A resilience glossary shaped by context: Reviewing resilience-related terms for critical infrastructures

Mentges, Andrea; Halekotte, Lukas; Schneider, M; Demmer, Tobias; Lichte, Daniel

doi:10.1016/j.ijdrr.2023.103893

Cited by 17 publications

References 191 publications

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Exploring key safety terminology through simulation: Definitions and practical insights

Badrnoebashar,

Klose,

Lorenz

et al. 2024

Process Safety Progress

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Designing the process control of a system is a complex task that often involves different people. A uniform understanding of the terminology is necessary for the successful, resource‐saving implementation of the design. Therefore, this research aims at the definition and clarification of the key safety‐related concepts, including robustness, flexibility, sensitivity, fault tolerance, resilience, and nonfragile control. We first examine the definitions in academic literature and then analyze their differences. We utilize process engineering simulation examples to provide an in‐depth understanding of these distinctions. The significance of identifying and understanding the differences between these terms stems from their capacity to facilitate professional communication. Moreover, it makes it easier to deal with potential problems that might arise in real‐world scenarios.

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Exploring key safety terminology through simulation: Definitions and practical insights

Badrnoebashar,

Klose,

Lorenz

et al. 2024

Process Safety Progress

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The State of Climate Resilience in Rural Communities in Southern Africa: Case Study of Dryland Regions of Zimbabwe

Mubvuma,

Chapungu,

Chikodzi

2024

Sustainable Development Goals Series

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

Stolz,

Tang,

Fischer

et al. 2024

Environ Syst Decis

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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.

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A resilience glossary shaped by context: Reviewing resilience-related terms for critical infrastructures

Cited by 17 publications

References 191 publications

Exploring key safety terminology through simulation: Definitions and practical insights

Exploring key safety terminology through simulation: Definitions and practical insights

The State of Climate Resilience in Rural Communities in Southern Africa: Case Study of Dryland Regions of Zimbabwe

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

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