Comparision of Constant-Span and Influence Line Methods for Long-Span Bridge Load Calculations
DOI:
https://doi.org/10.3846/bjrbe.2016.10Keywords:
bridge, data cleaning, loads, load modelling, long-span bridges, Weigh-In-Motion (WIM).Abstract
Traffic load models available in building standards are most often developed for short or medium span bridges, however, it is necessary to develop traffic load models just for long span bridges, because the most unfavourable traffic situations are different. Weigh-in-Motion system data from highway A1 and A3 were used in this study. Measurement errors from data were cleaned using two groups of filters. The first group was based on vehicle validity codes recorded by both systems, if any circumstances might have influenced the measurements, the second group cleaned data using general filters for all vehicles and specific filters for trucks and cars. Additionally, vehicles were adjusted for influence of temperature. Data cleaning increased the average gross vehicle, so it could be considered as a conservative choice. Six traffic scenarios, each with different percentage of cars in the traffic, were made to assess the difference in loads from different traffic compositions. Traffic loads for long-span bridges were calculated using two approaches: the first assuming constant span length, the second, using influence lines from a bridge currently in design stage. Gumbel distribution were fitted to the calculate loads and they were extrapolated to probability of exceedance of 5% in 50 year period. Results show that influence line approach yield larger loads than those from constant-span. Both approaches result in loads larger than ones in Eurocode 1 Load Model 1, however, increase might have been caused by an increase in vehicle weight.
References
Chen, S. R.; Wu, J. 2011. Modeling Stochastic Live Load for Long- Span Bridge Based on Microscopic Traffic, Computers and Structures 89(9–10): 813–824. http://dx.doi.org/10.1016/j.compstruc.2010.12.017
Enright, B.; Carey, C.; Caprani, C. 2013. Microsimulation Evaluation of Eurocode Load Model for American Long-Span Bridges, Journal of Bridge Engineering 18: 1252–1260. http://dx.doi.org/10.1061/(ASCE)BE.1943-5592.0000546
Gajda, J.; Sroka, R.; Zeglen, T.; Burnos, P. 2013. The Influence of Temperature on Errors of Wim Systems Employing Piezoelectric Sensors, Metrology and Measurement Systems 20(2): 171–182. http://dx.doi.org/10.2478/mms-2013-0015
Getachew, A. 2003. Traffic Load Effects on Bridges. Statistical Analysis of Collected and Monte Carlo Simulated Vehicle Data: PhD thesis. Stockholm: Royal Institute of Technology. 50–55. Available from Internet: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.13.5299&rep=rep1&type=pdf
Hayrapetova, A. A.; O.Connor, A. J.; OBrien, E. J. 2012. Traffic Load Models for Long Span Bridges. Stresa, Lake Maggiore; Italy, Taylor & Francis, 2589−2596.
Hwang, E. S.; Lee, K. T.; Kim, D. Y. 2012. Modelling of Truck Traffic for Long Span Bridges. Stresa, Lake Maggiore; Italy, Taylor & Francis Group, 1100–1107.
Lutomirska, M. 2009. Live Load Models for Long Span Bridges: PhD Thesis. Lincoln, University of Nebraska, 61–67. Available from Internet: http://digitalcommons.unl.edu/cgi/viewcontent.cgi?article=1000&context=civilengdiss
Mai, D.; Turochy, R. E.; Timm, D. H. 2013. Quality Control of Weigh-in-Motion Data Incorporating Threshold Values and Rational Procedures, Transportation Research Part C 36: 116– 124. http://dx.doi.org/10.1016/j.trc.2013.08.012
Nowak, A. S.; Lutomirska, M.; Sheikh Ibrahim, F. I. 2010. The Development of Live Load for Long Span Bridges, Bridge Structures 6(1–2): 73–79.
OBrien, E.; Enright, B.; Getachew, A. 2010. Importance of the Tail in Truck Weight Modeling for Bridge Assessment, Journal of Bridge Engineering 15(2): 210–213. http://dx.doi.org/10.1061/(ASCE)BE.1943-5592.0000043
OBrien, E. J.; Enright, B.; Leahy, C. 2013. The Effect of Truck Permitting Policy on US Bridge Loading. New York, NY; United States, Taylor & Francis, 3761–3766.
Paeglitis, A.; Paeglitis, A. 2014. Traffic Load Models for Latvian Road Bridges with Span Length up to 30 m, The Baltic Journal of Road and Bridge Engineering 9(2): 139–145. http://dx.doi.org/10.3846/bjrbe.2014.18
Sedlacek, G.; Merzenich, G.; Paschen, M.; Bruls, A.; Sanpaolesi, L.; Croce, P.; Calgaro, J. A.; Pratt, M.; Jacob, M. Leendertz, v. de Boer; Vrouwenfelder, A.; Hanswille, G. 2008. Background Document to EN 1991 − Part 2 − Traffic Loads for Bridges − and Consequences for the Design. JRC European Commission. 109 p.
Sivakumar, B.; Ghosn, M.; Moses, F. 2011. Protocols for Collecting and Using Traffic Data in Bridge Design. National Cooperative Highway Research Program (NCHRP) Report 683, Washington, D. C.: Lichtenstein Consulting Engineers, Inc.
Sivakumar, B.; Sheikh Ibrakhim, F. I. 2007. Enhancement of Bridge Live Loads Using Weigh-in-Motion Data, Bridge Structures 3(3–4): 193–204. http://dx.doi.org/10.1080/15732480701515386
Žnidarič, A.; Kreslin, M., Lavrič, I.; Kalin, J. 2012. Modeling Traffic Loads on Bridges, a Simplified Approach Using Bridge- WIM Measurements. Dallas: John Wiley & Sons: 418–428.
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