Development of Time–Depth–Damage Functions for Flooded Flexible Pavements
Publication: Journal of Transportation Engineering, Part B: Pavements
Volume 148, Issue 2
Abstract
The first step toward building pavement structures that are resilient to flooding is to have a proper understanding of the impact of inundation on the pavement. Depth-damage functions have been developed and are widely used to quantify flood-induced damage to buildings. However, such damage functions do not exist for roadway pavements. The objective of this study is to develop a methodological framework to model postflooding road damage by identifying the importance of several parameters including flood duration, flood depth, flood pattern (including real flood data), transfer functions, pavement materials, and analysis location. Pavement serviceability and costs are introduced into the evaluation as well. The long-term goal is a tool for decision makers to use in planning and management of flooding events for more resilient pavements and allocation of budgets. It is established that the most important parameters that should be accounted for by decision makers are the flood duration, combination of the materials, critical location on the roadway (both vertical and lateral), and use of appropriate transfer functions. Opening the roadway to traffic immediately after the floodwater recedes will lead to earlier and more significant deterioration of the pavement and more costly maintenance and reconstruction.
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Data Availability Statement
Some or all data, models, or codes that support the findings of this study are available from the corresponding author upon reasonable request. Such data or models are FEM models, Kenlayer models, and algorithms used in the analysis.
Acknowledgments
The authors would like to acknowledge support from the University of New Hampshire Center for Infrastructure Resilience to Climate (UCIRC) and the Sustainability Fellows Program. The authors also acknowledge support from the National Natural Science Foundation of China (No. 52008388) and the Jiangsu Innovation and Entrepreneurship Doctoral Program for Dr. Qiao’s time.
References
Behiry, A. E. 2012. “Fatigue and rutting lives in flexible pavement.” Ain Shams Eng. J. 3 (4): 367–374. https://doi.org/10.1016/j.asej.2012.04.008.
Chen, X., and Z. Zhang. 2014. “Effects of hurricanes Katrina and Rita flooding on Louisiana pavement performance.” In Pavement materials, structures, and performance, 212–221. Reston, VA: ASCE.
Daniel, J. S., et al. 2018. Flooded pavement assessment. Washington, DC: Federal Highway Administration.
Dawson, A. 2009. Water in road structures. Dordrecht, Netherlands: Springer.
Elshaer, M., and J. S. Daniel. 2018. “Impact of pavement layer properties on the structural performance of inundated flexible pavements.” Transp. Geotech. 16 (Sep): 11–20. https://doi.org/10.1016/j.trgeo.2018.06.002.
Fladvad, M., and S. Erlingsson. Forthcoming. “Permanent deformation modelling of large-size unbound pavement materials tested in a heavy vehicle simulator under different moisture conditions.” Road Mater. Pavement Des. https://doi.org/10.1080/14680629.2021.1883464.
Gaspard, K., M. Martinez, Z. Zhang, and Z. Wu. 2007. Impact of Hurricane Katrina on roadways in the New Orleans area. Baton Rouge, LA: Louisiana DOT and Development, Louisiana Transportation Research Center.
GEO-SLOPE. 2015. Seepage modeling with SEEP/W. SEEP/W user manual. Calgary, Canada: GEO-SLOPE International Ltd.
Huang, Y. H. 2004. Pavement analysis and design. 2nd ed. Saddle River, NJ: Pearson.
Khan, M. U., M. Mesbah, L. Ferreira, and D. J. Williams. 2017. “Estimating pavement’s flood resilience.” ASCE Transp. Eng. J.: Part B: Pavements 143 (3): 04017009. https://doi.org/10.1061/JPEODX.0000007.
Mallick, R., M. Tao, J. Daniel, J. M. Jacobs, and A. Veeraragavan. 2017. “A combined model framework for asphalt pavements condition determination after flooding [poster presentation].” In Proc., Transportation Research Board 96th Annual Meeting, 64–72. Washington, DC: Transportation Research Board.
Nadal, N. C., R. E. Zapata, I. Pagán, R. López, and J. Agudelo. 2010. “Building damage due to Riverine and coastal floods.” J. Water Resour. Plann. Manage. 136 (3): 327–336. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000036.
Pistrika, A., G. Tsakiris, and I. Nalbantis. 2014. “Flood depth-damage functions for built environment.” Environ. Process. 1 (4): 553–572. https://doi.org/10.1007/s40710-014-0038-2.
Pistrika, A. K., and S. N. Jonkman. 2010. “Damage to residential buildings due to flooding of New Orleans after Hurricane Katrina.” Nat. Hazards 54 (2): 413–434. https://doi.org/10.1007/s11069-009-9476-y.
Qiao, Y., R. A. Medina, L. M. McCarthy, R. B. Mallick, and J. S. Daniel. 2017. “Decision tree for postflooding roadway operations.” Transp. Res. Rec. 2604 (1): 120–130. https://doi.org/10.3141/2604-15.
Romanoschi, S. 2019. The impact of Hurricane Harvey on pavement structures in the South East Texas and South West Louisiana. Arlington, TX: Univ. of Texas at Arlington.
Salour, F., and S. Erlingsson. 2013. “Moisture-sensitive and stress-dependent behavior of unbound pavement materials from in situ falling weight deflectometer tests.” Transp. Res. Rec. 2335 (1): 121–129. https://doi.org/10.3141/2335-13.
Scawthorn, C., et al. 2006. “HAZUS-MH flood loss estimation methodology. II. Damage and loss assessment.” Nat. Hazard. Rev. 7 (2): 72–81. https://doi.org/10.1061/(ASCE)1527-6988(2006)7:2(72).
Sultana, M., G. Chai, T. Martin, and S. Chowdhury. 2016. “Modeling the postflood short-term behavior of flexible pavements.” J. Transp. Eng. 142 (10): 04016042. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000873.
Texas DOT. 2019. Asset management, extreme weather and proxy indicators pilot. Austin, TX: Federal Highway Administration.
USGS National Water Information System. 2020. Accessed August 30, 2020. https://waterdata.usgs.gov/nc/nwis/current/?type=gw.
Vennapusa, P. K. R., D. J. White, and D. K. Miller. 2013. “Western Iowa Missouri River flooding—Geo-infrastructure damage assessment, repair and mitigation strategies. Washington, DC: Iowa Highway Research Board and Federal Highway Administration.
Witczak, M. W., D. Andrei, and W. N. Houston. 2000. Guide for mechanistic-empirical design of new and rehabilitated pavement structures appendix DD-1: Resilient modulus as function of soil moisture-summary of predictive models. Washington, DC: Transportation Research Board.
Zhang, Z., Z. Wu, M. Martinez, and K. Gaspard. 2008. “Pavement structures damage caused by Hurricane Katrina flooding.” J. Geotech. Geoenviron. Eng. 134 (5): 633–643. https://doi.org/10.1061/(ASCE)1090-0241(2008)134:5(633).
Information & Authors
Information
Published In
Journal of Transportation Engineering, Part B: Pavements
Volume 148 • Issue 2 • June 2022
Copyright
© 2022 American Society of Civil Engineers.
History
Received: Jan 19, 2021
Accepted: Dec 14, 2021
Published online: Feb 22, 2022
Published in print: Jun 1, 2022
Discussion open until: Jul 22, 2022
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