Resilience of Critical Infrastructure Systems: A Systematic Literature Review of Measurement Frameworks

Infrastructures, Journal Year: 2022, Volume and Issue: 7(5), P. 67 - 67

Published: May 2, 2022

Critical infrastructures such as transportation, power, telecommunication, water supply, and hospitals play a vital role in effectively managing post-disaster responses. The resilience of critical should be incorporated the planning designing phase based on risk assessment particular geographic area. However, framework to assess infrastructure (CIR) is variably conceptualised. Therefore, objective this study was critically appraise existing CIR frameworks developed since adoption Sendai Framework 2015 with hazard focus earthquakes. preferred reporting items for systematic reviews meta-analyses (PRISMA) method used selection 24 most relevant studies, these were analysed delineate frameworks, models, concepts. found that there are wide-ranging disparities among resilience, it has become key challenge prioritise resilience-based investment sector. Furthermore, attributes performance indicators, emergency aspects, damage need considered different disaster phases—ex-ante, during, ex-post—to improve long-term infrastructure. Subsequently, an integrated adaptable proposed proper decision making.

Language: Английский

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A graph convolution network‐deep reinforcement learning model for resilient water distribution network repair decisions

Computer-Aided Civil and Infrastructure Engineering, Journal Year: 2022, Volume and Issue: 37(12), P. 1547 - 1565

Published: Jan. 19, 2022

Abstract Water distribution networks (WDNs) are critical infrastructure for communities. The dramatic expansion of the WDNs associated with urbanization makes them more vulnerable to high‐consequence hazards such as earthquakes, which requires strategies ensure their resilience. resilience a WDN is related its ability recover service after disastrous events. Sound decisions on repair sequence play crucial role resilient recovery. This paper introduces development graph convolutional neural network‐integrated deep reinforcement learning (GCN‐DRL) model support optimal improve earthquakes. A evaluation framework first developed, integrates dynamic evolution performance indicators during post‐earthquake recovery process. indicator considers relative importance nodes and extent water needs that satisfied. In this GCN‐DRL framework, GCN encodes information WDN. topology (i.e., degree satisfaction) inputs GCN; outputs reward values (Q‐values) corresponding each action, fed into DRL process select from large action space achieve highest system demonstrated testbed subjected three earthquake damage scenarios. by compared those four conventional decision methods. results show achieved index fastest performance. Besides, using transfer based pre‐trained model, high computational efficiency in determining sequences under new novel features robustness universality damages.

Language: Английский

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Seismic Fragility in Life Cycle Cost Analysis for Gas Pipelines: Design and Cost Optimization Framework

Journal of Pipeline Science and Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 100299 - 100299

Published: May 1, 2025

Language: Английский

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Physics-based repair rate curves for segmented pipelines subject to seismic excitations

Sustainable and Resilient Infrastructure, Journal Year: 2022, Volume and Issue: 8(1), P. 121 - 141

Published: Jan. 30, 2022

Current approaches to assess the reliability and resilience of water infrastructure subject seismic hazard typically use Repair Rate (RR) curves for linear elements (pipelines), which estimate expected number repairs needed per unit length after occurrence an earthquake a given intensity. The available RR are characterized by high levels uncertainty being based primarily on expert judgment limited data. Also, they provide no distinction between damage segments joints. This paper develops probabilistic physics-based quantify segmented pipelines due earthquakes. First, mechanical model is proposed. then used generate set synthetic data calibration parameters. We compare proposed with ones in literature discuss advantages model.

Language: Английский

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An analytical approach to evaluate life-cycle cost of deteriorating pipelines

Reliability Engineering & System Safety, Journal Year: 2024, Volume and Issue: 250, P. 110287 - 110287

Published: June 16, 2024

Language: Английский

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Flexural behaviour of reinforced concrete beams repaired using a hybrid scheme with stainless steel rebars and CFRP sheets

Construction and Building Materials, Journal Year: 2020, Volume and Issue: 265, P. 120296 - 120296

Published: Aug. 27, 2020

Language: Английский

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A novel framework to study community-level social and physical impacts of hurricane-induced winds through synthetic scenario analysis

Frontiers in Built Environment, Journal Year: 2023, Volume and Issue: 9

Published: Feb. 16, 2023

Strong hurricane winds often cause severe infrastructure damage and pose social economic consequences in coastal communities. In the context of community resilience planning, estimating such impacts can facilitate developing more risk-informed mitigation plans interest. This study presents a new framework for synthetically simulating scenario-hurricane using parametric wind field model predicting community-level building damage, direct loss, consequences. The proposed synthetic scenario approach uses historical data adjusts its original trajectory to create change scenarios estimates peak gust speed at location each building. this research, stochastic simulation algorithm is applied assess buildings’ physical damage. assigns level corresponding damage-based fragility functions, predicted maximum building’s location, randomly generated number. monetary loss inventory due determined FEMA’s ratios replacement costs considering uncertainty. To exposure, three likely post-disaster disruptions are measured, including household dislocation, employment disruption, school closures. demonstrated by application hurricane-prone Onslow County, North Carolina. novel contribution developed framework, aside from introduced spatial hurricane-induced hazards, ability illuminate some aspects substantial damages winds. These advancements enable planners decision-makers make decisions improving resilience.

Language: Английский

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Post-disaster sequential recovery planning for water distribution systems using topological and hydraulic metrics

Structure and Infrastructure Engineering, Journal Year: 2021, Volume and Issue: 18(5), P. 728 - 743

Published: Jan. 11, 2021

Multiple pipeline failures in water distribution systems (WDS) caused by natural hazards such as earthquakes can significantly reduce the functionality of systems. After a disaster, quick recovery WDS is desirable to ensure that critical facilities have access clean water. However, experience from recent disasters has shown period for be long. The depends on various factors, available resources, budget, etc. As such, all failed pipelines cannot repaired at same time. Hence, utilities need prioritise damaged and perform repair way optimised. Post-event system gain may vary depending choice sequential paths. Unlike other infrastructures, not only dependent topological integrity but also hydraulic performance. In this study, post-disaster planning model proposed. restoration process modelled terms efficiency, resilience availability. optimal sequence determined based effectiveness estimated area under each curves. proposed method illustrated moderate size WDS.

Language: Английский

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Topology-Based Resilience Metrics for Seismic Performance Evaluation and Recovery Analysis of Water Distribution Systems

Journal of Pipeline Systems Engineering and Practice, Journal Year: 2022, Volume and Issue: 14(1)

Published: Nov. 26, 2022

Water distribution systems (WDSs) need to be resilient against seismic hazards ensure rapid recovery of the community following an earthquake. Topology-based resilience metrics are often used determine system-level performance WDSs. However, existing topology-based unable estimate WDSs accurately because they do not account for vulnerability pipelines in metrics. This study tailored topological metric and developed a new edge-betweenness-based evaluating complex water network. System-level is compared using four measures including minimum cut set (MCS)–based system reliability, (TRM), modified TRM, newly TRM. These were applied (i.e., Anytown, New York Tunnel, Jilin, Bellingham WDSs) with unique characteristics validate their effectiveness estimating hazards. The outcomes these applications show that proposed TRM can pipelines’ functionality after earthquake acceptable accuracy approaches. While analysis provides information about functionality, it also vital optimal sequence damaged maximize during process. Therefore, easy-to-use strategy based on repair index. was tested procedure Anytown WDS due earthquake, restored quickest strategy.

Language: Английский

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Functionality analysis of an urban water supply network after strong earthquakes

Earthquake Engineering and Engineering Vibration, Journal Year: 2021, Volume and Issue: 20(2), P. 291 - 302

Published: April 1, 2021

Language: Английский

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