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Towards a whole-network risk assessment for railway bridge failures caused by scour during flood events

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(1)E3S Web of Conferences 7, 11002 (2016) FLOODrisk 2016 - 3rd European Conference on Flood Risk Management. DOI: 10.1051/ e3sconf/2016 0711002. Towards a whole-network risk assessment for railway bridge failures caused by scour during flood events Rob Lamb. 1,2,a. 3. , Raghav Pant , and Jim Hall. 3. 1. JBA Trust, South Barn, Broughton Hall, Skipton, BD23 3AE, UK Lancaster Environment Centre, University of Lancaster, LA1 4YQ, UK 3 Environmental Change Institute, University of Oxford, Oxford, UK 2. Abstract. Localised erosion (scour) during flood flow conditions can lead to costly damage or catastrophic failure of bridges, and in some cases loss of life or significant disruption to transport networks. Here, we take a broad scale view to assess risk associated with bridge scour during flood events over an entire infrastructure network, illustrating the analysis with data from the British railways. There have been 54 recorded events since 1846 in which scour led to the failure of railway bridges in Britain. These events tended to occur during periods of extremely high river flow, although there is uncertainty about the precise conditions under which failures occur, which motivates a probabilistic analysis of the failure events. We show how data from the historical bridge failures, combined with hydrological analysis, have been used to construct fragility curves that quantify the conditional probability of bridge failure as a function of river flow, accompanied by estimates of the associated uncertainty. The new fragility analysis is tested using flood events simulated from a national, spatial joint probability model for extremes in river flows. The combined models appear robust in comparison with historical observations of the expected number of bridge failures in a flood event, and provide an empirical basis for further broad-scale network risk analysis.. 1 Introduction Scour is widely regarded as a common cause of failure in bridges that cross rivers [1, 2]. Between 1846 and 2013, 100 railway bridge failures (Figure 1) have been linked to scour during flood events in Britain [3,4], leading to fatalities as well as monetary losses. Models exist to estimate the depth of scour at a structure (for example, see [1-2, 5-8]). However, there remain substantial uncertainties about whether one or more failures may occur across an infrastructure network during flood events. This uncertainty is reflected in a wide range of flood event magnitudes that have been observed in association with failure events [3,4]. Therefore, we adopt a probabilistic approach here, using the historical failure data in [4] to construct  

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(478)  $. 13.. 14.. 15.. 6 References. 16.. 1.. Kirby, A.M., Roca, M., Kitchen, A., Escarameia, M. and Chesterton, O.J. (2015). Manual on scour at bridges and other hydraulic structures, 2nd edition, Report C742, CIRIA, London, 320 pp. 2. Kattell, J. and Eriksson, M. (1998). Bridge Scour Evaluation: Screening, Analysis, and Countermeasures, United States Department of Agriculture Forest Service, Technology & Development Program, 7700-Transportation Systems, Report 9877 1207-SDTDC, 12pp (http://www.fs.fed.us/eng/structures/98771207.pdf) 3. Rail Safety and Standards Board (2004). Impact of scour and flood risk on railway structures, Infrastructure Integrity (4) Research Theme: Report Number T112. 4. van Leeuwen, Z. and Lamb, R. (2014). Flood and scour related failure incidents at railway assets between 1846 and 2013, JBA Trust Report W134224, Skipton, UK, www.jbatrust.org 5. Melville, B. (1997). Pier and abutment scour: Integrated approach, ASCE Journal of Hydraulic Engineering, 123, 125-136. 6. Melville, B.W. and Chiew, Y.M. (1999). Time Scale for Local Scour at Bridge Piers, ASCE Journal of Hydraulic Engineering, 25, 59-65. 7. Coleman, S.E., Lauchlan, C.S. and Melville, B.W. (2003). Clear-water scour development at bridge abutments, Journal of Hydraulic Research, 41, 521531, DOI: 10.1080/00221680309499997 8. Hong, J-H., Goyal, M.K., Chiew, Y-M., Chua, L.H.C. (2012). Predicting time-dependent pier scour depth with support vector regression, Journal of Hydrology, DOI: 10.1016/j.jhydrol.2012.08.038 9. Department for Transport, Table RAI0101, London, https://www.gov.uk/government/statistical-data-sets 10. Marti-Henneberg, J. (2013). European integration and national models for railway networks (18402010), Journal of Transport Geography, 26, 126138, doi: 10.1016/j.jtrangeo.2012.09.004 11.  ! "#$$%&!  '    . network: fit for purpose in the 21 st century?, Journal of Transport Geography 15, 198-216, doi:10.1016/j.jtrangeo.2006.02.015 12. Bradbrook, K., Waller, S. and Morris, D. (2005). National floodplain mapping: datasets and methods:. 17.. 18.. 19.. 4. DOI: 10.1051/ e3sconf/2016 0711002. 160,000 km in 12 months. Natural Hazards, 36, 103123. Lamb, R., Keef, C., Tawn, J., Laeger, S., Medowcroft, I., Surendran, S., Dunning, P., Batstone, C. (2010). A new method to assess the risk of local and widespread flooding on rivers and coasts, Journal of Flood Risk Management, 3. Porter, K., Kennedy, R. and Bachman, R. (2007). Creating Fragility Functions for Performance-Based Earthquake Engineering, Earthquake Spectra, 23, 471-489 Nelder, J.A. and Mead, R. (1965). A simplex algorithm for function minimization, Computer Journal 7, 308(313 McCullagh, P. and Nelder, J.A. (1989). Generalized Linear Models, Second Edition, Volume 37, Chapman and Hall/CRC Monographs on Statistics and Applied Probability, CRC Press, 532 pp Heffernan J. E. and Tawn J. A. (2004). A conditional approach for multivariate extreme values. Journal of the Royal Statistical Society, Series B (Statistical Methodology), 66, 497(546 Keef, C., Tawn, J., and Lamb, R. (2013). Estimating the probability of widespread flood events. Environmetrics, 24, 13-21 Pant, R., Blainey, S.P., Hall, J.W. and Preston, J.M. (2016). Criticality assessment of a national railway network to inform risk and resilience estimation. Risk Analysis, in review..

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