Results 11 to 20 of about 252,868 (269)

Integration of Dimension Reduction and Uncertainty Quantification in Designing Stretchable Strain Gauge Sensor [PDF]

Applied Sciences, 2020
Interests in strain gauge sensors employing stretchable patch antenna have escalated in the area of structural health monitoring, because the malleable sensor is sensitive to capturing strain variation in any shape of structure.
Sungkun Hwang, Recep M. Gorguluarslan, Hae-Jin Choi, Seung-Kyum Choi   +3 more
doaj   +2 more sources

Uncertainty Quantification and Reduction Using Sensitivity Analysis and Hessian Derivatives [PDF]

Volume 3B: 47th Design Automation Conference (DAC), 2021
Abstract We study the use of Hessian interaction terms to quickly identify design variables that reduce variability of system performance. To start we quantify the uncertainty and compute the variance decomposition to determine noise variables that contribute most, all at an initial design.
Otto Kevin, Sánchez Josefina
openaire   +4 more sources

Uncertainty quantification and reduction in metal additive manufacturing [PDF]

npj Computational Materials, 2020
AbstractUncertainty quantification (UQ) in metal additive manufacturing (AM) has attracted tremendous interest in order to dramatically improve product reliability. Model-based UQ, which relies on the validity of a computational model, has been widely explored as a potential substitute for the time-consuming and expensive UQ solely based on experiments.
Zhuo Wang, Chen Jiang, Pengwei Liu, Wenhua Yang, Ying Zhao, Mark F. Horstemeyer, Long-Qing Chen, Zhen Hu, Lei Chen   +8 more
openaire   +1 more source

Bayesian Quantification and Reduction of Uncertainties in 3D Geomechanical‐Numerical Models [PDF]

Journal of Geophysical Research: Solid Earth, 2022
AbstractThe distance to failure of the upper crustal rock in the prevalent stress field is of importance to better understand fault reactivation by natural and induced processes as well as to plan and manage georeservoirs. In particular, the contemporary stress state is one of the key ingredients for this assessment. To provide a continuous description
Ziegler, Moritz O., Heidbach, Oliver, Heidbach, Oliver; 1 GFZ German Research Centre for Geosciences Potsdam Germany   +2 more
openaire   +4 more sources

High-Dimensional Uncertainty Quantification in Electrical Impedance Tomography Forward Problem Based on Deep Neural Network

IEEE Access, 2023
In electrical impedance tomography (EIT), the uncertainty of conductivity distribution may cause the uncertainty in the forward calculation and further affect the inverse problem.
Yingge Zhao, Lingyue Wang, Ying Li, Renjie He, Chonglei Ma   +4 more
doaj   +1 more source

Advances in High-Order Sensitivity Analysis for Uncertainty Quantification and Reduction in Nuclear Energy Systems

Energies, 2022
The computational models of physical systems comprise parameters, independent and dependent variables [...]
Dan Gabriel Cacuci
doaj   +1 more source

DATA ASSIMILATION APPLIED TO PRESSURISED WATER REACTORS [PDF]

EPJ Web of Conferences, 2021
Best estimate plus uncertainty is the leading methodology to validate existing safety margins. It remains a challenge to develop and license these approaches, in part due to the high dimensionality of system codes. Uncertainty quantification is an active
Dixon J.R, Lindley B.A., Taylor T., Parks G.T.   +3 more
doaj   +1 more source

Research on the Application of Uncertainty Quantification (UQ) Method in High-Voltage (HV) Cable Fault Location

Energies, 2022
In HV cable fault location technology, line parameter uncertainty has an impact on the location criterion and affects the fault location result. Therefore, it is of great significance to study the uncertainty quantification of line parameters.
Bin Yang, Zhanran Xia, Xinyun Gao, Jing Tu, Hao Zhou, Jun Wu, Mingzhen Li   +6 more
doaj   +1 more source

A decomposition-based uncertainty quantification approach for environmental impacts of aviation technology and operation [PDF]

, 2018
As a measure to manage the climate impact of aviation, significant enhancements to aviation technologies and operations are necessary. When assessing these enhancements and their respective impacts on the climate, it is important that we also quantify ...
Allaire, Douglas L, Amaral, Sergio Daniel Marques, De La Rosa Blanco, Elena, Willcox, Karen E   +3 more
core   +1 more source

UNCERTAINTY QUANTIFICATION FOR MAXWELL'S EQUATIONS USING STOCHASTIC COLLOCATION AND MODEL ORDER REDUCTION [PDF]

International Journal for Uncertainty Quantification, 2015
Modeling and simulation are important for the design process of new semiconductor structures. Difficulties proceed from shrinking structures, increasing working frequencies, and uncertainties of materials and geometries. Therefore, we consider the time-harmonic Maxwell’s equations for the simulation of a coplanar waveguide with uncertain material ...
Benner, Peter, Schneider, Judith
openaire   +4 more sources