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基于健康监测的平行钢丝斜拉索疲劳可靠性评定
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摘要
斜拉索作为斜拉桥主要的受力构件,由于长期承受交变载荷并常暴露于跨河跨海的自然环境中,易遭受腐蚀损伤和疲劳累积损伤,严重威胁着斜拉桥服役安全。结构健康监测技术是保障大型桥梁服役安全的有效手段之一,引起了国内外众多研究者的兴趣,基于健康监测技术的桥梁损伤识别、模型修正、安全评定等内容逐步成为研究的重点。本文充分利用健康监测技术获得的斜拉索服役信息,着重研究了基于健康监测的斜拉索疲劳性能退化关系和疲劳可靠性评定等。主要内容如下:
     首先,对疲劳分析方法进行了研究,选择通过雨流计数法对智能拉索获得的斜拉索荷载效应-时程数据进行分类,建立基于Miner线性累积损伤理论的等效疲劳荷载效应处理方法。
     然后,研究斜拉索腐蚀的机理和评定方法及断丝监测手段等,并建立了相关的抗力退化模型。腐蚀钢丝及腐蚀斜拉索疲劳寿命均服从Weibull分布,结合腐蚀拉索试验和统计结果合理建立腐蚀斜拉索S-N曲线退化模型,成为疲劳寿命分析的基础。定义广义的断丝监测精确率,断丝数量符合成功概率为断丝率的二项分布;根据断丝监测随机性的具体特征,由共轭分布办法确定先验分布,并对监测精确率、断丝数量、断丝时间序列进行了Bayes更新。由此得到了包含断丝监测信息的断丝数的分布函数,分析了函数中断丝监测精确率及斜拉索内钢丝数量的对后验结果的影响。
     最后,本章推导出基于健康监测的平行钢丝斜拉索疲劳寿命Weibull分布的具体形式,由此可以计算斜拉索服役期的失效概率及可靠指标。对某斜拉索的疲劳寿命评定的算例表明,随着拉索服役年限的增加,抗疲劳性能不断衰退;在疲劳荷载、腐蚀共同作用下,拉索的可靠指标下降速度很快,疲劳极限状态对斜拉索及斜拉桥的安全起控制作用。
Stay cable, an important load-bearing element of cable-stayed bridges, is easy to be injured by corrosion and external loads. This is a great threaten to the on-work stay cable bridges. The health monitoring of these bridges is an effective way to make sure the safety of them and the researching focuses of this method now are load and damage identification, performance assessment and so on. In this paper, researches on the performance degradation relationship and reliability assessment of the stay cables with data from real-time monitoring are introduced. The main contents are as follows:
     First, research on fatigue analyzing is carried out. By classifying the load effect datum from smart cable using rain-flow counting method, an equivalent method to deal with fatigue loads based on Miner linear cumulative damage theory is established.
     Then, corrosion mechanism, assessing method and way to monitor the broken cables are researched and various degradation models are obtained. It is found that corroded cables and their average fatigue lives follow Weibull distribution. S-N curve degradating model is set up from considering fatigue experiments of corrosion cables and statistic datum. These two points are the basis for fatigue analyzing. With the definition of the accuracy of rupture detection, the amount of broken cables follows Binomial distribution with probability of ruptured wires as success probability. According to the main characters of the broken cables’monitoring, the prior distribution isdetermined bye conjugate distribution and the monitoring accuracy, amount of broken cables, rupture time series of wires are refreshed with Bayes method. By doing this, amount distribution function with monitoring information of the broken cables is given and analyzed.
     In the last part, this paper releases Weibull distribution function of parallel wire stay cable fatigue life, based on health monitoring, which can be used to calculate the probability of failure in service period and the reliability index. It is showed by a certain example that with the service life of the cables getting longer, their anti-fatigue performance is decaying. Because of the interaction of external loads and corrosion, the reliability index decays very quickly. And fatigue limit-state will take control of the safety of the cables and bridges.
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