Reliability Assessment Framework of the Long-Span Cable-Stayed Bridge and Traffic System Subjected to Cable Breakage Events
Publication: Journal of Bridge Engineering
Volume 22, Issue 4
Abstract
As important load bearing members of cable-stayed bridges, stay cables may experience corrosion, fatigue, and accidental or intentional actions that may lead to possible breakage failure. The current bridge design guidelines require that a cable-stayed bridge be designed against single-cable breakage. A holistic reliability assessment framework is developed for a long-span cable-stayed bridge and traffic system subjected to breakage of stay cables considering service load conditions from both traffic and wind. In addition to the bridge structural ultimate limit state, a new bridge serviceability limit state is also introduced by focusing on the overall traffic safety performance of all vehicles of the traffic flow on the bridge following cable breakage incidents. Random variables are defined by considering uncertainties related to structural material properties, sectional properties, traffic, wind condition, and cable breakage parameters. The Latin hypercube sampling technique is adopted to sample the random variables and establish the simulation models by considering various uncertainties of parameters. Nonlinear dynamic analysis is conducted in each experiment to simulate the breakage of stay cables, during which various sources of nonlinearities and dynamic coupling effects from traffic and wind are incorporated. Fragility analyses of the bridge subjected to cable breakage events in terms of the ultimate limit state and the serviceability limit state are finally conducted.
Get full access to this article
View all available purchase options and get full access to this article.
Acknowledgments
The authors gratefully acknowledge the support for this research by the National Science Foundation through Grant CMMI-1335571. Valuable suggestions from Professor Bruce Ellingwood at Colorado State University are also greatly appreciated. Any opinions, findings, and conclusions expressed in this material are those of the investigators and do not necessarily reflect the views of the sponsor.
References
AASHTO. (1994). AASHTO LRFD bridge design specifications, 1st Ed., Washington, DC.
Ayyub, B. M. (1998). Uncertainty modeling and analysis in civil engineering, CRC, Boca Raton, FL.
Chen, S. R., and Cai, C. S. (2004). “Accident assessment of vehicles on long-span bridges in windy environments.” J. Wind Eng. Ind. Aerodyn., 92(12), 991–1024.
Chen, S. R., and Cai, C. S. (2004). “Equivalent wheel load approach for slender cable-stayed bridge fatigue assessment under traffic and wind: Feasibility study.” J. Bridge Eng., 755–764.
Chen, S. R., and Chen, F. (2010). “Simulation-based assessment of vehicle safety behavior under hazardous driving conditions.” J. Transp. Eng., 304–315.
Chen, S. R., and Wu, J. (2010). “Dynamic performance simulation of long-span bridge under combined loads of stochastic traffic and wind.” J. Bridge Eng., 219–230.
Chen, S. R., and Wu, J. (2011). “Modeling stochastic live load for long-span bridge based on microscopic traffic flow simulation.” Comput. Struct., 89(9–10), 813–824.
JCSS (Joint Committee on Structural Safety). (2001). “Probabilistic model code.” ⟨http://www.jcss.ethz.ch/⟩ (Aug. 1, 2001).
Katz, A. J., and Rakha, H. A. (2002). “Weigh-in-motion evaluation, final report of ITS center project.” Final Rep. of ITS Center Project, Virginia Tech Transportation Institute, Blacksburg, VA.
Kwon, O., Mwafy, A., and Elnashai, A. S. (2010). “Analytical Assessment of seismic performance evaluation procedures for bridges.” ACI Special Publication, Vol. 271, 45–62.
Li, Y., and Ellingwood, B. R. (2006). “Hurricane damage to residential construction in the US: Importance of uncertainty modeling in risk assessment.” Eng. Struct., 28(7), 1009–1018.
Low, H. Y., and Hao, H. (2001). “Reliability analysis of reinforced concrete slabs under explosive loading.” Struct. Saf., 23(2), 157–178.
Mackie, K., and Stojadinović, B. (2001). “Probabilistic seismic demand model for California highway bridges.” J. Bridge Eng., 468–481.
McGuire, W., Gallagher, R. H., and Ziemain, R. D. (2000). Matrix structural analysis, 2nd Ed., Wiley, Hoboken, NJ.
Mozos, C. M., and Aparicio, A. C. (2011). “Numerical and experimental study on the interaction cable structure during the failure of a stay in a cable stayed bridge.” Eng. Struct., 33(8), 2330–2341.
Nielson, B. G., and DesRoches, R. (2007). “Seismic fragility methodology for highway bridges using a component level approach.” Earthquake Eng. Struct. Dyn., 36(6), 823–839.
Nowak, A. S., and Szerszen, M. M. (2003). “Calibration of design code for buildings (ACI 318): Part 1—Statistical models for resistance.” ACI Struct. J., 100(3), 377–382.
ODOT (Oklahoma DOT). (2007). “Advanced weigh-in-motion.” Final Rep. of Oklahoma Transportation Center, Oklahoma City.
PTI (Post-Tensioning Institute). (2007). Recommendations for stay cable design, testing and installation, 5th Ed., Cable-Stayed Bridges Committee, Phoenix.
Ruiz-Teran, A., and Aparicio, A. (2009). “Response of under-deck cable-stayed bridges to the accidental breakage of stay cables.” Eng. Struct., 31(7), 1425–1434.
SAP2000 [Computer software]. Computers and Structures, Inc., Walnut Creek, CA.
TRB (Transportation Research Board). (2000). Highway capacity manual, Washington, DC.
Wolff, M., and Starossek, U. (2010). “Cable-loss analyses and collapse behavior of cable-stayed bridges.” Proc., IABMAS 2010 Fifth Int. Conf. on Bridge Maintenance, Safety and Management, July 2010, Philadelphia.
Yan, D., and Chang, C. (2009). “Vulnerability assessment of cable-stayed bridges in probabilistic domain.” J. Bridge Eng., 270–278.
Yang, J., and Ghosn, M. (2015). “Reliability-based progressive collapse and redundancy analysis of suspension bridges.” Proc., ICASP12–12th Int. Conf. on Applications of Statistics and Probability in Civil Engineering, International Civil Engineering Risk and Reliability Association, 2015.
Zhou, Y., and Chen, S. (2014). “Time-progressive dynamic assessment of abrupt cable-breakage events on cable-stayed bridges.” J. Bridge Eng., 159–171.
Zhou, Y., and Chen, S. (2015a). “Framework of nonlinear dynamic simulation of long-span cable-stayed bridge and traffic system subjected to cable-loss incidents.” J. Struct. Eng., 04015160.
Zhou, Y., and Chen, S. (2015b). “Dynamic simulation of long-span bridge-traffic system subjected to combined service and extreme loads.” J. Struct. Eng., 04014215.
Zhou, Y., and Chen, S. (2015c). “Numerical investigation of cable breakage events on long-span cable-stayed bridges under stochastic traffic and wind.” Eng. Struct., 105, 299–315.
Zhou, Y., and Chen, S. (2015d). “Fully coupled driving safety analysis of moving traffic on long-span bridges subjected to crosswind.” J. Wind Eng. Ind. Aerodyn., 143, 1–18.
Zhou, Y., and Chen, S. (2015e). “Vehicle ride comfort analysis with whole-body vibration on long-span bridges subjected to crosswind.” J. Wind Eng. Ind. Aerodyn., 155, 126–140.
Information & Authors
Information
Published In
Journal of Bridge Engineering
Volume 22 • Issue 4 • April 2017
Copyright
© 2016 American Society of Civil Engineers.
History
Received: Oct 29, 2015
Accepted: Aug 24, 2016
Published online: Nov 16, 2016
Published in print: Apr 1, 2017
Discussion open until: Apr 16, 2017
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.