Resilience-based multi-objective optimization for determining the optimal sequence of bridge retrofit projects

Mehdi Dezfuli Nezhad; Reza Raoufi; Ahmad Dalvand

doi:10.7409/rabdim.022.017

Published: 2022-12-30

Vol. 21 No. 4 (2022)

Resilience-based multi-objective optimization for determining the optimal sequence of bridge retrofit projects

Mehdi Dezfuli Nezhad , Reza Raoufi , Ahmad Dalvand

Section: Articles

https://doi.org/10.7409/rabdim.022.017

Abstract

This study intends to provide a methodology for determination of the optimal sequence of bridge retrofit projects in the pre-disaster phase. A two-stage optimization model is proposed. In the first stage, single-objective optimization is used, and the weighted average number of reliable independent pathways (WIPW) is adopted as the measure of network resilience (MOR) to be maximized. In the second stage, multi-objective optimization is used, and two objective functions are introduced to be maximized: the measure of strategy implementation sequence (MOS) and the measure of strategy implementation time (MOT). The proposed methodology is illustrated using a hypothetical community road system. The results show that there is an inverse relationship between MOS and MOT. By considering these two new objectives in the process of pre-disaster risk mitigation planning, network owners can determine the trade-off between MOS and MOT and select a proper sequence of bridge retrofit projects based on predictability of the examined disruptive events.

Keywords:

bridge retrofitting, multi-objective optimization, optimal sequence, resilience of transportation networks, risk mitigation.

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Dezfuli Nezhad, M., Raoufi, R., & Dalvand, A. (2022). Resilience-based multi-objective optimization for determining the optimal sequence of bridge retrofit projects. Roads and Bridges - Drogi I Mosty, 21(4), 293–308. https://doi.org/10.7409/rabdim.022.017

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References

Twumasi-Boakye R., Sobanjo J.O.: Resilience of regional transportation networks subjected to hazard-induced bridge damages. Journal of Transportation Engineering, Part A: Systems, 144, 10, 2018, 04018062, DOI: 10.1061/JTEPBS.0000186
Google Scholar

Li Z., Jin C., Hu P., Wang C.: Resilience-based transportation network recovery strategy during emergency recovery phase under uncertainty. Reliability Engineering & System Safety, 188, 2019, 503-514, DOI: 10.1016/j.ress.2019.03.052
Google Scholar

Twumasi-Boakye R., Sobanjo J.O.: Evaluating transportation user costs based on simulated regional network models. Transportation Research Record, 2612, 1, 2017, 121-131, DOI: 10.3141/2612-14
Google Scholar

Vugrin E.D., Turnquist M.A., Brown N.J.: Optimal recovery sequencing for enhanced resilience and service restoration in transportation networks. International Journal of Critical Infrastructures, 10, 3-4, 2014, 218-246, DOI: 10.1504/IJCIS.2014.066356
Google Scholar

Hosseini S., Barker K., Ramirez-Marquez J.E.: A review of definitions and measures of system resilience. Reliability Engineering & System Safety, 145, 2016, 47-61, DOI: 10.1016/j.ress.2015.08.006
Google Scholar

National Infrastructure Advisory Council: Critical infrastructure resilience: Final report and recommendations. Washington, D.C., 2009
Google Scholar

Kameshwar S., Cox D.T., Barbosa A.R., Farokhnia K., Park H., Alam M.S., van de Lindt J.W.: Probabilistic decision-support framework for community resilience: Incorporating multi-hazards, infrastructure interdependencies, and resilience goals in a Bayesian network. Reliability Engineering & System Safety, 191, 2019, ID article 106568, DOI: 10.1016/j.ress.2019.106568
Google Scholar

Bruneau M., Chang S.E., Eguchi R.T., Lee G.C., O’Rourke T.D., Reinhorn A.M., Shinozuka M., Tierney K., Wallace W.A., von Winterfeldt D.: A framework to quantitatively assess and enhance the seismic resilience of communities. Earthquake spectra, 19, 4, 2003, 733-752, DOI: 10.1193/1.1623497
Google Scholar

Frangopol D.M., Nakib R.: Redundancy in highway bridges. Engineering Journal, 28, 1, 1991, 45-50
Google Scholar

Ghosn M., Moses F., Frangopol D.M.: Redundancy and robustness of highway bridge superstructures and substructures. Structure and Infrastructure Engineering, 6, 1-2, 2010, 257-278, DOI: 10.1080/15732470802664498
Google Scholar

Zhang W., Wang N.: Resilience-based risk mitigation for road networks. Structural Safety, 62, 2016, 57-65, DOI: 10.1016/j.strusafe.2016.06.003
Google Scholar

Faturechi R., Miller-Hooks E.: Measuring the performance of transportation infrastructure systems in disasters: A comprehensive review. Journal of Infrastructure Systems, 21, 1, 2015, ID article 04014025, DOI: 10.1061/(ASCE)IS.1943-555X.0000212
Google Scholar

Wan C., Yang Z., Zhang D., Yan X., Fan S.: Resilience in transportation systems: a systematic review and future directions. Transport Reviews, 38, 4, 2018, 479-498, DOI: 10.1080/01441647.2017.1383532
Google Scholar

Zhou Y., Wang J., Yang H.: Resilience of transportation systems: concepts and comprehensive review. IEEE Transactions on Intelligent Transportation Systems, 20, 12, 2019, 4262-4276, DOI: 10.1109/TITS.2018.2883766
Google Scholar

Liu C., Fan Y., Ordóńez F.: A two-stage stochastic programming model for transportation network protection. Computers & Operations Research, 36, 5, 2009, 1582-1590, DOI: 10.1016/j.cor.2008.03.001
Google Scholar

Chang L., Peng F., Ouyang Y., Elnashai A.S., Spencer B.F. Jr.: Bridge seismic retrofit program planning to maximize postearthquake transportation network capacity. Journal of Infrastructure Systems, 18, 2, 2012, 75-88, DOI: 10.1061/(ASCE)IS.1943-555X.0000082
Google Scholar

Dong Y., Frangopol D.M., Saydam D.: Pre-earthquake multi-objective probabilistic retrofit optimization of bridge networks based on sustainability. Journal of Bridge Engineering, 19, 6, 2014, ID article 04014018, DOI: 10.1061/(ASCE)BE.1943-5592.0000586
Google Scholar

Lu J., Atamturktur S., Huang Y.: Bi-level resource allocation framework for retrofitting bridges in a transportation network. Transportation Research Record, 2550, 1, 2016, 31-37, DOI: 10.3141/2550-05
Google Scholar

Liu K., Zhai C., Dong Y.: Optimal restoration schedules of transportation network considering resilience. Structure and Infrastructure Engineering, 17, 8, 2021, 1141-1154, DOI: 10.1080/15732479.2020.1801764
Google Scholar

Bocchini P., Frangopol D.M.: Optimal resilience-and cost-based postdisaster intervention prioritization for bridges along a highway segment. Journal of Bridge Engineering, 17, 1, 2012, 117-129, DOI: 10.1061/(ASCE)BE.1943-5592.0000201
Google Scholar

Zhang W., Wang N., Nicholson C.: Resilience-based post-disaster recovery strategies for road-bridge networks. Structure and Infrastructure Engineering, 13, 11, 2017, 1404-1413, DOI: 10.1080/15732479.2016.1271813
Google Scholar

Decň A., Bocchini P., Frangopol D.M.: A probabilistic approach for the prediction of seismic resilience of bridges. Earthquake Engineering & Structural Dynamics, 42, 10, 2013, 1469-1487, DOI: 10.1002/eqe.2282
Google Scholar

Bocchini P., Frangopol D.M.: Restoration of bridge networks after an earthquake: Multicriteria intervention optimization. Earthquake Spectra, 28, 2, 2012, 427-455, DOI: 10.1193/1.4000019
Google Scholar

Frangopol D.M., Bocchini P.: Resilience as optimization criterion for the rehabilitation of bridges belonging to a transportation network subject to earthquake. Structures Congress 2011, Las Vegas, 2011, 2044-2055, DOI: 10.1061/41171(401)178
Google Scholar

Karamlou A., Bocchini P.: Optimal bridge restoration sequence for resilient transportation networks. Structures Congress 2014, Boston, 2014, 1437-1447, DOI: 10.1061/9780784413357.127
Google Scholar

Merschman E., Doustmohammadi M., Salman A.M., Anderson M.: Postdisaster decision framework for bridge repair prioritization to improve road network resilience. Transportation research record, 2674, 3, 2020, 81-92, DOI: 10.1177/0361198120908870
Google Scholar

Liu Y., McNeil S., Hackl J., Adey B.T.: Prioritizing transportation network recovery using a resilience measure. Sustainable and Resilient Infrastructure, 7, 1, 2022, 70-81, DOI: 10.1080/23789689.2019.1708180
Google Scholar

Zhang X., Miller-Hooks E., Denny K.: Assessing the role of network topology in transportation network resilience. Journal of Transport Geography, 46, 2015, 35-45, DOI: 10.1016/j.jtrangeo.2015.05.006
Google Scholar

Faturechi R., Miller-Hooks E.: Travel time resilience of roadway networks under disaster. Transportation Research Part B: Methodological, 70, 2014, 47-64, DOI: 10.1016/j.trb.2014.08.007
Google Scholar

Liao T.Y., Hu T.Y., Ko Y.N.: A resilience optimization model for transportation networks under disasters. Natural Hazards, 93, 1, 2018, 469-489, DOI: 10.1007/s11069-018-3310-3
Google Scholar

Zhang W., Wang N., Nicholson C., Tehrani M.H.: A stage-wise decision framework for transportation network resilience planning. arXiv:1808.03850, 2018, DOI: 10.48550/arXiv.1808.03850
Google Scholar

Zhang N., Alipour A.: Two-Stage Model for Optimized Mitigation and Recovery of Bridge Network with Final Goal of Resilience. Transportation Research Record, 2674, 10, 2020, 114-123, DOI: 10.1177/0361198120935450
Google Scholar

Sun W., Bocchini P., Davison B.D.: Resilience metrics and measurement methods for transportation infrastructure: the state of the art. Sustainable and Resilient Infrastructure, 5, 3, 2020, 168-199, DOI: 10.1080/23789689.2018.1448663
Google Scholar

Ip W.H., Wang D.: Resilience evaluation approach of transportation networks, in: 2009 International Joint Conference on Computational Sciences and Optimization, 2, 2009, 618-622, DOI: 10.1109/CSO.2009.294
Google Scholar

Ip W.H., Wang D.: Resilience and friability of transportation networks: evaluation, analysis and optimization. IEEE Systems Journal, 5, 2, 2011, 189-198, DOI: 10.1109/JSYST.2010.2096670
Google Scholar

Mehdi Dezfuli Nezhad

Affiliation:

Islamic Azad University of Ahvaz, Department of Civil Engineering, Farhangshahr, Golestan Blvd., 6134937333 Ahvaz, Iran

Reza Raoufi

r_raoufi@iauahvaz.ac.ir

Affiliation:

Islamic Azad University of Ahvaz, Department of Civil Engineering, Farhangshahr, Golestan Blvd., 6134937333 Ahvaz, Iran

Ahmad Dalvand

Affiliation:

Islamic Azad University of Ahvaz, Department of Civil Engineering, Farhangshahr, Golestan Blvd., 6134937333 Ahvaz, Iran

Resilience-based multi-objective optimization for determining the optimal sequence of bridge retrofit projects

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Mehdi Dezfuli Nezhad

Reza Raoufi

Ahmad Dalvand