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VALIDATION OF SCENARIO MODELLING FOR BRIDGE LOADING

机译:桥梁荷载的情景模型验证

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摘要

Accurate estimates of characteristic bridge load effects are required for efficient design and assessment of bridges, and long-run traffic simulations are an effective method for estimating the effects. For multi-lane same-direction traffic, truck weights and locations on the bridge are correlated and this affects the calculated load effects. Scenario Modelling is a recently developed method, which uses weigh-in-motion data to simulate multi-lane same-direction traffic while maintaining location and weight correlations. It has been unclear however, whether the method may produce unrealistic driver behaviour when extrapolating beyond the weigh-in-motion measuring period. As weigh-in -motion databases with more than about a year of data are not available, a microsimulation traffic model, which can simulate driver behaviour, is used here to assess the accuracy of extrapolating traffic effects using Scenario Modelling. The microsimulation is used to generate an extended reference dataset against which the results of Scenario Modelling are compared. It is found that the characteristic load effects obtained using Scenario Modelling compare well with the reference dataset. As a result, for the first time researchers and practitioners can model two-lane same-direction traffic loading on bridges while being confident that the approach is generating accurate estimates of characteristic load effects as well as effectively reproducing the complex traffic correlations involved.
机译:为了有效地设计和评估桥梁,需要准确估计特征桥梁荷载效应,而长期的交通模拟是评估效应的有效方法。对于多车道同向交通,卡车的重量和桥上的位置是相关的,这会影响计算得出的载荷效应。场景建模是最近开发的一种方法,它使用运动中权重数据来模拟多车道同向流量,同时保持位置和重量的相关性。然而,尚不清楚该方法在推算运动称重测量周期后是否会产生不现实的驾驶员行为。由于尚无法提供大约一年以上数据的动态称重数据库,因此在这里使用可以模拟驾驶员行为的微观模拟交通模型来评估使用场景建模推断交通影响的准确性。微观仿真用于生成扩展的参考数据集,将其与方案建模的结果进行比较。发现使用场景建模获得的特征载荷效应与参考数据集具有很好的比较。结果,研究人员和从业人员首次可以对桥梁上的双车道相同方向的交通负载进行建模,同时确信该方法可以生成对特征负载影响的准确估计,并可以有效地再现所涉及的复杂交通相关性。

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