13.07.2015 Views

Assistance au calage de modèles numériques en hydraulique ... - TEL

Assistance au calage de modèles numériques en hydraulique ... - TEL

Assistance au calage de modèles numériques en hydraulique ... - TEL

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EXTENDED ABSTRACTThis work, linking knowledge managem<strong>en</strong>t and river hydr<strong>au</strong>lics areas, led to severaladvances in both domains. From the knowledge <strong>en</strong>gineering si<strong>de</strong>, both a g<strong>en</strong>eric ontologyfor mo<strong>de</strong>l calibration and a paradigm for the corresponding task were <strong>de</strong>terminedon the basis of experts’ knowledge. Six main steps were i<strong>de</strong>ntified in the calibration task:data allocation, parameter <strong>de</strong>finition, parameter initialisation, simulation run, outputscomparison, parameter adjustm<strong>en</strong>t and calibrated mo<strong>de</strong>l <strong>de</strong>scription. From the riverhydr<strong>au</strong>lics si<strong>de</strong>, knowledge mo<strong>de</strong>lling allowed to capitalize the expertise involved in 1-Dhydr<strong>au</strong>lic mo<strong>de</strong>l calibration –which is a first step towards good calibration practice– butalso to formalize the knowledge about the skilled use of the MAGE simulation co<strong>de</strong>.Finally, the operationalisation of this knowledge led to an evolutive prototype supportsystem for calibration of river hydr<strong>au</strong>lics mo<strong>de</strong>ls. Reusability of the differ<strong>en</strong>t levels ofthe implem<strong>en</strong>ted knowledge base op<strong>en</strong>s many prospects concerning the building ofoperational validation support systems, in 1-D hydr<strong>au</strong>lics but also in other domainslike hydrology, for physically-based distributed mo<strong>de</strong>ls.xvi

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