Resilience Evaluation Framework for Integrated Civil Infrastructure–Community Systems under Seismic Hazard

Abstract

Seismic resilience of civil infrastructure systems is an essential property of modern communities. In this paper, an agent-based modeling framework to evaluate the seismic resilience of an integrated system comprising the community and its civil infrastructure systems is proposed. Specifically, an agent-based model of the recovery process of civil infrastructure systems is incorporated into a previously developed compositional supply/demand seismic resilience quantification framework. The proposed model represents the behavior of the operators of civil infrastructure systems as they strive to recover their functionality in the aftermath of an earthquake as well as their mutual interactions and the interactions with the community they provide services to. A case study of the seismic resilience of a virtual system comprising the electric power supply system, the transportation system and the community (EPSS-TS-Community system) is conducted using the proposed framework. A parametric investigation is carried out to examine the effect of different earthquake magnitude scenarios as well as different behaviors of the involved agents and their interaction on the seismic resilience of the EPSS-TS-Community system. It was demonstrated that the proposed agent-based modeling approach is effective in representing the interactions among different participants in the recovery process. It was also revealed that timely and well-planned intervention in the recovery process can be very effective in alleviating the post-earthquake lack of resilience resulting from the insufficient supply of civil infrastructure service to meet the community demands. Therefore, the proposed framework could be employed to formulate the recovery trajectory of the intertwined sociotechnical system subjected to different earthquake scenarios. The interplay among different agents, as well as the interdependence between the civil infrastructure systems is found to profoundly shape the recovery path for this integrated EPSS-TS-Community system.

Resilience in Infrastructure Systems: A Comprehensive Review

“…For example, Levenberg et al [30] quantified and assessed the resilience of networked pavement infrastructure by modeling a set of possible network performance scenarios in a destructive meteorological scenario with a known probability of occurrence; each scenario was defined according to the severity and type of damage (climate or geology, operation, natural deterioration, and terrorism), as well as current weather conditions, temperature, precipitation, and visibility conditions. Sun, Stojadinovic, and Sansavini [31] put forward an agent-based modeling framework for the seismic resilience assessment of integrated civil infrastructure systems under the scenario of an earthquake. Barabadi et al [32] assessed the resilience of health infrastructure before and after COVID-19.…”

Seismic resilience assessment and improvement framework for electrical substations

“…v I (I [1,6]) and v O (O [39,50]) represent the node vectors consisting of all the source nodes for power input and all the load nodes for power output, respectively. Considering the power transmission capacity variation of different electrical bays in this case (Figure 6), the timevarying power input P I (t), power transform P T (t), and power output P O (t) of the substation in Equation ( 3) can be computed as the sum of the transmission capacity of different bays in the same functional part at time t, as presented by Equation (7). where the superscripts of the summation symbol indicate the total number of power input terminals, power transmission bays, and power output terminals respectively, as shown in Figure 6; TC T,i (MW) denotes the power transmission capacity of the i-th transformation bay and is equivalent to the product of the load capacity of the i-th transformer LC T,I (MVA) and the power factor Pf, which was assumed to be 1 for simplicity; TC I,i and TC O,i represent the transmission capacity of the double-circuits transmission line input from the i-th source terminals and output to the i-th load terminals, respectively.…”

“…Probability-based metrics (reliability or failure probability) of substation performance are often used in research focusing on large power system-scale analysis, 6,7 in which the substations are abstracted as single nodes with a binary-state assumption (work or fail). But such metrics cannot consider the redundancy of the substation since the failure of some equipment components will not necessarily break down the serviceability of a substation completely.…”

Resilience of Infrastructures and Systems to Multiple Hazardous Events: Application Cases and Future Perspectives

“…Frameworks and methods for the characterization of the resilience level of various types of Energy Infrastructures systems were proposed, such as for Nuclear Plants [36] and Hydrogen Systems [37]. Energy and Power Systems have been tested for their resilience capacity against various types of hazards such as hurricane [38], earthquake [39], or flooding [40]. In recent years, the resilience of the Energy Grids in the operational level [41], toward natural [42] or cyber [43] hazards, is being investigated thoroughly.…”