Life expectancy of highway bridges due to traffic load

Sieniawska, R.; Śniady, P.

doi:10.1016/0022-460x(90)90904-e

Cited by 28 publications

(8 citation statements)

References 4 publications

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“…So under the intensive vehicle operating state, carriers to 0.5m in steps of a sample that goes through the bridge, and record every movement of the maximum bending effect. As showed in [15] . The maximum bending moment distribution is shown in Figure 5 The bridges listed in this article have strong representative as they are widely used in practical engineering.…”

Section: Figure 4 Random Vehicle Load Simulation Processmentioning

confidence: 69%

The Improvement of the Design Standard of Overloaded Highway

Yuanming¹,

Zhang²,

Hu³

2016

IJSIA

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Section: Figure 4 Random Vehicle Load Simulation Processmentioning

confidence: 69%

The Improvement of the Design Standard of Overloaded Highway

Yuanming¹,

Zhang²,

Hu³

2016

IJSIA

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“…O'Brien et al proposed a semiparametric fitting procedure to predict the characteristic effects of extreme traffic loads. Sieniawska and Śniady studied the life expectancy of highway bridges with respect to traffic flow. The vehicles were regarded as being of random weight and traveling with the same constant speed.…”

Section: Introductionmentioning

confidence: 99%

Modeling vehicle traffic loads by the 2D compound Poisson process

Liu

et al. 2018

Appl Stoch Models Bus & Ind

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Vehicular loads are an important factor in the fatigue and deterioration of bridges. In this paper, using weight‐in‐motion data from the Nanxi Yangtze river bridge, we propose a novel two‐dimensional (2D) compound Poisson process model of vehicle loads. This model considers the relations between vehicle loads, including vehicle speed and weight, whereby the relationships between these two marginal processes are described by a 2D Lévy copula function. Vehicle loads simulated by the proposed model were then compared with measured vehicle loads. The results show that histograms for vehicle loads simulated by the proposed model are similar to those generated for the measured vehicle loads. Moreover, the theoretical probabilities of vehicle loads are close in value to the empirical probabilities of vehicle loads. In addition, a two‐sample Kolmogorov‐Smirnov test at the significance level of 1% is given, which yields asymptotic p‐values of 3.2966 × 10−4 for vehicle speed and 3.0489 × 10−10 for vehicle weight. These values confirm that the proposed 2D compound Poisson process model is suitable for estimating vehicle loads.

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“…Existing experimental analyses on fatigue damage mechanisms have mainly focused on reinforced concrete beams under non-overloaded conditions [6,7]. However, total vehicle and axial loads frequently exceed the design load of a highway bridge during actual service [8][9][10]. Heavy duty refers to the drastic deterioration of pavement performance under high traffic volume or under cumulative equivalent standard axle that exceeds the general level; heavy duty is mainly manifested as vehicle overload [11].…”

Section: Introductionmentioning

confidence: 99%

Fatigue Behavior of Prestressed Concrete Beams under Overload

Qin¹,

Dou²,

Li³

2017

JESTR

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The random and varied longitudinal and transverse loading positions of vehicles exert different effects on the fatigue performances of bridges. Consequently, bridge components exhibit different structural failure mechanisms under heavy duty. To determine the effect of heavy duty on the fatigue performance of beams, this study conducted a fatigue test with load amplitude and loading method as variables. First, 10 test beams were designed, and the static test was performed on three of the beams. Second, fatigue amplitude was determined on the basis of static test results and actual vehicle data. Constant and variable amplitude loading tests were conducted on the seven remaining beams. Finally, the material properties of prestressed concrete beams under long-term heavy vehicular load were analyzed. Research results demonstrate that all test beams suffered from fatigue failure cause by brittle fracture that initiate in the bottom beam reinforcement. The strain variation of all test beams can be divided into three stages. The residual strain of steel bars is positively correlated with the number of loads. Under the fixed low-load limit, the fatigue life of test beams is shortened by 95% and 98%, respectively, when the upper load limit is 0.75 and 0.8 times of the ultimate load. The fatigue life of test beams under the low-high loading process is 46% shorter than that under the high-low loading process. The conclusions can provide theoretical references for the late performance evaluation and maintenance of prestressed concrete beams.

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Life expectancy of highway bridges due to traffic load

Cited by 28 publications

References 4 publications

The Improvement of the Design Standard of Overloaded Highway

The Improvement of the Design Standard of Overloaded Highway

Modeling vehicle traffic loads by the 2D compound Poisson process

Fatigue Behavior of Prestressed Concrete Beams under Overload

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