Heat conduction in a 2D domain with geometrical uncertainty using intrusive polynomial chaos method
نویسندگان
چکیده
The primary objective of this work is to understand geometrical uncertainty based on the intrusive polynomial chaos method which allows computing the statistical output for geometrical uncertainty. Currently, very few techniques are available for such computations and this makes these computations a very active research topic. This article deals with the computation of some statistics of the solution of the heat equation in a 2D domain with a given geometrical uncertainty on the top surface. This article explains an implementation of geometrical uncertainty and shows the variation in the output temperature with the mesh size and polynomial order of approximation. The polynomial chaos method produced results are compared with the Monte Carlo results. Keywords— Intrusive polynomial chaos, Geometrical uncertainty, Stochastic modeling.
منابع مشابه
A new stochastic approach to transient heat conduction modeling with uncertainty
We present a generalized polynomial chaos algorithm for the solution of transient heat conduction subject to uncertain inputs, i.e. random heat conductivity and capacity. The stochastic input and solution are represented spectrally by the orthogonal polynomial functionals from the Askey scheme, as a generalization of the original polynomial chaos idea of Wiener [Am. J. Math. 60 (1938) 897]. A G...
متن کاملUncertainty Analysis for Parametric Roll Using Non-intrusive Polynomial Chaos
In this paper, uncertainty analysis is carried out on both a simple parametric roll model which can be modeled as a Mathieu equation and a 1.5 degree-of-freedom parametric roll model in regular seas. For both cases, the uncertainty is brought into the system due to the error in predicting the damping coefficients. The non-intrusive polynomial chaos method has been used to assess how the paramet...
متن کاملInverse Identification of Circular Cavity in a 2D Object via Boundary Temperature Measurements Using Artificial Neural Network
In geometric inverse problems, it is assumed that some parts of domain boundaries are not accessible and geometric shape and dimensions of these parts cannot be measured directly. The aim of inverse geometry problems is to approximate the unknown boundary shape by conducting some experimental measurements on accessible surfaces. In the present paper, the artificial neural network is used to sol...
متن کاملUsing the Lattice Boltzmann Method for the numerical study of non-fourier conduction with variable thermal conductivity
The lattice Boltzmann method (LBM) was used to analyze two-dimensional (2D) non-Fourier heat conduction with temperature-dependent thermal conductivity. To this end, the evolution of wave-like temperature distributions in a 2D plate was obtained. The temperature distributions along certain parts of the plate, which was subjected to heat generation and constant thermal conductivity condit...
متن کاملAn efficient hybrid method for uncer- tainty quantification
A technique for coupling an intrusive and non-intrusive uncertainty quantification method is proposed. The intrusive approach uses a combination of polynomial chaos and stochastic Galerkin projection. The non-intrusive method uses numerical integration by combining quadrature rules and the probability density functions of the prescribed uncertainties. A strongly stable coupling procedure betwee...
متن کامل