The computational cost associated with the use of high-fidelity computational fluid complete design space of interest using as few simulation points as possible. Once constructed, the global surrogate model is reused in other stages of the computational engineering pipeline, such as sensitivity analysis. Sensitivity analysis of model output aims to quantify how a model depends on its input factors. Global sensitivity deter-mines the effect on model output of all the input parameters acting simultaneously over their ranges. Most global sensitivit
As computing power increases and data relating to elementary chemical and physical processes improve...
Agent-based models (ABM) are widely used to study immune systems, providing a proce-dural and intera...
The model data used in the paper by Ryan et al. entitled: "Fast sensitivity analysis methods for com...
The computational cost associated with the use of high-fidelity Computational Fluid Dynamics (CFD) m...
Abstract When dealing with computationally expensive simulation codes or process measurement data, s...
As performing many experiments and prototypes leads to a costly and long analysis process, scientist...
In the field of modelling it is easier to find academic papers, guidelines tailored to specific disc...
AbstractThe computational cost associated with the use of high-fidelity computational fluid dynamics...
A novel practical method to conduct a Global Sensitivity Analysis (GSA) for computer models is propo...
The curse of dimensionality confounds the comprehensive evaluation of computational structural mecha...
In this work, surrogate modeling is used to support a global sensitivity analysis (GSA) for a nuclea...
voir aussi article : https://hal.archives-ouvertes.fr/hal-02535146Nuclear Science and Engineering, V...
The tools of sensitivity analyses are old, well known, and used in diverse engineering and non-engin...
In this study, the application of the two-dimensional direct simulation Monte Carlo (DSMC) the non-e...
AbstractThis Invited Lecture covers classic and modern designs, and their metamodels. Classic resolu...
As computing power increases and data relating to elementary chemical and physical processes improve...
Agent-based models (ABM) are widely used to study immune systems, providing a proce-dural and intera...
The model data used in the paper by Ryan et al. entitled: "Fast sensitivity analysis methods for com...
The computational cost associated with the use of high-fidelity Computational Fluid Dynamics (CFD) m...
Abstract When dealing with computationally expensive simulation codes or process measurement data, s...
As performing many experiments and prototypes leads to a costly and long analysis process, scientist...
In the field of modelling it is easier to find academic papers, guidelines tailored to specific disc...
AbstractThe computational cost associated with the use of high-fidelity computational fluid dynamics...
A novel practical method to conduct a Global Sensitivity Analysis (GSA) for computer models is propo...
The curse of dimensionality confounds the comprehensive evaluation of computational structural mecha...
In this work, surrogate modeling is used to support a global sensitivity analysis (GSA) for a nuclea...
voir aussi article : https://hal.archives-ouvertes.fr/hal-02535146Nuclear Science and Engineering, V...
The tools of sensitivity analyses are old, well known, and used in diverse engineering and non-engin...
In this study, the application of the two-dimensional direct simulation Monte Carlo (DSMC) the non-e...
AbstractThis Invited Lecture covers classic and modern designs, and their metamodels. Classic resolu...
As computing power increases and data relating to elementary chemical and physical processes improve...
Agent-based models (ABM) are widely used to study immune systems, providing a proce-dural and intera...
The model data used in the paper by Ryan et al. entitled: "Fast sensitivity analysis methods for com...