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Coronel, Aníbal; Berres, Stefan; Lagos, Richard

Calibration of a sedimentation model through a continuous genetic algorithm. (English) Zbl 1465.76102

Inverse Probl. Sci. Eng. 27, No. 9, 1263-1278 (2019).
Summary: In this contribution we consider the problem of flux identification in a scalar conservation law modelling the phenomenon of sedimentation. The experimental observation data used for the calibration consist of a solid concentration profile at a fixed time. The identification problem is formulated as an optimization one, where the distance between the profiles of the model simulation and observation data is minimized by a least squares cost function. The direct problem is approximated by a monotone finite volume scheme. The numerical solution of the calibration problem is obtained by a continuous genetic algorithm. Numerical results are presented in order to validate the efficiency of the proposed algorithm.

Cited in 2 Documents

MSC:

76T20 Suspensions
76M21 Inverse problems in fluid mechanics
76M12 Finite volume methods applied to problems in fluid mechanics
76M99 Basic methods in fluid mechanics

Keywords:

Kynch model; continuous genetic algorithm; parameter identification; inverse problem; optimization

Software:

Genocop; HE-E1GODF
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Full Text: DOI Link

References:

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