Results 51 to 60 of about 2,760,384 (196)
A low-order stochastically forced two-layer global energy balance model (EBM) admitting an analytical solution is developed for studying natural inter-annual, decadal and multi-decadal climate variability, and ultimately to better understand forced ...
Sergei Soldatenko, Robert Colman
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Sensitivity analysis and uncertainty quantification of stiffness modulus using indirect tensile test
The stiffness modulus is a critical element in pavement engineering, as its accurate measurement directly reflects the load-bearing capacity of the pavement section.
Hicham Mezouara +4 more
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To provide reliable safety margins in reactor design and safety analysis, the best estimate plus uncertainty (BEPU) analysis, which is recommended by the International Atomic Energy Agency (IAEA), has drawn increasing attention worldwide.
Haijun Liu +5 more
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Snow cover plays a crucial role in the surface energy balance and hydrology and serves as a key indicator of climate change. In this study, we conducted an ensemble simulation comprising 48 members generated by randomly combining the parameterizations of
Yuanhong You, Chunlin Huang, Yuhao Zhang
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Global Sensitivity Analysis of Large Reaction Mechanisms Using Fourier Amplitude Sensitivity Test
Global sensitivity analysis (GSA) of large chemical reaction mechanisms remains a challenge since the model with uncertainties in the large number of input parameters provides large dimension of input parameter space and tends to be difficult to evaluate
Shengqiang Lin +3 more
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Polynomial chaos expansion for sensitivity analysis of model output with dependent inputs
Thierry A. Mara, William E. Becker
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Chenglin Ye,1,2 Gina Browne,1,3 Joseph Beyene,1 Lehana Thabane1,2 1Department of Clinical Epidemiology and Biostatistics, McMaster University, 2Biostatistcs Unit, St Joseph's Healthcare Hamilton, 3School of Nursing, McMaster University, Hamilton, ON,
Ye C, Browne G, Beyene J, Thabane L
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Optimization of structures subjected to dynamic load: deterministic and probabilistic methods
This paper deals with the deterministic and probabilistic optimization of structures against bending when submitted to dynamic loads. The deterministic optimization problem considers the plate submitted to a time varying load while the probabilistic one ...
Élcio Cassimiro Alves
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Derivative-Variance Hybrid Global Sensitivity Measure with Optimal Sampling Method Selection
This paper proposes a derivative-variance hybrid global sensitivity measure with optimal sampling method selection. The proposed sensitivity measure is as computationally efficient as the derivative-based global sensitivity measure, which also serves as ...
Jiacheng Liu +5 more
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Development of atmospheric boundary layer model including urban canopy : sensitivity analysis
Akira Kondo +2 more
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