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

Research output: Contribution to journalArticleScientificpeer-review

Researchers

Research units

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

Abstract

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.

Details

Original languageEnglish
Article number104243
Number of pages5
JournalData in Brief
Volume25
Publication statusE-pub ahead of print - 2019
MoE publication typeA1 Journal article-refereed

ID: 35389072