Traffic load patterning on long span bridges: A rational approach

Abstract For highway bridges, current live load models from design standards typically replicate the effects of real traffic streams at a certain return period. Most standards stipulate that the worst load effect should be considered, obtained by patterning the live load on the adverse portion of the influence line only. Certainly, this is a worst-case scenario, but the probability of this occurring is surely very low and daily traffic does not pattern in this manner. This paper examines design standards’ approach to load patterning and proposes a relatively simple approach to better reflect the reality of traffic load patterning. As an illustrative example, traffic microsimulation is adopted to simulate the traffic flows on a hypothetical 1200 m bridge. We consider the possible road topologies that might give rise to design standard loading patterns, showing that it is not possible to achieve the code-implied traffic pattern in reality. The load effects results are extrapolated to 5, 75 and 1000 year return periods, representing typical assessment and design return periods respectively. From these results, a rational and practical load patterning method is proposed, based on traffic topologies obtained from an adverse combination of congested and free flow traffic. It is applied to two case study bridges and the results indicate that our proposal can reduce the traffic loading demand by up to 45%. Such reductions can be invaluable in the design of super-long span bridges, or the assessment of existing bridges.

[1]  Helbing,et al.  Congested traffic states in empirical observations and microscopic simulations , 2000, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[2]  Johannes Veie,et al.  Concept overview of a multi-span suspension bridge on floating foundations , 2017 .

[3]  Ove Ditlevsen,et al.  Stochastic Vehicle‐Queue‐Load Model for Large Bridges , 1994 .

[4]  Andrzej S. Nowak,et al.  The development of live load for long span bridges , 2010 .

[5]  Peter G. Buckland RECOMMENDED DESIGN LOADS FOR BRIDGES , 1981 .

[6]  Li Li,et al.  Calibration of MITSIM and IDM car-following model based on NGSIM trajectory datasets , 2010, Proceedings of 2010 IEEE International Conference on Vehicular Electronics and Safety.

[7]  D. Helbing,et al.  Theoretical vs. empirical classification and prediction of congested traffic states , 2009, 0903.0929.

[8]  Bruno Villoria,et al.  Multi span suspension bridge on floating foundations – behaviour under operation , 2017 .

[9]  Colin Christopher Caprani,et al.  A methodology for calculating congested traffic characteristic loading on long-span bridges using site-specific data , 2017 .

[10]  R. J. Ivy,et al.  Live Loading for Long-Span Highway Bridges , 1954 .

[11]  Khaled Soudki,et al.  Flexural Behavior of Corroded Pretensioned Girders Repaired with CFRP Sheets , 2014 .

[12]  Peter Wagner,et al.  Calibration and Validation of Microscopic Traffic Flow Models , 2004, SimVis.

[13]  Colin Christopher Caprani,et al.  Traffic Microsimulation for Bridge Loading Assessment and Management , 2013 .

[14]  Andrzej S. Nowak,et al.  Reliability-Based Sensitivity Analysis for Prestressed Concrete Girder Bridges , 2013 .

[15]  Martin Treiber,et al.  Calibrating Car-Following Models by Using Trajectory Data , 2008, 0803.4063.

[16]  Peter G Buckland,et al.  Proposed Vehicle Loading of Long-Span Bridges , 1980 .

[17]  Colin Christopher Caprani,et al.  Calibration of a Congestion Load Model for Highway Bridges Using Traffic Microsimulation , 2012 .

[18]  Eugene J. O'Brien,et al.  Load effect of single-lane traffic simulations on long-span bridges , 2010 .

[19]  Alessandro Lipari,et al.  Micro-simulation modelling of traffic loading on long-span bridges , 2013 .

[20]  Xin Ruan,et al.  Characteristic of traffic loading response for multi-span large bridge , 2015 .

[21]  Colin Christopher Caprani,et al.  Long-span bridge traffic loading based on multi-lane traffic micro-simulation , 2016 .

[22]  Colin Christopher Caprani,et al.  Micro-simulation of single-lane traffic to identify critical loading conditions for long-span bridges , 2015 .

[23]  Enrique Castillo Extreme value theory in engineering , 1988 .

[24]  Matt Carter,et al.  Forth Replacement Crossing – Scotland, UK , 2011 .

[25]  Dirk Helbing,et al.  General Lane-Changing Model MOBIL for Car-Following Models , 2007 .

[26]  T F Fwa,et al.  ESTIMATION OF LANE DISTRIBUTION OF TRUCK TRAFFIC FOR PAVEMENT DESIGN , 1995 .

[27]  Henrik O. Madsen,et al.  Load Combinations in Codified Structural Design , 1980 .

[28]  Bruls Alois,et al.  ENV1991 - Part 3: Traffic loads on bridges. Calibration of road load models for road bridges , 1996 .

[29]  B Jacob,et al.  Evaluation of the effects of heavy vehicles on bridges fatigue , 2002 .

[30]  Peter G. Buckland NORTH AMERICAN AND BRITISH LONG-SPAN BRIDGE LOADS , 1991 .

[31]  E. J. OBrien,et al.  The use of micro-simulation for congested traffic load modeling of medium- and long-span bridges , 2012 .

[32]  Gábor Stépán,et al.  Traffic jams: dynamics and control , 2010, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[33]  Colin C. Caprani,et al.  Probalistic analysis of highway bridge traffic loading , 2005 .

[34]  Colin Christopher Caprani,et al.  A pseudo-microsimulation approach for modelling congested traffic loading on long-span bridges , 2018 .

[35]  Colin Christopher Caprani,et al.  Microsimulation Evaluation of Eurocode Load Model for American Long-Span Bridges , 2013 .

[36]  Martin Treiber,et al.  Traffic Flow Dynamics , 2013 .

[37]  Colin Christopher Caprani,et al.  Reliability analysis of a Super-T prestressed concrete girder at serviceability limit state to AS 5100:2017 , 2017 .