Publication Detail

Stochastic low-dimensional modeling of natural convection using dynamically orthogonal decomposition

Hessam Babaee, M Choi, T Sapsis

An efficient numerical method for studying the
effect of stochastic parameters on natural convection is presented. In this methodology, the solution is approximated by a generalized Karhunen-Loeve (KL) expansion. The elements of the basis remain orthogonal for all times and they evolve according to the system dynamics to capture the energetically dominant stochastic subspace. The stochasticity can be introduced at the boundary conditions and source terms, a problem setup that includes a wide range of engineering problems.

type: Technical reports

Parent Project

Project No.: 2014-ESRDC-04-LEV
Title: ESRDC - Designing and Powering the Future Fleet Additional Task 1.4.3 Concept Refinement

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