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大跨悬索桥基于混合气候颤振风险的主梁架设施工流程优化
马腾, 陈炳耀, 崔巍, 陈焕勇, 宋神友, 赵林
清华大学学报(自然科学版) ›› 2025, Vol. 65 ›› Issue (7) : 1284-1290.
PDF(5635 KB)
PDF(5635 KB)
大跨悬索桥基于混合气候颤振风险的主梁架设施工流程优化
Erection procedure optimization of a long-span suspension bridge considering flutter risk in mixed wind climates
在悬索桥主梁架设阶段,由于结构质量和刚度等参数持续变化,因此桥梁主梁的颤振临界风速不断演变。同时,由于桥址处的混合气候风环境也随季节连续变化,因此为准确评估混合气候悬索桥主梁的颤振风险,该文提出台风与季风混合气候条件下,悬索桥主梁架设施工流程优化分析框架,总结了施工期颤振风险分析方法,并以中国南部沿海深中通道伶仃洋大桥为例进行阐明。该文采用全桥气动弹性模型进行风洞试验,获得了不同施工阶段的主梁颤振临界风速,并通过台风模拟和气象站风速统计回归,按施工周期分别迭代分析了台风和良态风的极值风速。研究结果表明:伶仃洋大桥在连续施工过程中,架设起始时间若选择特定月份,则会遭遇最小的颤振失效风险;若选择最不利施工时间,则颤振风险将呈指数级增加。在施工时间不受限的情况下,优化施工流程是传统结构和气动措施之外的有力补充,尤其是在混合气候模式下,更容易体现优化施工流程的优势。
Objective: During the erection stage of suspension bridges, the critical flutter wind speed varies continuously owing to changes in structural dynamic properties, including mass and stiffness. Concurrently, the wind climate fluctuates seasonally or even monthly throughout the bridge erection process. To evaluate the flutter risk of suspension bridges exposed to varying wind conditions, a framework is proposed to optimize the deck erection timeline under complex wind climates, with a summary of the flutter risk flow. Methods: The aerodynamic flutter stability for each construction stage was tested by full-model wind tunnel tests. The time-varying wind climate is represented as an extreme wind speed annual exceedance probability distribution function for each month. Data for synoptic wind speed analysis were extracted from the National Oceanic and Atmospheric Administration (NOAA) Global Integrated Surface Dataset, while tropical cyclone wind speeds were modeled using Vickery's full-track Monte Carlo simulations. The mixed extreme wind speed, resulting from the combination of tropical cyclones and monsoons, was calculated using probability theory for independent events. An optimization algorithm was used to determine the optimal deck erection starting timeline to minimize on-site flutter probability during the entire deck erection construction process. Results: Two specific analytical methods and visualizations were proposed. The flutter risk flow illustrates the flutter performance of a single program, while the erection flutter risk box plot provides a horizontal comparison of different erection processes. The study also discussed how to choose the best deck erection plan for different erection procedure configurations. The Shenzhong Link, built on the southern coastline of China, served as a case study. A full-bridge aeroelastic model wind tunnel test was conducted to determine the critical flutter speed at different erection stages. As the construction of the main beam progressed, the critical wind speed of the bridge generally increased. In addition, a negative angle of attack was detrimental when the main beam assembly rate was low, while a positive angle of attack was unfavorable at higher assembly rates. Extreme wind speeds from typhoons and synoptic winds were analyzed using Monte Carlo typhoon simulations and meteorological data statistics, respectively. The results indicated strong seasonality in coastal mixed climates owing to typhoon influence. The optimization algorithm identified an optimal timeline for the Lingdingyang Bridge, minimizing flutter risk. However, selecting the worst timeline could exponentially increase flutter risk. Conclusions: This paper proposes a construction process optimization strategy for suspension bridge girder that minimizes the flutter risk during the overall construction process. The mixed climatic wind environment including typhoons and benign winds and the continuous time-varying bridge structure state are considered, and the time-varying construction period flutter probability is calculated. Research has shown that timeline optimization is a more economical and viable approach than structural and aerodynamic interventions, especially in mixed wind climates. Horizontal comparison of desk erection plans should consider not only the lowest flutter speed but also the flutter risk probability across all timelines. The erection risk box plot is an effective tool in this case. If the erection starting time is flexible, minimizing the flutter probability should be the main indicator. When the timeline is uncertain, greater attention should be given on the mean-value and quartile box indicators.
suspension bridge / mixture wind climate / flutter risk probability / erection process optimization
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