Probabilistic model data of time-dependent accident scenarios for a mixing tank mechanical system

Tutkimustuotos: Lehtiartikkeli

Tutkijat

Organisaatiot

  • Polytechnic University of Milan
  • ComUE Paris-Saclay
  • CentraleSupélec
  • Aramis S.r.l.

Kuvaus

This article presents the risk assessment of a mixing tank mechanical system based on the failure probabilities of the components. Possible component failures can cause accidents which evolve over multiple time stages and can lead to system failure. The consequences of these accident scenarios are analyzed by quantifying the failure probabilities and severity of their outcomes. Illustrative costs and updated failure probabilities are provided to evaluate preventive safety measures. Data refers to the results of the Bayesian model presented in our research article.

Yksityiskohdat

AlkuperäiskieliEnglanti
Artikkeli104243
Sivumäärä5
JulkaisuData in Brief
Vuosikerta25
Varhainen verkossa julkaisun päivämäärä2019
TilaJulkaistu - elokuuta 2019
OKM-julkaisutyyppiA1 Julkaistu artikkeli, soviteltu

ID: 35389072