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This repo consists of the codes used for a paper titled ''DISFUNCTIONALITY HAZARD: A RISK-BASED TOOL TO SUPPORT THE RESILIENT DESIGN OF SYSTEMS SUBJECTED TO SINGLE HAZARDS AND MULTIHAZARDS.''

Overview of the paper

This paper proposes a novel resilience metric termed Disfunctionality hazard for supporting resilience-based decision making of systems subjected to hazards. Disfunctionality hazard maps a system's functionality recovery curves to a risk space that is similar to the performance-based engineering framework. Specifically, Disfunctionality hazard is defined as the frequency of exceedance of a time to full recovery. It is mathematically defined as:

where, is the time to full recovery, is the conditional probability of exceedance of a time to full recovery, and is the hazard intensity measure. The above definition of the Disfunctionality hazard applies to the case of a system subjected to a single hazard. It can, however, be extended to the case of multihazards with temporal interdependencies. More discussion is provided in the paper. The figure below presents the Disfunctionality hazard. To summarize, Disfunctionality hazard is a resilience-based decision making tool that maps standard recovery curves from the functionality space to the risk space, while considering all possible realizations of the hazards intensities and their temporal interdependencies. The figure below presents a schematic of the procedure for computing the disfunctionality hazard.

Figure: Schematic of the procedure for computing the disfunctionality hazard

Description of the code

In this repo, MATLAB codes are provided to:

  • Simulate system functionality recovery curves using Markov-type processes for three functionality states under single hazards.
  • Simulate functionality recovery curves for multihazards with temporal interdependencies.
  • Convert functionality recovery curves to the Disfunctionality hazard.

Repo contents

References

[1] Dhulipala, S. L. N. & Flint, M. M. (2020). Series of semi-Markov processes to model infrastructure resilience under multihazards. Reliability Engineering & System Safety, 193, 106659.

[2] Dhulipala, S. L. N., Burton, H. V. & Baroud, H. (2020). A Markov framework for generalized post-event systems recovery modeling: From single to multihazards. [Under review].