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Theses

Métamodélisation et optimisation de dispositifs photoniques

Abstract : Numerical simulation is widely employed in engineering to study the behavior of a device and optimize its design. Nevertheless, each computation is often time consuming and, during an optimization sequence, the simulation code is evaluated a large number of times. An interesting way to reduce the computational burden is to build a metamodel (or surrogate model) of the simulation code. Adaptive strategies are then set up for the optimization of the component using the metamodel prediction. In the context of this thesis, three representative devices are identified for applications that can be encountered within the CEA LETI optics and photonics department. The study of these cases resulted in two problems to be treated. The first one concerns multifidelity metamodeling, which consists of constructing a metamodel from two simulations of the same component that can be hierarchically ranked in accuracy. The simulations are obtained from different approximations of the physical phenomenon. The work on this method for the case of the photoacoustic cell has generated the development of a new multifidelity surrogate model based on radial basis function. The second problem relate to the consideration of manufacturing uncertainties in the design of photonic devices. Taking into account the differences observed between the desired geometry and the geometry obtained in manufacturing for the optimization of the component efficiency requires the development of a particular method for the case of the adiabatic coupler. The entire work of this thesis is capitalized in a software toolbox.
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https://tel.archives-ouvertes.fr/tel-01868323
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Submitted on : Wednesday, September 5, 2018 - 12:58:05 PM
Last modification on : Thursday, June 11, 2020 - 5:04:07 PM
Long-term archiving on: : Thursday, December 6, 2018 - 4:44:26 PM

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  • HAL Id : tel-01868323, version 1

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Cédric Durantin. Métamodélisation et optimisation de dispositifs photoniques. Modélisation et simulation. Université Côte d'Azur, 2018. Français. ⟨NNT : 2018AZUR4036⟩. ⟨tel-01868323⟩

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