Abstract
For structure–acousticsystem with uncertainties, the interval model, the random model and the hybrid uncertain model have been introduced. In the interval model and the random model, the uncertain parameters are described as either the random variable with well defined probability density function (PDF) or the interval variable without any probability information, whereas in the hybrid uncertain model both interval variable and random variable exist simultaneously. For response analysis of these three uncertain models of structure–acoustic problem involving arbitrary PDFs, a unified polynomial expansion method named as the Interval and Random Arbitrary Polynomial Chaos method (IRAPCM) is proposed. In IRAPCM, the response of the structure–acoustic system is approximated by APC expansion in a unified form. Particularly, only the weight function of polynomial basis is required to be changed to construct the APC expansion for the response of different uncertain models. Through the unified APC expansion, the uncertain properties of the response of three uncertain models can be efficiently obtained. As the APC expansion can provide a free choice of the polynomial basis, the optimal polynomial basis for the random variable with arbitrary PDFs can be obtained by using the proposed IRAPCM. The IRAPCM has been employed to solve a mathematical problem and a structure–acoustic problem, and the effectiveness of the unified IRAPCM for response analysis of three uncertain models is demonstrated by fully comparing it with the hybrid first-order perturbation method and several existing polynomial chaos methods.
Highlights
The response analysis of structural-acoustic system is a key procedure for the control and optimization of the vibration and noise behaviors of engineering products, such as automobiles, steamships, aircrafts, submarines and spacecrafts
It is desirable to develop new unified polynomial expansion method that can be used for three uncertain models with interval variable and/or random variable following arbitrary probability distributions
The aim of the present study is to develop a new unified polynomial expansion method for response analysis of structure-acoustic systems with interval and/or random variables
Summary
The response analysis of structural-acoustic system is a key procedure for the control and optimization of the vibration and noise behaviors of engineering products, such as automobiles, steamships, aircrafts, submarines and spacecrafts. There is little research on developing the unified polynomial expansion method for interval model, random model and hybrid uncertain model, especially when the random parameter of these uncertain models is following an arbitrary probability distribution. It is desirable to develop new unified polynomial expansion method that can be used for three uncertain models with interval variable and/or random variable following arbitrary probability distributions. The aim of the present study is to develop a new unified polynomial expansion method for response analysis of structure-acoustic systems with interval and/or random variables. Chaos(APC) which has been successfully applied to uncertainty analysis with random variable following arbitrary probability distributions[51,52,53], will be developed for the 3 uncertainty quantification of interval model and hybrid uncertain model. 41 the weights and nodes of Gauss integration, the polynomial basis of APC expansion is 43 constructed based on the recursive relations of the monic orthogonal polynomial
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