Generalized bridge network performance analysis with correlation and time-variant reliability

Structural Safety

Volumn 33, Issue 2, 2011, Pages 155-164

  Bocchini, Paolo ^a   Frangopol, Dan M ^a  

^a Lehigh University   (United States)

Author keywords

Bridge network; Life cycle; Time variant reliability; Transportation network

Indexed keywords

BRIDGE NETWORKS; CORRELATION STRUCTURE; CYCLE PERFORMANCE; EXTERNAL LOADS; MAINTENANCE PLANNING; NETWORK LAYOUT; NETWORK LEVEL; NETWORK PERFORMANCE ANALYSIS; NUMERICAL APPLICATIONS; PERFORMANCE INDICATORS; SERIES-PARALLEL MODEL; STRUCTURAL COMPONENT; TIME VARIANT; TIME-VARIANT RELIABILITY; TRAFFIC FLOW; TRANSPORTATION ENGINEERING; TRANSPORTATION NETWORK;

BENCHMARKING; CIVIL ENGINEERING; LIFE CYCLE; NETWORK PERFORMANCE; RELIABILITY ANALYSIS; TRAFFIC SURVEYS;

QUALITY ASSURANCE;

EID: 79952755691     PISSN: 01674730     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.strusafe.2011.02.002     Document Type: Article

References (56)

1. Lee Y.-J., Song J., Gardoni P. Post-hazard flow capacity of bridge transportation network considering structural deterioration. Safety, reliability and risk of structures, infrastructures and engineering systems 2009, 2894-2901. CRC Press. Furuta, Frangopol, Shinozuka (Eds.).
2. Lee Y-J, Song J, Gardoni P, Lim H-W. Post-hazard flow capacity of bridge transportation network considering structural deterioration of bridges. Struct Infrastruct Eng, in press. doi:10.1080/15732479.2010.493338.
3. Shinozuka M, Zhou Y, Banerjee S, Murachi Y. Cost-effectiveness of seismic bridge retrofit. In: Cruz, Frangopol, Neves, editors. Bridge maintenance, safety, management, life-cycle performance and cost, Taylor and Francis; 2006.
4. Zhou Y., Banerjee S., Shinozuka M. Socio-economic effect of seismic retrofit of bridges for highway transportation networks: a pilot study. Struct Infrastruct Eng 2010, 6(1):145-157.
5. Kim L., Cho H.-N., Cho C. Life cycle performance-based optimal allocation methodology for railroad bridge networks. Safety, reliability and risk of structures, infrastructures and engineering system 2009, 2033-2040. CRC Press. Furuta, Frangopol, Shinozuka (Eds.).
6. Duwadi S.R. Recognizing and reducing vulnerabilities of transportation infrastructure. Bridge maintenance, safety, management and life-cycle optimization 2010, 2620-2624. CRC Press, Taylor and Francis (UK), Philadelphia (PA, USA). Frangopol, Sause, Kusko (Eds.).
7. Gao L., Xie C., Zhang Z. Network-level multi-objective optimal maintenance and rehabilitation scheduling. Proceedings of the 89th annual meeting of the transportation research board of the national academies 2010, TRB, Washington (DC, USA).
8. Golroo A., Mohaymany A.S., Mesbah M. Reliability based investment prioritization in transportation networks. Proceedings of the 89th annual meeting of the transportation research board of the national academies 2010, TRB, Washington (DC, USA).
9. Dueñas-Osorio L., Craig J.I., Goodno B.J. Seismic response of critical interdependent networks. Earthquake Eng Struct Dynam 2007, 36(2):285-306.
10. Dueñas-Osorio L., Craig J.I., Goodno B.J., Bostrom A. Interdependent response of networked systems. J Infrastruct Syst 2007, 13(3):185-194.
11. Dueñas-Osorio L., Vemuru S.M. Cascading failures in complex infrastructure systems. Struct Safety 2009, 31(2):157-167.
12. Hernández-Fajardo I., Dueñas-Osorio L. Time sequential evolution of interdependent lifeline systems. Safety, reliability and risk of structures, infrastructures and engineering systems 2009, 2864-2871. CRC Press. Furuta, Frangopol, Shinozuka (Eds.).
13. Dueñas-Osorio L., Rojo J. Probability models for the reliability metrics of practical power distribution networks. Safety, reliability and risk of structures, infrastructures and engineering systems 2009, 2856-2863. CRC Press. Furuta, Frangopol, Shinozuka (Eds.).
14. Dueñas-Osorio L., Rojo J. Reliability assessment of lifeline systems with radial topology. Comput-Aided Civil Infrastruct Eng 2011, 26(2):111-128.
15. Peeta S., Zhang P. Modeling infrastructure interdependencies: theory and practice. Safety, reliability and risk of structures, infrastructures and engineering systems 2009, 2872-2880. CRC Press. Furuta, Frangopol, Shinozuka (Eds.).
16. Alexoudi M.N., Kakderi K.G., Pitilakis K.D. Seismic risk and hierarchy importance of interdependent lifeline systems using fuzzy reasoning. Safety, reliability and risk of structures, infrastructures and engineering systems 2009, 2881-2888. CRC Press. Furuta, Frangopol, Shinozuka (Eds.).
17. Kim Y., Song J., Spencer B.F., Elnashai A.S. Seismic risk assessment of complex interacting infrastructures using matrix-based system reliability method. Safety, reliability and risk of structures, infrastructures and engineering systems 2009, 2889-2893. CRC Press. Furuta, Frangopol, Shinozuka (Eds.).
18. Augusti G., Ciampoli M., Frangopol D.M. Optimal planning of retrofitting interventions on bridges in a highway network. Eng Struct 1998, 20(11):933-939.
19. Akgül F. Lifetime system reliability prediction for multiple structure types in a bridge network. Ph.D. Thesis, University of Colorado at Boulder; 2002.
20. Akgül F., Frangopol D.M. Computational platform for predicting lifetime system reliability profiles for different structure types in a network. J Comput Civil Eng 2004, 18(2):92-104.
21. Liu M., Frangopol D.M. Balancing connectivity of deteriorating bridge networks and long-term maintenance cost through optimization. J Bridge Eng 2005, 10(4):468-481.
22. Liu M., Frangopol D.M. Time-dependent bridge network reliability: novel approach. J Struct Eng 2005, 131(2):329-337.
23. Liu M., Frangopol D.M. Optimizing bridge network maintenance management under uncertainty with conflicting criteria: life-cycle maintenance, failure, and user costs. J Struct Eng 2006, 132(11):1835-1845.
24. Bocchini P., Frangopol D.M. A stochastic computational framework for the joint transportation network fragility analysis and traffic flow distribution under extreme events. Probabilist Eng Mech 2011, 26(2):182-193.
25. Bocchini P., Frangopol D.M. On the applicability of random field theory to transportation network analysis. Bridge maintenance, safety, management and life-cycle optimization 2010, 3025-3032. CRC Press, Taylor and Francis (UK). Frangopol, Sause, Kusko (Eds.).
26. Akgül F., Frangopol D.M. Lifetime performance analysis of existing steel girder bridge superstructures. J Struct Eng 2004, 130(12):1875-1888.
27. Akgül F., Frangopol D.M. Lifetime performance analysis of existing prestressed concrete bridge superstructures. J Struct Eng 2004, 130(12):1889-1903.
28. Akgül F., Frangopol D.M. Lifetime performance analysis of existing reinforced concrete bridges. I: Theory. J Infrastruct Syst 2005, 11(2):122-128.
29. Akgül F., Frangopol D.M. Lifetime performance analysis of existing reinforced concrete bridges. II: Application. J Infrastruct Syst 2005, 11(2):129-141.
30. Stanish KD, Hooton RD, Thomas MDA. Testing the chloride penetration resistance of concrete: a literature review. FHWA Contract DTFH61-97-R-00022, Dep. Of Civil Eng., University of Toronto.
31. McCuen R., Albrecht P. Composite modeling of atmospheric corrosion penetration data. Application of accelerated corrosion tests to service life prediction of materials 1994, 65-102. American Society for Testing and Materials. Cragnolino, Sridhar (Eds.).
32. AASHTO. Standard specifications for highway bridges, 16th ed., Washington (DC): American Association of State Highway and Transportation Officials; 1996.
33. Ang A.H., Tang W.H. Probability concepts in engineering plannig and design 1984, John Wiley and sons, New York.
34. DHS, HAZUS-MH MR4 earthquake model user manual, Whashington (DC): Department of Homeland Security, Federal Emergency Management Agency, Mitigation Division; 2009.
35. J.B. Mander, N. Basöz, Seismic fragility curve theory for highway bridges, in: Technical council on lifeline earthquake engineering monograph (proceedings of the 1999 5th US conference on lifeline earthquake engineering: optimazing post-earthquake lifeline system reliability), ASCE, 1999. p. 31-40.
36. Emrich L.J., Piedmonte M.R. A method for generating high-dimensional multivariate binary variates. Am Statist 1991, 45(4):302-304.
37. Bethge M., Berens P. Near-maximum entropy models for binary neural representations of natural images. Advances in neural information processing systems 20: proceedings of the 2007 conference 2007, MIT Press. Platt, Koller, Singer, Roweis (Eds.).
38. Gibbons A.M. Algorithmic graph theory 1985, Cambridge University Press.
39. McNally M.G. The four-step model. Handbook of transport modelling 2000, 704. Emerald Group Publishing, [chapter 2]. D.A. Hensher, K.J. Button (Eds.).
40. Levinson D.M., Kumar A. Multimodal trip distribution: structure and application. Trans Res Rec 1994, 1466:124-131.
41. Warshall S. A theorem on boolean matrices. J Assoc Comput Mach 1962, 9(1):11-12.
42. Floyd R.W. Algorithm 97: shortest path. Commun Assoc Comput Mach 1962, 5(6):345.
43. Martin WA, McGuckin NA. National research council, american association of state highway and transportation officials, federal highway administration, travel estimation techniques for urban planning. national cooperative highway research program (NCHRP) report 365, Washington (DC): National Academy Press; 1998.
44. Transportation Research Board. Highway capacity manual. Washington (DC): Transportation Research Board of the National Academies; 2000.
45. Evans S.P. Derivation and analysis of some models for combining trip distribution and assignment. Trans Res 1976, 10(1):37-57.
46. Frank M., Wolfe P. An algorithm for quadratic programming. Nav Res Logist Quart 1956, 3(1-2):95-110.
47. Lee C, Machemehl RB. Combined traffic signal control and traffic assignment: algorithms, implementation and numerical results. Research ieport SWUTC/05/472840-00074-1, Southwest Region University Transportation Center, Center for Transportation Research University of Texas at Austin; 2005.
48. Wardrop JG. Some theoretical aspects of road traffic research. In: ICE proceedings, engineering divisions, vol. 1. 1952. p. 325-362.
49. FHWA. National Bridge Inventory, Federal highway administration, <>; 2009 [visited on 11.06.10]. http://www.fhwa.dot.gov/bridge/nbi.htm.
50. Akgül F., Frangopol D.M. Rating and reliability of existing bridges in a network. J Bridge Eng 2003, 8(6):383-393.
51. Akgül F., Frangopol D.M. Bridge rating and reliability correlation: comprehensive study for different bridge types. J Struct Eng 2004, 130(7):1063-1074.
52. Akgül F., Frangopol D.M. Time-dependent interaction between load rating and reliability of deteriorating bridges. Eng Struct 2004, 26(12):1751-1765.
53. Liu M., Frangopol D.M. Probability-based bridge network performance evaluation. J Bridge Eng 2006, 11(5):633-641.
54. Colorado Department of Transportation. Highway system traffic volume map, CDOT, Denver (CO); 2008.
55. Bowman A.W., Azzalini A. Applied smoothing techniques for data analysis 1997, Oxford University Press.
56. Bocchini P., Frangopol D.M. A probabilistic computational framework for bridge network optimal maintenance scheduling. Reliab Eng Syst Safety 2011, 96(2):332-349.