Development of a modeling method for assessing the performance of fire safety policies

Nowadays in France, building fire safety strategy performance analysis relies on a fire engineering study. This kind of study aims at calculating fire risk for several strategies and for fire scenarios judged as relevant. In order to achieve risk calculation, the French Scientific and technical Building Center (CSTB) has developed a simulation tool called SCHEMA-SI. This tool is based on object-oriented differential predicate-transition Petri nets and on Monte Carlo simulations and is built to generate a large number of fire scenarios. Obtained scenarios are hence used to evaluate fire risk related to the strategy to evaluate. The lower the fire risk is obtained, the more efficient the strategy is considered. This thesis aims at contributing to the development of a SCHEMA-SI based fire risk assessment method. This thesis starts by a definition of what this method should be. At this stage, it appears that one of the difficulties to overcome is the one of the problem definition by a group of fire safety concerned people. In order to solve this difficulty, a modeling method has been developed. This method, so-called ISI-Systema, relies on two main basements: - in on hand, on a graphic modeling language created to allow a group of people to think about the problem definition by using a systemic approach ; - on the other hand, on a SCHEMA-SI compatible Petri net - graphic model translation procedure. At last, a case study is proposed.

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Source https://theses.hal.science/tel-00680373
Author Muller, Anne
Maintainer CCSD
Last Updated May 24, 2026, 06:00 (UTC)
Created May 24, 2026, 06:00 (UTC)
Identifier tel-00680373
Language fr
Rights https://about.hal.science/hal-authorisation-v1/
contributor Laboratoire de Gestion des Risques et Environnement (GRE) ; Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))
creator Muller, Anne
date 2010-12-08T00:00:00
harvest_object_id 87d228e3-b02b-41d3-8557-ca609b28b513
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2023-05-26T00:00:00
set_spec type:THESE