Generating Synthetic Systems of Interdependent Critical Infrastructure Networks

Wang, Yu; Yu, Jin-Zhu; Baroud, Hiba

doi:10.1109/jsyst.2021.3126308

Cited by 6 publications

(11 citation statements)

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“…Then, using an Integrated Urban Water Management Model by Sharvelle et al (2017) to estimate small-scale demand, Ahmad et al (2020) automated the hydrology design in EPAnet using the minimum spanning tree and looping algorithm inspired from Mair et al (2014), resulting in a model that realistically imitated the Phoenix Metro Region. More recently, a synthetic dynamic water flow framework was developed in a multi-infrastructure synthetic study by Wang et al (2022b). Instead of focusing on realistic network generation, they used existing synthetic networks to develop a methodology for dynamic flow throughout the water network and between the other networks.…”

Section: Synthetic Infrastructure Networkmentioning

confidence: 99%

“…As progress continues in developing realistic infrastructure models, researchers have begun to couple different infrastructure types together. Wang et al (2022b) combined synthetic power, water, and gas to investigate interdependent relationships during flow variations. As already mentioned, Yang et al (2019Yang et al ( , 2020b coupled stormwater and road transportation.…”

Section: Synthetic Infrastructure Networkmentioning

confidence: 99%

“…Moreover, in a later study, the same authors added variance to storm sewer component conditions for nuance and realistic behavior (Yang et al 2020b). Additionally, Wang et al (2022b) modeled dynamic exchanges of resources within and between natural gas, power, and water networks instead of static or binary interdependencies. Two studies created synthetic communication networks and paired them with synthetic power grids.…”

Section: Synthetic Infrastructure Networkmentioning

confidence: 99%

“…Some water models have been developed but are still emerging, and other infrastructure disciplines appear to be focused elsewhere. Synthetic network development for multiple infrastructure may aid interdependency modeling (Marcos et al 2017), and a few synthetic studies attempt to couple multiple infrastructure (Yang et al 2019, Yang et al 2020b, Wang et al 2022b. More work is needed to develop other infrastructure methodologies.…”

Section: Synthetic Infrastructure Networkmentioning

confidence: 99%

“…Because detailed data continues to challenge interdependency and cascading failure research (Ouyang 2014, Valdez et al 2020, SICFMs may provide the fine-scale analysis necessary to elucidate novel scenarios like black swans or aid in unearthing new solutions for wicked complex problems. Parenthetically, synthetic, and interdependent network models certainly provide research purposes beyond cascading failures (Wang et al 2022b). However, this paper is inspired by the lack of insight that infrastructure managers have toward extreme events and, thus, focuses on cascades.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Preparing infrastructure for surprise: fusing synthetic network, interdependency, and cascading failure models

Hoff

Chester

2023

Environ. Res.: Infrastruct. Sustain.

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Faced with destabilizing conditions in the Anthropocene, infrastructure resilience modeling remains challenged to confront increasingly complex conditions toward quickly and meaningfully advancing adaptation. Data gaps, increasingly interconnected systems, and accurate behavior estimation (across scales and as both gradual and cascading failure) remain challenges for infrastructure modelers. Yet novel approaches are emerging – largely independently – that, if brought together, offer significant opportunities for rapidly advancing how we understand vulnerabilities and surgically invest in resilience. Of particular promise are interdependency modeling, cascading failure modeling, and synthetic network generation. We describe a framework for integrating these three domains toward an integrated modeling framework to estimate infrastructure networks where no data exist, connect infrastructure to establish interdependencies, assess the vulnerabilities of these interconnected infrastructure to hazards, and simulate how failures may propagate across systems. We draw from the literature as an evidence base, provide a conceptual structure for implementation, and conclude by discussing the significance of such a framework and the critical tools it may provide to infrastructure researchers and managers.

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Section: Synthetic Infrastructure Networkmentioning

confidence: 99%

Section: Synthetic Infrastructure Networkmentioning

confidence: 99%

Section: Synthetic Infrastructure Networkmentioning

confidence: 99%

Section: Synthetic Infrastructure Networkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Preparing infrastructure for surprise: fusing synthetic network, interdependency, and cascading failure models

Hoff

Chester

2023

Environ. Res.: Infrastruct. Sustain.

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A simulation‐based generalized framework to model vulnerability of interdependent critical infrastructure systems under incomplete information

Ganguly

Mukherjee

2023

Computer aided Civil Eng

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This paper proposes a novel simulation‐based hybrid approach coupled with time‐dependent Bayesian network analysis to model multi‐infrastructure vulnerability over time under physical, spatial, and informational uncertainties while considering cascading failures within and across infrastructure networks. Unlike existing studies that unrealistically assume that infrastructure managers have full knowledge of all the infrastructure systems, the proposed approach considers a realistic scenario where complete information about the infrastructure network topology or the supply–demand flow characteristics is not available while estimating multi‐infrastructure vulnerability. A novel heuristic algorithm is proposed to construct a dynamic fault tree to abstract the network topology of any infrastructure. In addition, to account for the unavailability of exact supply–demand flow characteristics, the proposed approach constructs the interdependence links across infrastructure network systems using different simulated parameters considering the physical, logical, and geographical dependencies. Finally, using parameters for geographical proximity, infrastructure managers' risk perception, and the relative importance of one infrastructure on another, the multi‐infrastructure vulnerability over time is estimated. Results from the numerical experiment show that for an opportunistic risk perception, the interdependencies attribute to redundancies, and with an increase in redundancy, the vulnerability decreases. On the other hand, from a conservative risk perspective, the interdependencies attribute to deficiencies/liabilities, and the vulnerability increases with an increase in the number of such interdependencies.

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Generating network representations of small‐scale infrastructure using generally available data

Dunton,

Gardoni

2023

Computer aided Civil Eng

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Risk analysis (including resilience analysis) of infrastructure requires models that describe the connection of components and subsequent flow dynamics. However, the detailed information needed to define these models may not be available, especially for small‐scale infrastructure that connect to every building. In this paper, we generate location‐specific small‐scale networks using detailed data that should always be available. We propose a general framework where we generate the network topology, we estimate the resource demand at each building, and we design the network components to meet the demands. This general framework is applicable to all types of infrastructure, but many procedures are specific to the type of network being generated. This paper develops the necessary procedures to generate sewer networks and illustrates the usage for an example network in a small study area in Seaside, Oregon. The proposed sewer network generator produces realistic sewer networks as compared to the real network of Seaside.

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Generating Synthetic Systems of Interdependent Critical Infrastructure Networks

Cited by 6 publications

References 50 publications

Preparing infrastructure for surprise: fusing synthetic network, interdependency, and cascading failure models

Preparing infrastructure for surprise: fusing synthetic network, interdependency, and cascading failure models

A simulation‐based generalized framework to model vulnerability of interdependent critical infrastructure systems under incomplete information

Generating network representations of small‐scale infrastructure using generally available data

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