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Research Papers

Infrastructure Decay Modeling With the Input-Output Inoperability Model

[+] Author and Article Information
Vhance V. Valencia

Assistant Professor Department of Systems Engineering and Management,
Air Force Institute of Technology,
2950 Hobson Way, Wright-Patterson Air Force, Base, OH 45433-7765
e-mail: vhance.valencia@afit.edu

Alfred E. Thal, Jr.

Associate Professor Department of Systems Engineering and Management,
Air Force Institute of Technology,
2950 Hobson Way, Wright-Patterson Air Force, Base, OH 45433-7765
e-mail: alfred.thal@afit.edu

John M. Colombi

Associate Professor Department of Systems Engineering and Management,
Air Force Institute of Technology,
2950 Hobson Way, Wright-Patterson Air Force, Base, OH 45433-7765
e-mail: john.colombi@afit.edu

William E. Sitzabee

Facilities Services, Office of the Provost,
Cornell University, 300 Day Hall,
Ithaca, NY 14853-2801e-mail: wes228@cornell.edu

Manuscript received September 26, 2014; final manuscript received December 4, 2014; published online February 27, 2015. Assoc. Editor: Bilal M. Ayyub.

ASME J. Risk Uncertainty Part B 1(1), 011006 (Feb 27, 2015) (7 pages) Paper No: RISK-14-1061; doi: 10.1115/1.4029314 History: Received September 26, 2014; Accepted December 09, 2014; Online February 27, 2015

Asset management and infrastructure interdependency concepts are found to be useful in the study of infrastructure decay. As such, infrastructure decay is modeled with the input-output inoperability model (IIM), which is a method of analysis that captures cascading effects of a disturbance in interdependent infrastructure systems. This paper presents an extension to the IIM that simplifies the construction of the interdependency matrix central to the model and integrates the use of component decay curves for each component in the system. The revised model results in the ability of infrastructure asset managers to recognize the effect of decay across an entire infrastructure network or multiple networks.

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References

Figures

Grahic Jump Location
Fig. 3

Bar graph of critical nodes from deterministic IIM

Grahic Jump Location
Fig. 1

Illustrative six-node network of two infrastructures

Grahic Jump Location
Fig. 2

Simulation results from modified IIM

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