We describe a procedure to assess the predictive accuracy of process models subject to approximation error and uncertainty. The proposed approach is a functional analysis-based probabilistic approach for which we represent random quantities using polynomial chaos expansions (PCEs). The approach perm
Construction of a probabilistic model for impedance matrices
โ Scribed by R. Cottereau; D. Clouteau; C. Soize
- Publisher
- Elsevier Science
- Year
- 2007
- Tongue
- English
- Weight
- 831 KB
- Volume
- 196
- Category
- Article
- ISSN
- 0045-7825
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โฆ Synopsis
Impedance matrices allow for the coupling of domains with very different properties, and possibly modeled with different methods. This paper presents the construction of a probabilistic model for such matrices, using a nonparametric method that allows for the consideration of data errors as well as model errors. To enable the application of this method in the case of a domain for which no Finite Element model is available, the identification of a ''hidden state variables model'' -from the knowledge of the impedance matrix at a discrete set of frequencies -is also described. Finally the construction of the probabilistic model of the impedance of a pile foundation on a layered unbounded soil illustrates the capabilities of the method.
๐ SIMILAR VOLUMES
Kharaghani, H., A construction for Hadamard matrices, Discrete Mathematics 120 (1993) 115-120. Let 2% be the order of an Hadamard matrix. Using block Golay sequences, a class of Hadamard matrices of order (r + 4" + 1)4"+ 1 m2 is constructed, where r is the length of a Golay sequence.
A theoretical model for the distribution of authorships is developed. This model, the shifted Waring distribution, and 15 other discrete probability models are tested for goodness-of-fit against 94 data sets collected from six fields (engineering sciences, medical sciences, physical sciences, mathem