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CALIBRATION OF A SEDIMENTATION MODEL THROUGH A CONTINUOUS GENETIC ALGORITHM

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dc.creatorANÍBAL CORONEL PÉREZ
dc.date2019
dc.date.accessioned2025-01-10T15:12:16Z
dc.date.available2025-01-10T15:12:16Z
dc.date.issued2019
dc.description.abstractIN 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.
dc.formatapplication/pdf
dc.identifier.doi10.1080/17415977.2018.1508289
dc.identifier.issn1741-5985
dc.identifier.issn1741-5977
dc.identifier.urihttps://repositorio.ubiobio.cl/handle/123456789/10908
dc.languagespa
dc.publisherINVERSE PROBLEMS IN SCIENCE AND ENGINEERING
dc.relation.uri10.1080/17415977.2018.1508289
dc.rightsPUBLICADA
dc.titleCALIBRATION OF A SEDIMENTATION MODEL THROUGH A CONTINUOUS GENETIC ALGORITHM
dc.title.alternativeCALIBRACIÓN DE UN MODELO DE SEDIMENTACIÓN A TRAVÉS DE UN ALGORITMO GENÉTICO CONTINUO
dc.typeARTÍCULO
dspace.entity.typePublication
ubb.EstadoPUBLICADA
ubb.Otra ReparticionDEPARTAMENTO DE CIENCIAS BASICAS
ubb.SedeCHILLÁN
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