A Dynamic and Integrated Approach for Modeling and Managing Domino-effects (DIAMOND)

Doctoral thesis (2021)

Authors

C. Chen Safety and Security Science - TPM
Research Group
Safety and Security Science (TPM) (TU Delft)
Copyright: © 2021 C. Chen
DOI: https://doi.org/10.4233/uuid:38a95ca3-6986-4723-8231-2c0bb11c12fc
Security Resilience Fire Process industry Domino effect Dynamic risk assessment Integrated safety and security Vapor cloud explosion Toxic release Safety economics Dynamic graphs Monte Carlo (MC) Dynamic event tree
More Info
expand_more

Published Date

2021

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Faculty

Technology, Policy and Management

Department

Values Technology and Innovation

Research Group

Safety and Security Science

Abstract

Process and chemical industrial areas consist of hundreds and even thousands of installations situated next to each other, where quantities of hazardous (e.g., flammable, explosive, toxic) substances are stored, transported, or processed. These installations are mutually linked in terms of the hazard level they pose to each other in the system. As a result, a primary undesired disruption (e.g., an accidental event, intentional attack, or natural disaster) may escalate to nearby installations, triggering a chain of accidents. This phenomenon is well known as the potential for “knock-on effects” or so-called “domino effects”. This dissertation is devoted to modeling the spatial-temporal evolution of domino effects, preventing the escalation, mitigating the consequences, thereby developing a safer, securer, and more resilient chemical industrial area.