Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Unsicherheitsquantifizierung"'
Autor:
Ehre, Maximilian
Model-based uncertainty quantification plays a central role in modern engineering practice. In this thesis, we address the efficient quantification of high-dimensional uncertainties and the separate treatment of different kinds of uncertainties. We p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______518::8f8cfd2fb775a2990c0da7a0add00298
https://mediatum.ub.tum.de/1616924
https://mediatum.ub.tum.de/1616924
Autor:
Wang, Hongxin
A digital system for the uncertainty quantification and minimization of chemical kinetic models. The uncertainties of the reaction rate constants, modeling results, and experimental data were estimated. The discrepancy measure was defined and reduced
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______518::4b92e44160c3c9f9a7d0e6ade9efff70
https://mediatum.ub.tum.de/doc/1663654/document.pdf
https://mediatum.ub.tum.de/doc/1663654/document.pdf
Autor:
Liu, Zhe
The dynamic response of tires directly affects the handling stability and ride comfort of vehicles. In this study, a novel theoretical model, the coupled rigid-flexible ring model, is presented to analyze the characteristics of the dynamic responses
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______518::a4007cddd2c4523ab5309e1116e59c4f
https://mediatum.ub.tum.de/1690000
https://mediatum.ub.tum.de/1690000
Autor:
Sakuma, Mayu
Computational models used to design buildings and bridges must account for the uncertainties associated with the interaction between structures and wind. Uncertainty Quantification has been increasingly used, however application to the computational
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______518::f56a8b12b8c867c97768a2e54f87848d
https://mediatum.ub.tum.de/doc/1637767/document.pdf
https://mediatum.ub.tum.de/doc/1637767/document.pdf
Autor:
Cangalovic, Vanja Sophie
Medical imaging is a cornerstone for medical diagnosis, treatment planning, and clinical studies. In order to delineate anatomical structures and other regions of interest in such images, deep neural networks can be employed, performing image segment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______139::20afd88a4c81ac7f22c6ef66ea8bc9f1
https://doi.org/10.26092/elib/2189
https://doi.org/10.26092/elib/2189
Autor:
Avdonin, Alexander
The local flame modeling is required at high frequencies when the flame is no longer acoustically compact. This thesis suggests to model a local flame response by the "linearized reactive flow" approach. This approach is applied to model a laminar fl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______518::c28e0367dc56373665a9bb2909b789f7
https://mediatum.ub.tum.de/doc/1631267/document.pdf
https://mediatum.ub.tum.de/doc/1631267/document.pdf
Autor:
Wang, Xiaolong
This thesis introduces advanced uncertainty quantification (UQ) methods to enhance the quality of the Predictive Analysis (PA) algorithms, supporting incident probability prediction, model calibration, contributing factors modeling, sensitivity analy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______518::e1696802e852ea59357aa755bfcd4e28
https://mediatum.ub.tum.de/1634646
https://mediatum.ub.tum.de/1634646
Akademický článek
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Autor:
Milz, Johannes
We develop an efficient sampling-free approximation scheme for moment-based distributionally robust nonlinear optimization problems. Our approach utilizes a smoothing method that allows the use of gradient-based optimization methods. We apply our sch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______518::c0743af2e4fc50e7e32da2d4a6345f29
https://mediatum.ub.tum.de/1584169
https://mediatum.ub.tum.de/1584169