Modeling same-direction two-lane traffic for bridge loading

O’Brien, Eugene J.; Enright, Bernard

doi:10.1016/j.strusafe.2011.04.004

Cited by 85 publications

(48 citation statements)

References 14 publications

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“…In addition, various other sources provide recommendations for WIM data filtering and validation (FHWA 2001;Pelphrey and Higgins 2006;Tabatabai et al 2009;O'Brien and Enright 2011). Other efforts include those of Raz et al (2004), who proposed a data mining approach for automatically detecting anomalies in WIM data, and Monsere et al (2008), who studied methods for collecting, sorting, filtering, and archiving WIM data to facilitate development of high-quality long-term records.…”

Section: Introductionmentioning

confidence: 99%

Design Live-Load Factor Calibration for Michigan Highway Bridges

2016

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In this study, a reliability-based calibration of live load factors for bridge design specific to the State of Michigan was conducted. Two years of high frequency WIM data from 20 representative state-wide sites were analyzed, and load effects were generated for bridge spans from 6 to 122 m (20 to 400 ft), considering simple and continuous moments and shears, as well as single lane and two lane effects. Seventy-five year statistics for maximum live load were then estimated with probabilistic projection. Bridge girders considered for the calibration included composite steel, prestressed concrete, side-by-side and spread box beams, as well as special long span structural members. In some cases, it was found that Michigan load effects are greater than those previously assumed, often requiring higher load factors than in current use. Moreover, significant variation in the required load factor was found, potentially resulting significant inconsistencies in reliability if a single load factor is used for the design of all bridge types and load effects considered.

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Section: Introductionmentioning

confidence: 99%

Design Live-Load Factor Calibration for Michigan Highway Bridges

2016

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“…It has been noted that the assumptions on weight correlation are entirely based on judgment, as almost no data are available (Kulicki et al 2007). OBrien and Enright (2011) show that correlated traffic gives a better fit to the measured data than models which assume no correlation. Their results lead to the conclusion that correlation may account for up to an 8% increase in lifetime maximum loading.…”

Section: Introductionmentioning

confidence: 93%

“…For example, it is found that there is a significant peak in average GVW in the fast lane when the inter-lane gap is around zero (OBrien and Enright 2011). By definition, gaps become smaller as traffic flow rates increase, but WIM measurements also exhibit some dependence between gaps and GVW (Enright and OBrien 2012).…”

Section: Load Modellingmentioning

confidence: 99%

“…In each scan, if the last truck is greater than 30 tonnes then more trucks are included until the scenario can finish on a slow-lane truck which is less than 30 tonnes (OBrien & Enright 2011). The different scans allow for more variation in the scenarios and capture more scenario configurations.…”

Section: Cl-cr Cl-ir Il-cr Il-irmentioning

confidence: 99%

“…This model is used to emphasise the differences made by realistic traffic introduced in the second example. The realistic traffic load model is based on a traffic 'scenario' model (OBrien and Enright 2011). Scenarios consisting of several vehicles and all the associated properties, including weights and relative positions, are extracted from WIM data and perturbed using Kernel Density estimation.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Spatial time-dependent reliability analysis of reinforced concrete slab bridges subject to realistic traffic loading

Hajializadeh

Stewart

Enright³

et al. 2015

Structure and Infrastructure Engineering

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Effect of uneven multilane truck loading of multigirder bridges on component reliability

Zhou

Liu

Jiao

2020

Structural Concrete

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Premature failure of bridge components, caused by heavy trucks, is a major safety concern. Current studies well characterize the integral structural behavior of bridges under realistic stochastic traffic loading. However, there is little research on the differences in traffic loads over multiple lanes (a worldwide traffic phenomenon) and the resulting difference in the bridge component performance. In this paper, several sets of unidirectional two‐lane, three‐lane, and four‐lane weigh‐in‐motion data are available for the statistical evaluation of typical multigirder concrete bridges with structural types of slab beams, T‐shape beams, and box beams. Lane‐occurrence behavior, volume, load, and weight correlation of trucks are determined to have the largest impact on failure probability. Extreme and equivalent load effects (LEs) under multilane truck loading are calculated to assess bearing capacity and fatigue performance. The greater the number of lanes, the larger the discrepancies of truck volume and weight by lane. The differences in the traffic LE and reliability indices for each girder in the same bridge increase with greater number of lanes, shorter span, and weaker lateral girder connection. These results provide the background of designing or maintaining the bridges to pursue uniform target reliability of each girder component under realistic multilane truck loading.

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Modeling same-direction two-lane traffic for bridge loading

Cited by 85 publications

References 14 publications

Design Live-Load Factor Calibration for Michigan Highway Bridges

Design Live-Load Factor Calibration for Michigan Highway Bridges

Spatial time-dependent reliability analysis of reinforced concrete slab bridges subject to realistic traffic loading

Effect of uneven multilane truck loading of multigirder bridges on component reliability

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