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Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019)最新文献

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IMPRECISE RANDOM FIELD ANALYSIS FOR TRANSIENT DYNAMICS 瞬态动力学的不精确随机场分析
M. Faes, D. Moens
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引用次数: 1
VIBRATION BASED STRUCTURAL HEALTH MONITORING OF COMPOSITE CARBON FIBER STRUCTURAL SYSTEMS 基于振动的复合碳纤维结构体系结构健康监测
I. Zacharakis, A. Arailopoulos, O. Markogiannaki, D. Giagopoulos
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引用次数: 1
ON THE USE OF ENSEMBLES OF METAMODELS FOR ESTIMATION OF THE FAILURE PROBABILITY 用元模型集合估计失效概率
C. Amrane, C. Mattrand, P. Beaurepaire, Jean-Marc Bourinet, N. Gayton
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引用次数: 2
MODEL VALIDATION USING BAYESIAN OPTIMAL EXPERIMENTAL DESIGN IN URBAN MECHANISED TUNNELLING 基于贝叶斯优化试验设计的城市机械化隧道模型验证
Raoul Hölter, M. Schoen, A. A. Lavasan, E. Mahmoudi
{"title":"MODEL VALIDATION USING BAYESIAN OPTIMAL EXPERIMENTAL DESIGN IN URBAN MECHANISED TUNNELLING","authors":"Raoul Hölter, M. Schoen, A. A. Lavasan, E. Mahmoudi","doi":"10.7712/120219.6371.18732","DOIUrl":"https://doi.org/10.7712/120219.6371.18732","url":null,"abstract":"","PeriodicalId":153829,"journal":{"name":"Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128859225","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
STOCHASTIC NON-PARAMETRIC IDENTIFICATION IN COMPOSITE STRUCTURES USING EXPERIMENTAL MODAL DATA 基于试验模态数据的复合材料结构随机非参数识别
S. Chandra, K. Sepahvand, C. Geweth, Ferina Saati, S. Marburg
{"title":"STOCHASTIC NON-PARAMETRIC IDENTIFICATION IN COMPOSITE STRUCTURES USING EXPERIMENTAL MODAL DATA","authors":"S. Chandra, K. Sepahvand, C. Geweth, Ferina Saati, S. Marburg","doi":"10.7712/120219.6358.18387","DOIUrl":"https://doi.org/10.7712/120219.6358.18387","url":null,"abstract":"","PeriodicalId":153829,"journal":{"name":"Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128516271","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: 2
UNCERTAINTY ANALYSIS OF A CAR CRASH SCENARIO USING A POSSIBILISTIC MULTI-FIDELITY SCHEME 使用可能性多保真方案的汽车碰撞场景的不确定性分析
M. Mäck, M. Hanss
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引用次数: 1
IMPROVED FLOW PREDICTION IN INTRACRANIAL ANEURYSMS USING DATA ASSIMILATION 利用数据同化改进颅内动脉瘤血流预测
F. Schulz, C. Roloff, D. Stucht, D. Thévenin, O. Speck, G. Janiga
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引用次数: 0
UNCERTAINTY QUANTIFICATION OF NONLINEAR STOCHASTIC DYNAMIC PROBLEM USING A KRIGING-NARX SURROGATE MODEL 用kriging-narx代理模型量化非线性随机动力问题的不确定性
B. Bhattacharyya, E. Jacquelin, D. Brizard
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引用次数: 8
STATISTICAL HOMOGENIZATION OF RANDOM POROUS MEDIA 随机多孔介质的统计均匀化
M. Pingaro, E. Reccia, P. Trovalusci, Maria Laura De Bellis
. In recent times, the scientific community paid great attention to the influence of inher-ent uncertainties on system behavior and recognize the importance of stochastic and statistical approaches to engineering problems [21]. In particular, statistical computational methods may be useful to the constitutive characterization of complex materials, such as composite materials characterized by non-periodic internal micro-structure. Random porous media exhibit a microstructure made of randomly distributed pores embedded into a continuous matrix. They can be modelled as a bi-material system in which circular soft inclusions (pores) with random distribution and variable diameters are dispersed in a stiffer matrix. A key aspect, recently investigated by many researchers, is the evaluation of appropriate mechanical properties to be adopted for the study of their behaviour. Differently from classical homogenization approaches, in the case of materials with random microstructure it is not possible to ‘a-priori’ define a Representative Volume Element (RVE), this being an unknown of the problem. Statistical homogenization procedures may be adopted for the
. 近年来,科学界非常重视固有不确定性对系统行为的影响,并认识到随机和统计方法对工程问题的重要性[21]。特别是,统计计算方法可能对复杂材料的本构表征有用,例如以非周期内部微观结构为特征的复合材料。随机多孔介质是一种由随机分布的孔隙嵌入连续基质的微观结构。它们可以建模为双材料系统,其中随机分布和可变直径的圆形软夹杂(孔隙)分散在较硬的基体中。最近许多研究人员研究的一个关键方面是评估用于研究其行为的适当机械性能。与经典的均质化方法不同,在具有随机微观结构的材料的情况下,不可能“先验地”定义代表性体积单元(RVE),这是一个未知的问题。可采用统计均匀化程序
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引用次数: 1
A HEALTH MONITORING FRAMEWORK FOR OPTIMAL SERVICE LIFE PREDICTIONS OF STEEL STRUCTURES UNDER FATIGUE LOADING 疲劳荷载作用下钢结构最佳使用寿命预测健康监测框架
Nour Wehbi, Wael Slika
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引用次数: 2
期刊
Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019)
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