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首页> 外文期刊>International journal of applied mechanics and engineering >PROBABILISTIC SIMULATION OF RESPONSES OF ORTHOTROPIC-DECK BRIDGE UNDER RANDOM LIVE LOAD
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PROBABILISTIC SIMULATION OF RESPONSES OF ORTHOTROPIC-DECK BRIDGE UNDER RANDOM LIVE LOAD

机译：随机活荷载作用下正交各向异性甲板桥梁的概率模拟

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摘要

We present a simulation based study of the probabilistic responses of an orthotropic deck steel bridge subjected to random live load, given the fact that a better understanding of such responses is important for improved design of this class of structures. These structures are gaining increasing popularity for the ease of construction. Probabilistic characterization also provides important measures of structural safety and reliability. With this aim as the eventual goal, we first develop a stochastic model of the live load on bridges based on the available data. Owing to a wide variability in the vehicle (contributing to live loading) data we classify the vehicles into several classes. Individual groups are characterized by the probabilistic measures (mean, standard deviation, distributions). Following previous studies, we adopted power law fluctuations of the velocity spectra in simulating individual vehicle speed and the arrival of vehicles is considered to follow a Poisson process. We then simulate the realization of a random queue on vehicle lanes using the Monte Carlo framework. With this set up of the loading process, we choose a precise finite element technique for modeling of the orthotropic deck (steel). A linear dynamic time history analysis is performed under this loading. Finally, the probabilistic parameters of the response quantities are obtained from these time histories. Parametric sensitivity of the selected response quantities is also presented.
机译：考虑到更好地理解此类响应对于改进此类结构的设计非常重要的事实，我们将对正交各向异性甲板钢桥在随机活荷载作用下的概率响应进行基于模拟的研究。这些结构由于易于施工而越来越受欢迎。概率特征还提供了结构安全性和可靠性的重要指标。以此目标为最终目标，我们首先根据可用数据建立桥上实时荷载的随机模型。由于车辆数据的差异很大（有助于实时加载），我们将车辆分为几类。各个组的特征在于概率测度（均值，标准差，分布）。根据先前的研究，我们在模拟单个车速时采用了速度谱的幂定律波动，并且认为车辆的到来遵循泊松过程。然后，我们使用蒙特卡洛框架模拟在车道上随机排队的实现。通过这种加载过程的设置，我们选择一种精确的有限元技术来对正交异性甲板（钢）进行建模。在此负载下执行线性动态时程分析。最后，从这些时间历史中获得响应量的概率参数。还显示了所选响应量的参数灵敏度。

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