Functional dependencies modelling for aircraft level risk analysis

Our work links three domains: safety, functional analysis and model based engineering. In orderto assist preliminary risk analysis, we have proposed to exploit models developed for functionalanalysis. These models describe dependencies between functions that have to be performed duringa flight phase. To exploit these models, we have introduced the notion of efficiency thatmeasures the degree of contribution of a function to the nominal realisation of a flight phase.This notion is useful for risk analysis because it enables the formalisation of various cases offunction failures and the evaluation of the level of degradation of a flight phase in case offunction failures. We have proposed to annotate functional analysis models with informationrelated with function efficiency and potential function failures. Following the principles of modeltransformation, we have studied the means to produce as automatically as possible models thatcould be used to support risk analysis starting from annotated models. Produced models aredescribed with the AltaRica language, they can be analysed with the tools associated with thislanguage in order to evaluate the effect of function failures or to search for the most criticalcombinations of failures. The approach was applied in order to analyse the risks associated withthe functions used during an aircraft take-off.

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Source https://theses.hal.science/tel-00954467
Author Maîtrehenry, Sébastien, Maîtrehenry
Maintainer CCSD
Last Updated May 6, 2026, 04:16 (UTC)
Created May 6, 2026, 04:16 (UTC)
Identifier NNT: 2013ESMA0025
Language fr
Rights https://about.hal.science/hal-authorisation-v1/
contributor Institut Pprime [UPR 3346] (PPrime [Poitiers]) ; Université de Poitiers = University of Poitiers (UP)-École Nationale Supérieure de Mécanique et d’Aérotechnique [Poitiers] (ISAE-ENSMA)-Centre National de la Recherche Scientifique (CNRS)
creator Maîtrehenry, Sébastien, Maîtrehenry
date 2013-10-04T00:00:00
harvest_object_id 7e8a9717-21fc-41aa-a57a-83fb3728a50c
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-03-31T00:00:00
set_spec type:THESE