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首页> 外文期刊>International Journal of Fatigue >Data-based models for fatigue reliability of orthotropic steel bridge decks based on temperature, traffic and strain monitoring
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Data-based models for fatigue reliability of orthotropic steel bridge decks based on temperature, traffic and strain monitoring

机译：基于温度，交通和应变监测的正交异性钢桥面板疲劳可靠性数据模型

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摘要

A novel methodology is presented for probabilistic fatigue life prediction of welded joints in orthotropic bridge steel decks. Monitoring data were used to specify time-series model parameters for the main drivers of fatigue damage in such structures, namely pavement temperatures and heavy traffic intensities, which influence the stress range distributions at critical locations. Polynomial regression models were developed to quantify the relationship between fatigue loading, derived using S-N principles from strain measurements at welded joints, with pavement temperatures and heavy traffic counts. The different models were integrated within a fatigue reliability framework, in which the uncertainties arising from material properties and fatigue damage at failure were modelled via random variables. A Monte Carlo scheme was then deployed to predict S-N fatigue damage using the fatigue loading regression models and simulated time-series of heavy traffic and pavement temperatures. Thus, fatigue reliability profiles were generated, which accounted for different scenarios in terms of future changes in traffic and pavement temperature. The proposed methodology was illustrated considering actual monitoring outcomes from the Great Belt Bridge (Denmark) with reliability profiles developed for both 'baseline' and 'adverse' scenarios in the context of asset integrity management. The combined effect of higher temperature and heavy traffic levels was shown to result in considerable reductions in fatigue reliability, with a commonly used threshold being reached up to 40 years earlier compared to the baseline 'no change' scenario. However, this reduction was not uniform for all the fatigue details considered, emphasizing the importance of monitoring different locations, based on a thorough understanding of the fatigue behaviour of the orthotropic steel deck.
机译：提出了一种新的方法来预测正交异性桥梁钢甲板焊接接头的概率疲劳寿命。监测数据用于指定此类结构中疲劳损伤的主要驱动因素的时间序列模型参数，即路面温度和繁忙交通强度，这些参数会影响关键位置的应力范围分布。开发了多项式回归模型以量化疲劳载荷之间的关系，该疲劳载荷是使用S-N原理从焊接接头的应变测量，路面温度和大流量计算得出的。将不同的模型集成到疲劳可靠性框架中，其中通过随机变量对材料特性和失效时的疲劳损伤产生的不确定性进行建模。然后，使用疲劳负荷回归模型以及繁忙交通和路面温度的模拟时间序列，部署了蒙特卡洛方案来预测S-N疲劳损伤。因此，生成了疲劳可靠性曲线，其在交通和路面温度的未来变化方面考虑了不同的情况。说明了拟议的方法，其中考虑了大皮带桥（丹麦）的实际监控结果，并针对资产完整性管理的情况为“基准”和“不利”情况开发了可靠性配置文件。结果表明，较高的温度和繁忙的交通水平共同导致疲劳可靠性的显着降低，与基准“不变”的情况相比，通常在40年前就达到了常用阈值。但是，这种减少对于所考虑的所有疲劳细节而言并不是统一的，强调了基于对正交异性钢甲板疲劳性能的透彻了解，监测不同位置的重要性。

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