Uncertainty Quantification via Variable Fidelity Kriging Model
نویسندگان
چکیده
منابع مشابه
Kriging-model-based uncertainty quantification in computational fluid dynamics
This paper proposes an efficient and accurate non-intrusive uncertainty quantification (UQ) method in computational fluid dynamics (CFD). Emphasis is placed on developing an UQ method that can accurately predict stochastic behaviors of output solution with small number of sampling simulations, and is also accurate for non-smooth output uncertainty responses. The proposed method is based on Krig...
متن کاملVariable Fidelity Optimization Using a Kriging Based Scaling Function
Solving design problems that rely on very complex and computationally expensive calculations using standard optimization methods may not be feasible given design cycle time constraints. Variable fidelity methods address this issue by using lower fidelity models and a scaling function to approximate the higher fidelity models in a provably convergent framework. In the past, scaling functions hav...
متن کاملFunctional derivatives for uncertainty quantification and error estimation and reduction via optimal high-fidelity simulations
One of the most fundamental challenges in predictive modeling and simulation involving materials is quantifying and minimizing the errors that originate from the use of approximate constitutive laws (with uncertain parameters and/or model form). We propose to use functional derivatives of the quantity of interest (QoI) with respect to the input constitutive laws to quantify how the QoI depends ...
متن کاملQuantification of Parametric Uncertainty via an Interval Model
The quantification of model uncertainty becomes increasingly important as robust control is an important tool for control system design and analysis. This paper presents an algorithm to characterize the model uncertainty in terms of parametric and nonparametric uncertainties directly from inputloutput data. We focus on the quantification of parametric uncertainty, which is represented as an int...
متن کاملModel Validation and Uncertainty Quantification
This session offers an open forum to discuss issues and directions of research in the areas of model updating, predictive quality of computer simulations, model validation and uncertainty quantification. Technical presentations review the state-of-the-art in nonlinear dynamics and model validation for structural dynamics. A panel discussion introduces the discussion on technology needs, future ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: JOURNAL OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES
سال: 2012
ISSN: 1344-6460
DOI: 10.2322/jjsass.60.80