TY - JOUR
T1 - Uncertainty in risk of highway bridges assessed for integrated seismic and flood hazards
AU - Yilmaz, Taner
AU - Banerjee, Swagata
AU - Johnson, Peggy A.
N1 - Funding Information:
This research was conducted at the Pennsylvania State University (PSU), University Park, Pennsylvania and was funded by the National Science Foundation (NSF) [grant number 1131359].
Funding Information:
This research was conducted at the Pennsylvania State University (PSU), University Park, Pennsylvania and was funded by the National Science Foundation (NSF) [grant number 1131359]. The authors are grateful to both NSF and PSU for providing the fund and facilities to conduct the study. The authors are thankful to Caltrans for sharing design drawings of the studied bridge.
Publisher Copyright:
© 2017, © 2017 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2018/9/2
Y1 - 2018/9/2
N2 - Probabilistic risk assessment for bridges under natural hazards is of great interest to engineers for the development of risk mitigation strategies and implementation plans. The present study evaluates risk of an existing highway bridge in California, USA, under the integrated impact of regional seismic and flood hazards. A sensitivity study combining tornado diagram and first-order second moment reliability analyses is conducted to screen significant uncertain parameters to which bridge response is mostly sensitive. A rigorous uncertainty analysis, employing random sampling and Monte Carlo simulation techniques, is performed to obtain variations in fragility and risk curves of the bridge. Observed variations in risk curves at various risk levels are quantified through 90% confidence intervals and coefficients of variation (COV) of risk. It is observed that uncertainty in the estimated risk increases due to the presence of flood hazard at the bridge site, although mean risk does not vary with flood hazard level. Research outcome signifies that the variation in risk due to parameter uncertainty and varied flood hazard level should not be ignored to ensure bridge safety under the stated multi-hazard condition.
AB - Probabilistic risk assessment for bridges under natural hazards is of great interest to engineers for the development of risk mitigation strategies and implementation plans. The present study evaluates risk of an existing highway bridge in California, USA, under the integrated impact of regional seismic and flood hazards. A sensitivity study combining tornado diagram and first-order second moment reliability analyses is conducted to screen significant uncertain parameters to which bridge response is mostly sensitive. A rigorous uncertainty analysis, employing random sampling and Monte Carlo simulation techniques, is performed to obtain variations in fragility and risk curves of the bridge. Observed variations in risk curves at various risk levels are quantified through 90% confidence intervals and coefficients of variation (COV) of risk. It is observed that uncertainty in the estimated risk increases due to the presence of flood hazard at the bridge site, although mean risk does not vary with flood hazard level. Research outcome signifies that the variation in risk due to parameter uncertainty and varied flood hazard level should not be ignored to ensure bridge safety under the stated multi-hazard condition.
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U2 - 10.1080/15732479.2017.1402065
DO - 10.1080/15732479.2017.1402065
M3 - Article
AN - SCOPUS:85034833530
SN - 1573-2479
VL - 14
SP - 1182
EP - 1196
JO - Structure and Infrastructure Engineering
JF - Structure and Infrastructure Engineering
IS - 9
ER -