Statistical analysis consists of two phases: induction for model parameter estimation and deduction to make decisions on the basis of the statistical model. In the Bayesian context, predictive analysis is the key concept to perform the deductive phase. In that context, Monte-Carlo posterior simulati
Control of a mechanical aeration process via topological sensitivity analysis
โ Scribed by M. Abdelwahed; M. Hassine; M. Masmoudi
- Book ID
- 104006026
- Publisher
- Elsevier Science
- Year
- 2009
- Tongue
- English
- Weight
- 823 KB
- Volume
- 228
- Category
- Article
- ISSN
- 0377-0427
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โฆ Synopsis
The topological sensitivity analysis method gives the variation of a criterion with respect to the creation of a small hole in the domain. In this paper, we use this method to control the mechanical aeration process in eutrophic lakes. A simplified model based on incompressible Navier-Stokes equations is used, only considering the liquid phase, which is the dominant one. The injected air is taken into account through local boundary conditions for the velocity, on the injector holes. A 3D numerical simulation of the aeration effects is proposed using a mixed finite element method. In order to generate the best motion in the fluid for aeration purposes, the optimization of the injector location is considered. The main idea is to carry out topological sensitivity analysis with respect to the insertion of an injector. Finally, a topological optimization algorithm is proposed and some numerical results, showing the efficiency of our approach, are presented.
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