4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering最新文献

LINEAR ALGEBRA OF LINEAR AND NONLINEAR BAYESIAN CALIBRATION 线性代数的线性和非线性贝叶斯标定

4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering Pub Date : 1900-01-01 DOI: 10.7712/120221.8042.19074

M. Baudin, R. Lebrun

引用次数: 0

INVERSE PROBLEMS FOR STOCHASTIC NEUTRONICS 随机中子电子学的逆问题

4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering Pub Date : 1900-01-01 DOI: 10.7712/120221.8022.18997

Corentin Houpert, J. Garnier, P. Humbert

{"title":"INVERSE PROBLEMS FOR STOCHASTIC NEUTRONICS","authors":"Corentin Houpert, J. Garnier, P. Humbert","doi":"10.7712/120221.8022.18997","DOIUrl":"https://doi.org/10.7712/120221.8022.18997","url":null,"abstract":". Fissile matter detection and characterisation are crucial issues; especially in nuclear safety, safeguards, matter comptability, reactivity measurements. In this context, we want to identify a source of ﬁssile matter knowing external measures such as instants of detection of neutrons during an interval of measure. Thus we observe the neutrons detection times emitted by the ﬁssile matter and going through the detector, then we compute the moments of the empirical distribution of the number of neutrons detected during a time gate T. In order to identify the source we have to get the following parameters: the multiplication factor k of the system, the intensity of the source S , the ﬁssion efﬁciency ε F . Given the parameters of the source there are some models that allow us to predict the moments of counted number of neutrons during a time gate T. We consider a point model stating monokinetic neutrons are moving in an inﬁnite, isotropic and homogeneous medium. The method makes it possible to compute the ﬁrst moments of the count number distribution. Then, given the moments of counted number of neutrons during a time gate T we want to get the parameters of the ﬁssile source. In order to achieve this goal, we will use the following method","PeriodicalId":444608,"journal":{"name":"4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering","volume":"29 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":"121326831","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

SOFTWARE FOR UNCERTAINTY PROPOGATION AND RELIABILITY ASSESSMENT OF INELASTIC WIND EXCITED SYSTEMS 非弹性风激系统不确定性传播与可靠性评估软件

4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering Pub Date : 1900-01-01 DOI: 10.7712/120221.8044.19131

W. Chuang, S. Spence

引用次数: 0

A SEQUENTIAL MULTI-POINT SAMPLING PROCEDURE FOR SURROGATE MODELS 代理模型的顺序多点抽样程序

4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering Pub Date : 1900-01-01 DOI: 10.7712/120221.8036.18925

M. Fischer, C. Proppe

引用次数: 0

ASSESSMENT OF VARIANTS OF THE METHOD OF MOMENTS AND POLYNOMIAL CHAOS APPROACHES TO AERODYNAMIC UNCERTAINTY QUANTIFICATION 矩量法和多项式混沌法在气动不确定性量化中的应用

4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering Pub Date : 1900-01-01 DOI: 10.7712/120221.8043.19104

E. Papoutsis‐Kiachagias, V. Asouti, K. Giannakoglou

引用次数: 1

LOW-COMPLEXITY ZONOTOPES CAN ENHANCE UNCERTAINTY QUANTIFICATION (UQ) 低复杂度分区可以增强不确定度量化(uq)

4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering Pub Date : 1900-01-01 DOI: 10.7712/120221.8019.18856

O. Kosheleva, V. Kreinovich

{"title":"LOW-COMPLEXITY ZONOTOPES CAN ENHANCE UNCERTAINTY QUANTIFICATION (UQ)","authors":"O. Kosheleva, V. Kreinovich","doi":"10.7712/120221.8019.18856","DOIUrl":"https://doi.org/10.7712/120221.8019.18856","url":null,"abstract":". In many practical situations, the only information that we know about the measurement error is the upper bound Δ on its absolute value. In this case, once we know the measurement result (cid:21) x , the only information that we have about the actual value x of the corresponding quantity is that this value belongs to the interval [ (cid:21) x − Δ , (cid:21) x +Δ] . How can we estimate the accuracy of the result of data processing under this interval uncertainty? In general, computing this accuracy is NP-hard, but in the usual case when measurement errors are relatively small, we can linearize the problem and thus, make computations feasible. This problem is well studied when data processing results in a single value y , but usually, we use the same measurement results to compute the values of several quantities y 1 , . . . , y n . What is the resulting set of tuples ( y 1 , . . . , y n ) ? In this paper, we show that this set is a particular case of what is called a zonotope, and that we can use known results about zonotopes to make the corresponding computational problems easier to solve.","PeriodicalId":444608,"journal":{"name":"4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering","volume":"69 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":"114874586","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: 4

INFLUENCE OF DIFFERENT FULLY NON-STATIONARY ARTIFICIAL TIME HISTORIES GENERATION METHODS ON THE SEISMIC RESPONSE OF FREQUENCY-DEPENDENT STRUCTURES 不同完全非平稳人工时程生成方法对频率相关结构地震反应的影响

4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering Pub Date : 1900-01-01 DOI: 10.7712/120221.8018.19129

F. Genovese, G. Muscolino, A. Palmeri

引用次数: 4

OPTIMAL SELECTION OF BAYESIAN VIRTUAL SENSORS FOR DAMAGE DETECTION UNDER VARIABLE ENVIRONMENTAL CONDITIONS 变环境条件下损伤检测贝叶斯虚拟传感器的优选

4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering Pub Date : 1900-01-01 DOI: 10.7712/120221.8028.18904

J. Kullaa

{"title":"OPTIMAL SELECTION OF BAYESIAN VIRTUAL SENSORS FOR DAMAGE DETECTION UNDER VARIABLE ENVIRONMENTAL CONDITIONS","authors":"J. Kullaa","doi":"10.7712/120221.8028.18904","DOIUrl":"https://doi.org/10.7712/120221.8028.18904","url":null,"abstract":"Measuring structural vibrations with a large sensor network results in lots of data in structural health monitoring applications. A large number of sensors is advantageous for damage detection and localization. By storing only a few selected Bayesian virtual sensors it is possible to decrease the amount of data and reconstruct the discarded sensor data even with higher accuracy than the original measurements. A method is proposed, in which the stored and reconstructed data are used for damage detection and localization in the time domain. A numerical experiment was performed with a structure having a large number of sensors. The excitation and environmental conditions were variable and unknown. An optimal sensor placement algorithm was applied individually to each measurement to select the appropriate virtual sensors for storage. Less than ten percent of the data were stored, and the signals of all the reconstructed sensors were still more accurate than the actual measurements. The stored and reconstructed data outperformed the actual measurement data in damage detection and localization. Surprisingly, damage detection was also more successful with the stored and reconstructed data than with the full set of virtual sensors.","PeriodicalId":444608,"journal":{"name":"4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering","volume":"15 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":"133981032","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

FEM SHAKEDOWN ANALYSIS OF KIRCHOFF-LOVE PLATES UNDER UNCERTAINTY OF STRENGTH kirchoff-love板强度不确定度的有限元安定分析

4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering Pub Date : 1900-01-01 DOI: 10.7712/120221.8041.19047

Ngọc Trình Trần, M. Staat

引用次数: 0

LIMIT REPRESENTATIONS OF IMPRECISE RANDOM FIELDS 限制不精确随机场的表示

4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering Pub Date : 1900-01-01 DOI: 10.7712/120221.8024.19110

M. M. Dannert, Johannes L. Häufler, U. Nackenhorst

引用次数: 1