Fictitious Domain with Least-Squares Spectral Element Method to Explore Geometric Uncertainties by Non-Intrusive Polynomial Chaos Method
نویسندگان
چکیده
In this paper the Non-Intrusive Polynomial Chaos Method coupled to a Fictitious Domain approach has been applied to oneand twodimensional elliptic problems with geometric uncertainties, in order to demonstrate the accuracy and convergence of the methodology. The main advantage of non-intrusive formulation is that existing deterministic solvers can be used. A new Least-Squares Spectral Element method has been employed for the analysis of deterministic differential problems obtained by Non-Intrusive Polynomial Chaos. This algorithm employs a Fictitious Domain approach and for this reason its main advantage lies in the fact that only a Cartesian mesh needs to be generated. Excellent accuracy properties of method are demonstrated by numerical experiments. Keyword: Non-Intrusive Polynomial Chaos, Fictitious Domain, Lagrange multipliers, LeastSquares Spectral Element Method.
منابع مشابه
Evaluation of Non-Intrusive Approaches for Wiener-Askey Generalized Polynomial Chaos
Polynomial chaos expansions (PCE) are an attractive technique for uncertainty quantification (UQ) due to their strong mathematical basis and ability to produce functional representations of stochastic variability. When tailoring the orthogonal polynomial bases to match the forms of the input uncertainties in a Wiener-Askey scheme, excellent convergence properties can be achieved for general pro...
متن کاملVerification and validation of least-squares fictitious domain method with finite-hp element approximation
The proposed numerical method, based on the fictitious domain approach, has been conceived for the solution of differential problems defined on domain changing in time and space, i.e. in general structural elastic problems, fluid dynamics problems with moving rigid bodies, shape optimization problems, differential equations defined on stochastic domain, and so on. This means the same problem is...
متن کاملAdaptive sparse polynomial chaos expansion based on least angle regression
Polynomial chaos (PC) expansions are used in stochastic finite element analysis to represent the random model response by a set of coefficients in a suitable (so-called polynomial chaos) basis. The number of terms to be computed grows dramatically with the size of the input random vector, which makes the computational cost of classical solution schemes (may it be intrusive (i.e. of Galerkin typ...
متن کاملPolynomial chaos for boundary value problems of dynamical systems
Mathematical modelling of dynamical processes often yields systems of ordinary differential equations (ODEs) or differential algebraic equations (DAEs). We investigate corresponding boundary value problems. Considering uncertainties in physical parameters of the systems, we introduce random variables. This stochastic model is resolved by the strategy of the polynomial chaos. A non-intrusive app...
متن کاملNumerical Solution of Linear Elliptic Problems with Robin Boundary Conditions by a Least-Squares/Fictitious Domain Method
Motivated by the numerical simulation of particulate flow with slip boundary conditions at the interface fluid/particles, our goal, in this publication, is to discuss a fictitious domain method for the solution of linear elliptic boundary value problems with Robin boundary conditions. The method is of the virtual control type and relies on a least-squares formulation making the problem solvable...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2007