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Weigh-in-Motion load effects and statistical approaches for development of live load factors

  • Yanik, Arcan (School of Civil and Construction Engineering, Oregon State University) ;
  • Higgins, Christopher (School of Civil and Construction Engineering, Oregon State University)
  • Received : 2019.07.11
  • Accepted : 2020.05.09
  • Published : 2020.10.10

Abstract

The aim of this paper is to simply present live load factor calculation methodology formulation with the addition of a simple new future load projection procedure to previously proposed two methods. For this purpose, Oregon Weigh-in-Motion (WIM) data were used to calculate live load factors by using WIM data. These factors were calculated with two different approaches and by presenting new simple modifications in these methods. A very simple future load projection method is presented in this paper. Using four different WIM sites with different average daily truck traffic (ADTT) volume, and all year data, live load factors were obtained. The live load factors, were proposed as a function of ADTT. ADTT values of these sites correspond to three different levels which are approximately ADTT= 5,000, ADTT = 1,500 and ADTT ≤ 500 cases. WIM data for a full year were used from each site in the calibration procedure. Load effects were projected into the future for the different span lengths considering five-year evaluation period and seventy-five-years design life. The live load factor for ADTT=5,000, AASHTO HS20 loading case and five-year evaluation period was obtained as 1.8. In the second approach, the methodology established in the Manual for Bridge Evaluation (MBE) was used to calibrate the live load factors. It was obtained that the calculated live load factors were smaller than those in the MBE specifications, and smaller than those used in the initial calibration which did not convert to the gross vehicle weight (GVW) into truck type 3S2 defined by AASHTO equivalents.

Keywords

Acknowledgement

The research described in this paper was partially supported by the Oregon Department of Transportation (ODOT). Any opinions and conclusions are those of the authors and do not necessarily reflect the views of the supporter.

References

  1. AASHTO (2008), "The Manual for Bridge Evaluation First Edition", American Association of State Highway and Transportation Officials., Washington, D.C., USA.
  2. AASHTO (2003) "Manual for Condition Evaluation and Load and Resistance Factor Rating (LRFR) of Highway Bridges", American Association of State Highway and Transportation Officials, Washington, D.C., USA.
  3. AASHTO (2012), "LRFD Bridge Design Specifications", Customary U.S. Units, American Association of State Highway and Transportation Officials, Washington, D.C., USA.
  4. Anitori, G., Casas, R. J. and Ghosn M. (2017), "WIM-based live-load model for advanced analysis of simply supported short-and medium-span highway bridges", J. Bridge Eng., 22(10). https://doi.org/10.1061/(ASCE)BE.1943-5592.0001081.
  5. Caers, J. and Maes, M.A. (1998), "Identifying tails, bounds and end-points of random variables", Struct. Saf., 20, 1-23. https://doi.org/10.1016/S0167-4730(97)00036-2.
  6. Chan, T.H., Miao, T.J. and Ashebo, D.B. (2005), "Statistical models from weigh-in-motion data", Struct. Eng. Mech., 20(1), 85-110. http://dx.doi.org/10.12989/sem.2005.20.1.085.
  7. Chen, B., Ye, Z. N., Chen, Z. and Xie, X. (2018), "Bridge vehicle load model on different grades of roads in China based on Weigh-in-Motion (WIM) data", Measurement, 122, 670-678. https://doi.org/10.1016/j.measurement.2018.03.005.
  8. D'Angelo, L. and Nussbaumer, A. (2015), "Reliability based fatigue assessment of existing motorway bridge", Struct. Saf., 57, 35-42. https://doi.org/10.1016/j.strusafe.2015.07.001.
  9. Ditlevsen, O. (1988), "Distribution of extreme truck weights", Struct. Saf., 5, 145-148. https://doi.org/10.1016/0167-4730(88)90022-7.
  10. Fu, G., Van de Lindt, J.W., Pei, S., Reynaldo, M.P. Jr, and Buddhawanna, S. (2006), "LRFD Load Calibration for State of Michigan Trunkline Bridges", Report No: RC-1466; Michigan Department of Transportation, Michigan, USA.
  11. Ghasemi, S.H. and Nowak, A.S. (2016), "Reliability analysis for serviceability limit state of bridges concerning deflection criteria", Struct. Eng. Int. 26(2), 168-175. https://doi.org/10.2749/101686616X14555428758722.
  12. Jeon, J.S., Shafieezadeh, A. and DesRoches, R. (2018), "Component fragility assessment of a long, curved multi-frame bridge: Uniform excitation versus spatially correlated ground motions", Struct. Eng. Mech., 65(5), 633-644. http://dx.doi.org/10.12989/sem.2018.65.5.633.
  13. Kaloop, M.R., Hwang, W.S., Elbeltagi, E., Beshr, A. and Hu, J.W. (2019), "Evaluation of Dorim-Goh bridge using ambient trucks through short-period structural health monitoring system", Struct. Eng. Mech., 69(3), 347-359. http://dx.doi.org/10.12989/sem.2019.69.3.347.
  14. Kwon, O., Kim, E., Orton, S., Salim, H. and Hazlett, T. (2011), "Calibration of the live load factor in LRFD design guidelines", Project 2a Report; Missouri Department of Transportation, Jefferson City, MO, USA.
  15. Miao, F. and Ghosn, M. (2016), "Reliability-based Analysis of the Progressive Collapse of Bridges", Struct. Saf., 63, 33-46. https://doi.org/10.1016/j.strusafe.2016.05.004.
  16. Moses, F. (2001), "Calibration of Load Factors for LRFR Bridge Evaluation", NCHRP Report 454; Transportation Research Board, National Research Council, Washington, D.C., USA.
  17. Nowak A.S. (1999), "Calibration of LRFD Bridge Design Code", NCHRP Report 368; Transportation Research Board, National Research Council, Washington, DC.
  18. Nowak A.S. (1993), "Live Load Model for Highway Bridges", Struct. Saf., 13, 53-66. https://doi.org/10.1016/0167-4730(93)90048-6.
  19. ODOT (2019a), Load Rating; Oregon Department of Transportation (ODOT), Salem, Oregon, USA. https://www.oregon.gov/ODOT/Bridge/Pages/Load-Rating.aspx
  20. ODOT (2019b), SHV_posting; Oregon Department of Transportation (ODOT), Salem, Oregon, USA. https://www.oregon.gov/ODOT/MCT/Documents/SHV_posting.pdf
  21. Pelphrey, J., Higgins, C., Sivakumar, B., Groff, R. L., Hartman, B. H., Charbonneau, J. P. and Johnson, B.V. (2008). "State-specific LRFR live load factors using weigh-in-motion data", J. Bridge. Eng., 13(4), 339-350. https://doi.org/10.1061/(ASCE)1084-0702(2008)13:4(339).
  22. Soto, G., Hernandez-Martinez, A. and Valdes-Vazquez, J.G. (2015), "Probabilistic assessment of a design truck model and live load factor from weigh-in-motion data for Mexican Highway bridge design", Can. J. Civil Eng., 42(11), 970-974. https://doi.org/10.1139/cjce-2015-0216.
  23. Stewart, M.G. (2018), "Reliability-based load factor design model for explosive blast loading", Struct. Saf. 71, 13-23. https://doi.org/10.1016/j.strusafe.2017.10.010.
  24. Tabatabai, H., Titi, H. and Zhao, J. (2017). "WIM-based assessment of load effects on bridges due to various classes of heavy trucks", Eng. Struct., 140, 189-198. https://doi.org/10.1016/j.engstruct.2017.02.060.
  25. Tabsh, S.W. and Mitchell, M.M. (2016), "Girder distribution factors for steel bridges subjected to permit truck or super load", Struct. Eng. Mech., 60(2), 237-249. https://doi.org/10.12989/sem.2016.60.2.237.
  26. Yan, D., Yuan, L., Ming, Y. and Naiwei, L. (2017), "Lifetime fatigue reliability evaluation of short to medium span bridges under site-specific stochastic truck loading", Adv. Mech. Eng., 9(3), 1-12. https://doi.org/10.1177/1687814017695047.
  27. Yanik, A. and Higgins, C. (2019). "Reliability Analysis of Oregon Bridges Using Weigh-in-Motion (WIM) Data" El-Cezeri J. Sci. Eng., 6(3), 736-747. https://doi.org/10.31202/ecjse.577400.
  28. Yanik, A. and Higgins, C. (2020). "A Monte-Carlo Simulation for the Estimation of Side-by-Side Loading Events on Oregon Bridges", J. Polytech. Politeknik Dergisi, 23(1), 53-60. https://doi.org/10.2339/politeknik.469495.
  29. Ye, X.W., Xi, P.S., Su, Y.H. and Chen, B. (2017), "Analysis and probabilistic modeling of wind characteristics of an arch bridge using structural health monitoring data during typhoons", Struct. Eng. Mech., 63(6), 809-824.http://dx.doi.org/10.12989/sem.2017.63.6.809
  30. Yurdakul, M. and Ates, S. (2018), "Stochastic responses of isolated bridge with triple concave friction pendulum bearing under spatially varying ground motion", Struct. Eng. Mech., 65(6), 771-784. http://dx.doi.org/10.12989/sem.2018.65.6.771.
  31. Zhou, Y., Ma, Z. J., Zhao, Y., Shi, X. and He, S. (2015), "Improved definition of dynamic load allowance factor for highway bridges", Struct. Eng. Mech., 54(3), 561-577. http://dx.doi.org/10.12989/sem.2015.54.3.561.
  32. Zhou, J., Shi, X., Caprani, C.C. and Ruan, X. (2018), "Multi-lane factor for bridge traffic load from extreme events of coincident lane load effects", Struct. Saf., 72, 17-29. https://doi.org/10.1016/j.strusafe.2017.12.002
  33. Zhou, J., Shi, X., Zhang, L. and Sun, Z. (2019), "Traffic control technologies without interruption for component replacement of long-span bridges using microsimulation and site-specific data", Struct. Eng. Mech., 70(2), 169-178. http://dx.doi.org/10.12989/sem.2019.70.2.169.
  34. Zokaie, T., (2000), "AASHTO-LRFD Live Load Distribution Specifications", J. Bridge. Eng., 5(2), 131-138. https://doi.org/10.1061/(ASCE)1084-0702(2000)5:2(131).
  35. Zokaie, T., Osterkamp, T.A. and Imbsen, R.A. (1992), "Distribution of wheel loads on highway bridges, Proposed changes in AASHTO", NCHRP Project 12-26/1; Sacramento, CA, USA.