke, Josef Scheuer
{"title":"COMPARING ADAPTIVE SAMPLING ALGORITHMS ON PROBABILISTIC EVALUATIONS OF RARE SCENARIOS","authors":"Jan Soedingrekso, Tanja Eraerds, Martina Kloos, Jörg Peschke, Josef Scheuer","doi":"10.7712/120223.10365.19790","DOIUrl":"https://doi.org/10.7712/120223.10365.19790","url":null,"abstract":"","PeriodicalId":486785,"journal":{"name":"4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135213481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","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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