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Civil-Comp Proceedings
ISSN 1759-3433 CCP: 75
PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL STRUCTURES TECHNOLOGY Edited by: B.H.V. Topping and Z. Bittnar
Paper 147
Critical Loading Events for the Assessment of Medium Span Bridges C.C. Caprani+, S.A. Grave*, E.J. O'Brien+ and A.J. O'Connor*
+University College Dublin, Ireland *Trinity College Dublin, Ireland C.C. Caprani, S.A. Grave, E.J. O'Brien, A.J. O'Connor, "Critical Loading Events for the Assessment of Medium Span Bridges", in B.H.V. Topping, Z. Bittnar, (Editors), "Proceedings of the Sixth International Conference on Computational Structures Technology", Civil-Comp Press, Stirlingshire, UK, Paper 147, 2002. doi:10.4203/ccp.75.147
Keywords: bridges, loading, traffic, trucks, statistics, simulation.
Summary
This paper describes the simulation of free-flowing traffic across bridges to predict
the characteristic values for bridge load effects such as bending moment and shear
force. It is generally assumed that the one- and two-truck free-flowing events are the
most important for short to medium span two-lane bridges. This assumption is tested
here. It is shown that, up to 50 m span, two or three trucks present on the bridge
simultaneously are generally the critical free-flowing load case.
Real-time vehicle weights and frequencies were measured at a site in France using WIM technology. The data was analysed to determine the parameters of the statistical distributions that characterise that traffic flow [1]. Monte-Carlo simulation is used to generate a traffic file whose statistical distributions closely match those of the measured data. The simulations use influence lines to calculate the value of the load effects for any position and arrangement of truck(s). In this study two load effects were considered:
It is clear in Figure 147.1 that the implications of neglecting three-truck events depends quite significantly on the effect considered. As the same traffic was used, this can only be attributed to the characteristics of the influence line under consideration. The influence line for Effect 2 has a less pronounced peak than Effect 1. In particular, the length for which the influence line exceeds 80 44 a greater chance that three trucks may be located in the critical zone to induce a larger effect than two trucks. This fact may account for the differences between Effect 1 and 2 in Figure 147.1. The authors conclude that, in assessing site-specific bridge loading for bridge lengths up to 50 m and in free flowing situations, both two- and three-truck events should be modelled.
References
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