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A rheological model analog for assessing the resilience of socio-technical systems across sectors

Author

Listed:
  • Alexander Stolz

    (Fraunhofer-Institute for High-Speed Dynamics, Ernst-Mach-Institut, EMI
    University of Freiburg)

  • Jet Hoe Tang

    (Fraunhofer-Institute for High-Speed Dynamics, Ernst-Mach-Institut, EMI)

  • Stefan G. Fischer

    (Fraunhofer-Institute for High-Speed Dynamics, Ernst-Mach-Institut, EMI
    University of Freiburg)

  • Kai Fischer

    (Fraunhofer-Institute for High-Speed Dynamics, Ernst-Mach-Institut, EMI)

Abstract

A rheological model is proposed that captures the performance loss and properties of a potential subsequent recovery of socio-technical systems subject to arbitrary disruptions. The model facilitates the quantitative assessment of such systems’ resilience. While most models known from the literature describe systems that fully recover from aforementioned load events, the proposed model can capture also permanent performance loss or post disruption improvement. To demonstrate the versatility of the approach for a wide range of the socio-technical system spectrum, the model is applied to three systems: the frequency stability of the continental Europe power grid, flight operations of German airports, and the revenue of the German gastronomic sector. Fitting the proposed two-spring, one-damper, single-degree-of-freedom model to the recorded performance data determines relevant parameters which serve as a quantitative measure of the respective system’s resilience. The small set of model parameters can be associated with relevant resilience dimensions. Variation of these parameters allows to quantitively determine the change of the model’s response to the load events, and thus of the resilience predicted by the model. This allows to identify parameter ranges in which the model predicts, e.g., full recovery of a system, instead of permanent performance loss.

Suggested Citation

  • Alexander Stolz & Jet Hoe Tang & Stefan G. Fischer & Kai Fischer, 2024. "A rheological model analog for assessing the resilience of socio-technical systems across sectors," Environment Systems and Decisions, Springer, vol. 44(4), pages 922-945, December.
    • Handle: RePEc:spr:envsyd:v:44:y:2024:i:4:d:10.1007_s10669-024-09983-w
    DOI: 10.1007/s10669-024-09983-w
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    References listed on IDEAS

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    1. Adrian J. Hickford & Simon P. Blainey & Alejandro Ortega Hortelano & Raghav Pant, 2018. "Resilience engineering: theory and practice in interdependent infrastructure systems," Environment Systems and Decisions, Springer, vol. 38(3), pages 278-291, September.
    2. Stanley Kaplan & B. John Garrick, 1981. "On The Quantitative Definition of Risk," Risk Analysis, John Wiley & Sons, vol. 1(1), pages 11-27, March.
    3. Sergey V. Buldyrev & Roni Parshani & Gerald Paul & H. Eugene Stanley & Shlomo Havlin, 2010. "Catastrophic cascade of failures in interdependent networks," Nature, Nature, vol. 464(7291), pages 1025-1028, April.
    4. Wu, Chengxing & Duan, Dongli & Xiao, Renbin, 2023. "A novel dimension reduction method with information entropy to evaluate network resilience," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 620(C).
    5. Galbusera, Luca & Trucco, Paolo & Giannopoulos, Georgios, 2020. "Modeling interdependencies in multi-sectoral critical infrastructure systems: Evolving the DMCI approach," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    6. Elizabeth B. Connelly & Craig R. Allen & Kirk Hatfield & José M. Palma-Oliveira & David D. Woods & Igor Linkov, 2017. "Features of resilience," Environment Systems and Decisions, Springer, vol. 37(1), pages 46-50, March.
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