Volume 25 Issue 6
Dec.  2025
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WEN Jia-nian, WEI Li-yan, ZHANG Wang-xin, HAN Qiang. A post-earthquake repair decision method for bridges in regional road networks considering power facility failures[J]. Journal of Traffic and Transportation Engineering, 2025, 25(6): 61-74. doi: 10.19818/j.cnki.1671-1637.2025.06.006
Citation: WEN Jia-nian, WEI Li-yan, ZHANG Wang-xin, HAN Qiang. A post-earthquake repair decision method for bridges in regional road networks considering power facility failures[J]. Journal of Traffic and Transportation Engineering, 2025, 25(6): 61-74. doi: 10.19818/j.cnki.1671-1637.2025.06.006
shu

A post-earthquake repair decision method for bridges in regional road networks considering power facility failures

doi: 10.19818/j.cnki.1671-1637.2025.06.006

  • State Key Laboratory of Bridge Safety and Resilience, Beijing University of Technology, Beijing 100124, China

Funds:

National Natural Science Foundation of China U24A20175

National Natural Science Foundation of China 52338010

National Natural Science Foundation of China 52494963

More Information
  • Corresponding author: WEN Jia-nian (1990-), male, research fellow, PhD, wenjianian1990@163.com
  • Received Date: 2024-11-08
  • Accepted Date: 2025-06-16
  • Rev Recd Date: 2025-06-03
  • Publish Date: 2025-12-28
    Abstract
  • The post-earthquake repair decision-making of bridge groups in regional road networks under resource constraints was studied to mitigate the adverse effects of earthquake disasters on the operation of regional traffic systems and enhance the post-disaster recovery capabilities of road traffic infrastructure. A traffic performance analysis method for regional road networks was developed based on the travel cost function of road segments and the intersection control delay model, enabling the quantification of dynamic changes of traffic functions with infrastructure damage and repair processes. By incorporating two types of interdependency between infrastructure systems, a resilience assessment model for bridges in regional road networks that considers power infrastructure failures was built. By employing the joint repair sequence of bridges and power infrastructure as the optimization variable, a bi-level repair decision-making model was designed based on resilience-oriented criteria. Specifically, the upper level is formulated as an integer programming model for determining the optimal repair scheduling of both bridges and power infrastructure, while the lower level adopts a user equilibrium traffic assignment model to dynamically evaluate the influence of service state changes of bridges and power infrastructure on travel efficiency. The model's validity and application value were analyzed and verified by employing the transportation-power network of the Centerville virtual community as a case study. Analysis results demonstrate that the proposed repair decision-making method can effectively address the optimization problem of post-earthquake bridge repair under power infrastructure failures and multiple resource constraints, accurately reproducing the dynamic evolution of traffic functions. Compared to traditional baseline strategies, the near-optimal repair strategy significantly enhances both its network recovery efficiency and seismic resilience. Furthermore, the interdependency exerts a significant influence on repair sequence optimization, and neglecting both functional and repair dependency results in the overestimation of regional traffic performance and seismic resilience. The findings can provide scientific reference for post-earthquake repair decision-making and seismic resilience enhancement of regional traffic infrastructure.

     

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    • References(44)
  • [1]
    ZHONG Jian, WANG Hao, ZHU Xiao-jie. Sensitivity analysis on seismic spatial variability parameters subjected to differential support motions[J]. Journal of Southeast University (Natural Science Edition), 2024, 54(6): 1377-1385.
    [2]
    ZHONG J, ZHOU S E, WANG H, et al. Regional seismic fragility of bridge network derived by covariance matrix model of bridge portfolios[J]. Engineering Structures, 2024, 309: 118035. doi: 10.1016/j.engstruct.2024.118035
    [3]
    CHANG L, ELNASHAI A S, SPENCER B F. Post-earthquake modelling of transportation networks[J]. Structure and Infrastructure Engineering, 2012, 8(10): 893-911.
    [4]
    HAN Q, DU X L, LIU J B, et al. Seismic damage of high-way bridges during the 2008 Wenchuan Earthquake[J]. Earthquake Engineering and Engineering Vibration, 2009, 8(2): 263-273. doi: 10.1007/s11803-009-8162-0
    [5]
    HOLLING C S. Resilience and stability of ecological systems[J]. Annual Review of Ecology and Systematics, 1973, 4: 1-23. doi: 10.1146/annurev.es.04.110173.000245
    [6]
    BRUNEAU M, CHANG S E, EGUCHI R T, et al. A framework to quantitatively assess and enhance the seismic resilience of communities[J]. Earthquake Spectra, 2003, 19(4): 733-752. doi: 10.1193/1.1623497
    [7]
    ALIPOUR A, SHAFEI B. Seismic resilience of transporta-tion networks with deteriorating components[J]. Journal of Structural Engineering, 2016, 142(8): C4015015. doi: 10.1061/(ASCE)ST.1943-541X.0001399
    [8]
    JIA Jun-feng, WEI Bo, DU Xiu-li, et al. Research progress of seismic resilient girder bridges at home and abroad from WCEE[J]. Journal of Traffic and Transportation Engi-neering, 2022, 22(6): 25-45. doi: 10.19818/j.cnki.1671-1637.2022.06.002
    [9]
    ZHANG Wang-xin, HAN Qiang, WEN Jia-nian, et al. A decision framework for improving bridge network resilience based on earthquake disaster management[J]. China Civil Engineering Journal, 2023, 56(4): 72-82.
    [10]
    CHEN L C, MILLER-HOOKS E. Resilience: An indicator of recovery capability in intermodal freight transport[J]. Transportation Science, 2011, 46(1): 109-123.
    [11]
    ZHAI Chang-hai, YUE Qing-rui, XIE Li-li. Evaluation and construction of seismic resilient cities[J]. Journal of Building Structures, 2024, 45(5): 1-13.
    [12]
    MAO Xin-hua, WANG Jian-wei, YUAN Chang-wei, et al. Restoration scheduling for post-disaster road networks based on resilience optimization[J]. China Journal of Highway and Transport, 2022, 35(6): 289-298.
    [13]
    LU Qing-chang, LIU Peng, XU Biao, et al. Resilience-based protection decision optimization for metro network under operational incidents[J]. Journal of Traffic and Transpor-tation Engineering, 2023, 23(3): 209-220. doi: 10.19818/j.cnki.1671-1637.2023.03.016
    [14]
    KAVIANI A, THOMPSON R G, RAJABIFARD A, et al. A model for multi-class road network recovery scheduling of regional road networks[J]. Transportation, 2020, 47(1): 109-143. doi: 10.1007/s11116-017-9852-5
    [15]
    MERSCHMAN E, DOUSTMOHAMMADI M, SALMAN A M, et al. Postdisaster decision framework for bridge repair prioritization to improve road network resilience[J]. Trans-portation Research Record: Journal of the Transportation Research Board, 2020(2674): 81-92.
    [16]
    SOMY S, SHAFAEI R, RAMEZANIAN R. Resilience-based mathematical model to restore disrupted road-bridge trans-portation networks[J]. Structure and Infrastructure Engi-neering, 2022, 18(9): 1334-1349. doi: 10.1080/15732479.2021.1906711
    [17]
    KARAMLOU A, BOCCHINI P. Sequencing algorithm with multiple-input genetic operators: Application to disaster resilience[J]. Engineering Structures, 2016, 117: 591-602. doi: 10.1016/j.engstruct.2016.03.038
    [18]
    LIU K Z, ZHAI C H, DONG Y. Optimal restoration schedules of transportation network considering resilience[J]. Structure and Infrastructure Engineering, 2021, 17(8): 1141-1154. doi: 10.1080/15732479.2020.1801764
    [19]
    ZHANG W X, DONG H H, WEN J N, et al. A resilience-based decision framework for post-earthquake restoration of bridge networks under uncertainty[J]. Structure and Infrastructure Engineering, 2025, 21(2): 341-356. doi: 10.1080/15732479.2023.2218838
    [20]
    SUN L, STOJADINOVIC B, SANSAVINI G. Resilience evaluation framework for integrated civil infrastructure-community systems under seismic hazard[J]. Journal of Infrastructure Systems, 2019, 25(2): 04019016. doi: 10.1061/(ASCE)IS.1943-555X.0000492
    [21]
    FOTOUHI H, MORYADEE S, MILLER-HOOKS E. Quanti-fying the resilience of an urban traffic-electric power coupled system[J]. Reliability Engineering & System Safety, 2017, 163: 79-94.
    [22]
    ZOU Q L, CHEN S R. Resilience modeling of interdependent traffic-electric power system subject to hurricanes[J]. Journal of Infrastructure Systems, 2020, 26: 04019034. doi: 10.1061/(ASCE)IS.1943-555X.0000524
    [23]
    ZOU Q L, CHEN S R. Enhancing resilience of interdepen-dent traffic-electric power system[J]. Reliability Engineering & System Safety, 2019, 191: 106557.
    [24]
    LIU Z L, LI S C, ZHAO W G, et al. Post-earthquake assessment model for highway bridge networks considering traffic congestion due to earthquake-induced bridge damage[J]. Engineering Structures, 2022, 262: 114395. doi: 10.1016/j.engstruct.2022.114395
    [25]
    ZHAO T Y, SUN L. Seismic resilience assessment of critical infrastructure-community systems considering looped interde-pendences[J]. International Journal of Disaster Risk Reduc-tion, 2021, 59: 102246. doi: 10.1016/j.ijdrr.2021.102246
    [26]
    DUAN D L, LV C C, SI S B, et al. Universal behavior of cascading failures in interdependent networks[J]. Proceedings of the National Academy of Sciences of the United States of America, 2019, 116(45): 22452-22457.
    [27]
    BOCCHINI P, FRANGOPOL D M. Restoration of bridge networks after an earthquake: Multicriteria intervention optimization[J]. Earthquake Spectra, 2012, 28(2): 427-455. doi: 10.1193/1.4000019
    [28]
    WARDROP J G. Road paper. Some theoretical aspects of road traffic research[J]. Proceedings of the Institution of Civil Engineers, 1952, 1(3): 325-362. doi: 10.1680/ipeds.1952.11259
    [29]
    MARTIN W A, MCGUCKIN N A. Travel estimation techniques for urban planning[M]. Washington DC: National Academy Press, 1998.
    [30]
    FHWA. Highway capacity manual[M]. Washington DC: FHWA, 2000.
    [31]
    LIU Y, WOTHERSPOON L, NAIR N C, et al. Quantifying the seismic risk for electric power distribution systems[J]. Structure and Infrastructure Engineering, 2021, 17(2): 217-232. doi: 10.1080/15732479.2020.1734030
    [32]
    CARDONI A, CIMELLARO G P, DOMANESCHI M, et al. Modeling the interdependency between buildings and the electrical distribution system for seismic resilience assessment[J]. International Journal of Disaster Risk Reduction, 2020, 42: 101315. doi: 10.1016/j.ijdrr.2019.101315
    [33]
    OUYANG M, DUEÑAS-OSORIO L. An approach to design interface topologies across interdependent urban infrastructure systems[J]. Reliability Engineering & System Safety, 2011, 96(11): 1462-1473.
    [34]
    WU B C, TANG A P, WU J. Modeling cascading failures in interdependent infrastructures under terrorist attacks[J]. Reliability Engineering & System Safety, 2016, 147: 1-8.
    [35]
    WANG F, MAGOUA J J, LI N, et al. Assessing the impact of systemic heterogeneity on failure propagation across interdependent critical infrastructure systems[J]. Inter-national Journal of Disaster Risk Reduction, 2020, 50: 101818. doi: 10.1016/j.ijdrr.2020.101818
    [36]
    LI Z L, JIN C, HU P, et al. Resilience-based transportation network recovery strategy during emergency recovery phase under uncertainty[J]. Reliability Engineering & System Safety, 2019, 188: 503-514.
    [37]
    GUO A X, LIU Z L, LI S C, et al. Seismic performance assessment of highway bridge networks considering post-disaster traffic demand of a transportation system in emergency conditions[J]. Structure and Infrastructure Engi-neering, 2017, 13(12): 1523-1537. doi: 10.1080/15732479.2017.1299770
    [38]
    XU M, OUYANG M, MAO Z J, et al. Improving repair sequence scheduling methods for postdisaster critical infrastructure systems[J]. Computer-aided Civil and Infrastructure Engineering, 2019, 34(6): 506-522. doi: 10.1111/mice.12435
    [39]
    CIMELLARO G P, REINHORN A M, BRUNEAU M. Framework for analytical quantification of disaster resilience[J]. Engineering Structures, 2010, 32(11): 3639-3649. doi: 10.1016/j.engstruct.2010.08.008
    [40]
    FRANK M, WOLFE P. An algorithm for quadratic programming [J]. Naval Research Logistics Quarterly, 1956, 3(1/2): 95-110.
    [41]
    ELLINGWOOD B R, CUTLER H, GARDONI P, et al. The centerville virtual community: A fully integrated decision model of interacting physical and social infrastructure systems[J]. Sustainable and Resilient Infrastructure, 2016, 1(3/4): 95-107.
    [42]
    WU Y Y, HOU G Y, CHEN S R. Post-earthquake resilience assessment and long-term restoration prioritization of trans-portation network[J]. Reliability Engineering & System Safety, 2021, 211: 107612.
    [43]
    ZHANG W L, WANG N Y, NICHOLSON C. Resilience-based post-disaster recovery strategies for road-bridge networks[J]. Structure and Infrastructure Engineering, 2017, 13(11): 1404-1413. doi: 10.1080/15732479.2016.1271813
    [44]
    ZHANG W X, HAN Q, SHANG W L, et al. Seismic resilience assessment of interdependent urban transportation-electric power system under uncertainty[J]. Transportation Research Part A: Policy and Practice, 2024, 183: 104078. doi: 10.1016/j.tra.2024.104078
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