Estimating the resistance of aging service-proven bridges with a Gamma process-based deterioration model
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摘要
The environmental or anthropogenic factors, to which the in-service bridges are subjected,are responsible for the reduction of bridge performance, and finally lead to great service risk for bridges and increase the probability of substantial economic losses. Probabilitybased estimate of bridge resistance is an essential indicator for the bridge condition evaluation and for optimization of bridge maintenance/repair decisions. It places an emphasis on the proper probabilistic models of structural properties and assessment methods. Making full use of historical service load information may improve the accuracy of bridge performance assessment with reduced epistemic uncertainty for existing aging bridges. In to-date analyses to update the bridge resistance with past service information,the models of resistance deterioration have been assumed as either deterministic or fully correlated, which may differ significantly from the realistic case. With this regard, this paper proposes a novel method for updating the resistance of service-proven bridges with a realistic deterioration model. The Gamma stochastic process has been suggested in the literature to describe the probabilistic behavior of structural time-dependent resistance and thus is adopted in this paper. An illustrative bridge is presented to demonstrate the applicability of the proposed method. Parametric examples are conducted to investigate the role of resistance deterioration model in the updated estimate of bridge resistance with historical service information.
The environmental or anthropogenic factors, to which the in-service bridges are subjected,are responsible for the reduction of bridge performance, and finally lead to great service risk for bridges and increase the probability of substantial economic losses. Probabilitybased estimate of bridge resistance is an essential indicator for the bridge condition evaluation and for optimization of bridge maintenance/repair decisions. It places an emphasis on the proper probabilistic models of structural properties and assessment methods. Making full use of historical service load information may improve the accuracy of bridge performance assessment with reduced epistemic uncertainty for existing aging bridges. In to-date analyses to update the bridge resistance with past service information,the models of resistance deterioration have been assumed as either deterministic or fully correlated, which may differ significantly from the realistic case. With this regard, this paper proposes a novel method for updating the resistance of service-proven bridges with a realistic deterioration model. The Gamma stochastic process has been suggested in the literature to describe the probabilistic behavior of structural time-dependent resistance and thus is adopted in this paper. An illustrative bridge is presented to demonstrate the applicability of the proposed method. Parametric examples are conducted to investigate the role of resistance deterioration model in the updated estimate of bridge resistance with historical service information.
The environmental or anthropogenic factors, to which the in-service bridges are subjected,are responsible for the reduction of bridge performance, and finally lead to great service risk for bridges and increase the probability of substantial economic losses. Probabilitybased estimate of bridge resistance is an essential indicator for the bridge condition evaluation and for optimization of bridge maintenance/repair decisions. It places an emphasis on the proper probabilistic models of structural properties and assessment methods. Making full use of historical service load information may improve the accuracy of bridge performance assessment with reduced epistemic uncertainty for existing aging bridges. In to-date analyses to update the bridge resistance with past service information,the models of resistance deterioration have been assumed as either deterministic or fully correlated, which may differ significantly from the realistic case. With this regard, this paper proposes a novel method for updating the resistance of service-proven bridges with a realistic deterioration model. The Gamma stochastic process has been suggested in the literature to describe the probabilistic behavior of structural time-dependent resistance and thus is adopted in this paper. An illustrative bridge is presented to demonstrate the applicability of the proposed method. Parametric examples are conducted to investigate the role of resistance deterioration model in the updated estimate of bridge resistance with historical service information.
引文
Dieulle, L., Berenguer, C., Grall, A., et al., 2003. Sequential condition-based maintenance scheduling for a deteriorating system. European Journal of Operational Research 150(2),451-461.
Ellingwood, B.R., 1996. Reliability-based condition assessment and LRFD for existing structures. Structural Safety 18(2-3),67-80.
Ellingwood, B.R., 2005. Risk-informed condition assessment of civil infrastructure:state of practice and research issues.Structure and Infrastructure Engineering 1(1), 7-18.
Faber, M.H., Val, D.V., Stewart, M.G., 2000. Proof load testing for bridge assessment and upgrading. Engineering Structures 22(12), 1677-1689.
Fujino, Y., Lind, N.C., 1977. Proof-load factors and reliability.Journal of Structural Division 103(4), 853-870.
Hall, W.B., 1988. Reliability of service-proven structures. Journal of Structural Engineering 114(3),608-624.
Hall, W.B., Tsai, M., 1989. Load testing, structural reliability and test evaluation. Structural Safety 6(2-4), 285-302.
Kumar, R., Gardoni, P., 2011. Modeling structural degradation of RC bridge columns subjected to earthquakes and their fragility estimates. Journal of Structural Engineering 138(1), 42-51.
Li, Q., Ellingwood, B.R., 2007. Performance evaluation and damage assessment of steel frame buildings under main shock-aftershock earthquake sequences. Earthquake Engineering and Structural Dynamics 36(3), 405-427.
Li, Q., Wang, C., 2015. Updating the assessment of resistance and reliability of existing aging bridges with prior service loads.Journal of Structural Engineering 141(12), 04015072.
Li, Q., Wang, C., Zhang, L., 2015a. Updating for bearing capacity of existing bridges considering structural deterioration and loading history. Journal of Tsinghua University Science and Technology 55(1), 8-13.
Li, Q., Wang, C., Ellingwood, B.R., 2015b. Time-dependent reliability of aging structures in the presence of nonstationary loads and degradation. Structural Safety 52,132-141.
Lin, X., Zong, Z., Niu, J., 2015. Finite element model validation of bridge based on structural health monitoring. Part II:uncertainty propagation and model validation. Journal of Traffic and Transportation Engineering(English Edition)2(4),279-289.
Melchers, R.E., Beck, A.T., 2017. Structural Reliability Analysis and Prediction. John Wiley&Sons, New York.
Mori, Y., Ellingwood, B.R., 1993. Reliability-based service-life assessment of aging concrete structures. Journal of Structural Engineering 119(5), 1600-1621.
Nowak, A.S., Lutomirska, M., Sheikh Ibrahim, F., 2010. The development of live load for long span bridges. Bridge Structures 6(12), 73-79.
Pang, L., Li, Q.., 2016. Service life prediction of RC structures in marine environment using long term chloride ingress data:comparison between exposure trials and real structure surveys. Construction and Building Materials 113, 979-987.
Pipinato, A., 2016. Bridge assessment, retrofit, and management.In:Pipinato, A.(Ed.), Innovative Bridge Design Handbook.Butterworth-Heinemann, Oxford, pp. 721-757.
Saassouh, B., Dieulle, L., Grall, A., 2007. Online maintenance policy for a deteriorating system with random change of mode. Reliability Engineering and System Safety 92(12),1677-1685.
Saraf, V., Nowak, A.S., 1998. Proof load testing of deteriorated steel girder bridges. Journal of Bridge Engineering 3(2), 82-89.
Saydam, D., Bocchini, P., Frangopol, D.M., 2013. Time-dependent risk associated with deterioration of highway bridge networks. Engineering Structures 54, 221-233.
Schweckendiek, T., 2010. Reassessing reliability based on survived loads. In:32nd Conference on Coastal Engineering,Shanghai, 2010.
Stewart, M.G., 1997. Time-dependent reliability of existing RC structures. Journal of Structural Engineering 123(7), 896-902.
Stewart, M.G., 2001. Effect of construction and service loads on reliability of existing RC buildings. Journal of Structural Engineering 127(10), 1232-1235.
Stewart, M.G., Val, D.V., 1999. Role of load history in reliabilitybased decision analysis of aging bridges. Journal of Structural Engineering 125(7), 776-783.
Vardanega, P.J., Webb, G.T., Fidler, P.R.A., et al., 2016. Bridge monitoring. In:Pipinato, A.(Ed.), Innovative Bridge Design Handbook. Butterworth-Heinemann, Oxford, pp. 759-775.
Vu, K.A.T., Stewart, M.G., 2000. Structural reliability of concrete bridges including improved chloride-induced corrosion models. Structural Safety 22(4), 313-333.
Wang, C., Li, Q., Zou, A., et al., 2015. A realistic resistance deterioration model for time-dependent reliability analysis of aging bridges. Journal of Zhejiang University Science A 16(7),513-524.
Wang, C., Li, Q., Ellingwood, B.R., 2016. Time-dependent reliability of ageing structures:an approximate approach. Structure and Infrastructure Engineering 12(12), 1566-1572.
Wang, C., Zhang, H., Li, Q., 2017. Time-dependent reliability assessment of aging series systems subjected to nonstationary loads. Structure and Infrastructure Engineering 13(12), 1513-1522.
Wipf, T.J., Phares, B., Klaiber, F., et al., 2003. Development of Bridge Load Testing Process for Load Evaluation. TR-445.Center for Transportation Research and Education, Iowa State University, Ames.
Ellingwood, B.R., 1996. Reliability-based condition assessment and LRFD for existing structures. Structural Safety 18(2-3),67-80.
Ellingwood, B.R., 2005. Risk-informed condition assessment of civil infrastructure:state of practice and research issues.Structure and Infrastructure Engineering 1(1), 7-18.
Faber, M.H., Val, D.V., Stewart, M.G., 2000. Proof load testing for bridge assessment and upgrading. Engineering Structures 22(12), 1677-1689.
Fujino, Y., Lind, N.C., 1977. Proof-load factors and reliability.Journal of Structural Division 103(4), 853-870.
Hall, W.B., 1988. Reliability of service-proven structures. Journal of Structural Engineering 114(3),608-624.
Hall, W.B., Tsai, M., 1989. Load testing, structural reliability and test evaluation. Structural Safety 6(2-4), 285-302.
Kumar, R., Gardoni, P., 2011. Modeling structural degradation of RC bridge columns subjected to earthquakes and their fragility estimates. Journal of Structural Engineering 138(1), 42-51.
Li, Q., Ellingwood, B.R., 2007. Performance evaluation and damage assessment of steel frame buildings under main shock-aftershock earthquake sequences. Earthquake Engineering and Structural Dynamics 36(3), 405-427.
Li, Q., Wang, C., 2015. Updating the assessment of resistance and reliability of existing aging bridges with prior service loads.Journal of Structural Engineering 141(12), 04015072.
Li, Q., Wang, C., Zhang, L., 2015a. Updating for bearing capacity of existing bridges considering structural deterioration and loading history. Journal of Tsinghua University Science and Technology 55(1), 8-13.
Li, Q., Wang, C., Ellingwood, B.R., 2015b. Time-dependent reliability of aging structures in the presence of nonstationary loads and degradation. Structural Safety 52,132-141.
Lin, X., Zong, Z., Niu, J., 2015. Finite element model validation of bridge based on structural health monitoring. Part II:uncertainty propagation and model validation. Journal of Traffic and Transportation Engineering(English Edition)2(4),279-289.
Melchers, R.E., Beck, A.T., 2017. Structural Reliability Analysis and Prediction. John Wiley&Sons, New York.
Mori, Y., Ellingwood, B.R., 1993. Reliability-based service-life assessment of aging concrete structures. Journal of Structural Engineering 119(5), 1600-1621.
Nowak, A.S., Lutomirska, M., Sheikh Ibrahim, F., 2010. The development of live load for long span bridges. Bridge Structures 6(12), 73-79.
Pang, L., Li, Q.., 2016. Service life prediction of RC structures in marine environment using long term chloride ingress data:comparison between exposure trials and real structure surveys. Construction and Building Materials 113, 979-987.
Pipinato, A., 2016. Bridge assessment, retrofit, and management.In:Pipinato, A.(Ed.), Innovative Bridge Design Handbook.Butterworth-Heinemann, Oxford, pp. 721-757.
Saassouh, B., Dieulle, L., Grall, A., 2007. Online maintenance policy for a deteriorating system with random change of mode. Reliability Engineering and System Safety 92(12),1677-1685.
Saraf, V., Nowak, A.S., 1998. Proof load testing of deteriorated steel girder bridges. Journal of Bridge Engineering 3(2), 82-89.
Saydam, D., Bocchini, P., Frangopol, D.M., 2013. Time-dependent risk associated with deterioration of highway bridge networks. Engineering Structures 54, 221-233.
Schweckendiek, T., 2010. Reassessing reliability based on survived loads. In:32nd Conference on Coastal Engineering,Shanghai, 2010.
Stewart, M.G., 1997. Time-dependent reliability of existing RC structures. Journal of Structural Engineering 123(7), 896-902.
Stewart, M.G., 2001. Effect of construction and service loads on reliability of existing RC buildings. Journal of Structural Engineering 127(10), 1232-1235.
Stewart, M.G., Val, D.V., 1999. Role of load history in reliabilitybased decision analysis of aging bridges. Journal of Structural Engineering 125(7), 776-783.
Vardanega, P.J., Webb, G.T., Fidler, P.R.A., et al., 2016. Bridge monitoring. In:Pipinato, A.(Ed.), Innovative Bridge Design Handbook. Butterworth-Heinemann, Oxford, pp. 759-775.
Vu, K.A.T., Stewart, M.G., 2000. Structural reliability of concrete bridges including improved chloride-induced corrosion models. Structural Safety 22(4), 313-333.
Wang, C., Li, Q., Zou, A., et al., 2015. A realistic resistance deterioration model for time-dependent reliability analysis of aging bridges. Journal of Zhejiang University Science A 16(7),513-524.
Wang, C., Li, Q., Ellingwood, B.R., 2016. Time-dependent reliability of ageing structures:an approximate approach. Structure and Infrastructure Engineering 12(12), 1566-1572.
Wang, C., Zhang, H., Li, Q., 2017. Time-dependent reliability assessment of aging series systems subjected to nonstationary loads. Structure and Infrastructure Engineering 13(12), 1513-1522.
Wipf, T.J., Phares, B., Klaiber, F., et al., 2003. Development of Bridge Load Testing Process for Load Evaluation. TR-445.Center for Transportation Research and Education, Iowa State University, Ames.