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This paper describes the application of the stochastic finite element method (SFEM) to problems in which the properties and boundary conditions are temperature dependent. It is shown that, in contrast to systems with constant but uncertain properties, the equations are nonlinear. A method is given mat linearizes the equations. Several examples are given to demonstrate when higher order estimates of the variances are needed. The problems are also solved using stratified sampling, and it is shown that for equal accuracy, the SFEM involves approximately 1 / 20th the computational effort.
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Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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