Definitions
Let \((\varOmega ,\mathfrak {F},\mathsf {P})\) be a probability space, i.e., Ω is a set, \(\mathfrak {F}\) is a σ-field of subsets of Ω, and P is a probability measure on \(\mathfrak {F}\). Let V be a finite-dimensional linear space consisting of tensors, and let \( \mathfrak {B}(\mathsf {V})\) be the σ-field of Borel sets of V. A mapping T: Ω →V is called a random tensor if it is measurable, i.e., for any Borel set B we have \(\mathsf {T}^{-1}(B)\in \mathfrak {F}\). If V consists of scalars, the term random variable is then used instead of random scalar. A tensor random field on a real finite-dimensional affine space E is a function of two variables T: E × Ω →V such that for any A ∈ E the function T(A, ω) is a random tensor.
Why Tensor Random Fields in Continuum Mechanics?
In this article, by continuum physics we understand continuum mechanics and other classical (non-quantum,...
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Acknowledgements
The work of the second author was supported by the National Science Foundation under Grant Number (Grant CMMI-1462749). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author (MO-S) and do not necessarily reflect the views of the National Science Foundation.
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Malyarenko, A., Ostoja-Starzewski, M. (2018). Tensor Random Fields in Continuum Mechanics. In: Altenbach, H., Öchsner, A. (eds) Encyclopedia of Continuum Mechanics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-53605-6_71-1
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