基于风洞试验和代理模型的超大跨缆索承重桥梁抗风性能数据集

颤振性能风洞试验主要由于原始断面颤振性能不足，需进一步提高其颤振临界风速的需要，基于XNJD-1 风洞中进行试验产生，本次试验主要比选了原始断面和四种优化断面（上桥面上中央稳定板、上桥面中央开槽、下桥面下稳定板和上下桥面56°风嘴）的颤振临界风速。超大跨度缆索承重桥典型断面涡振性能及断面优化包括成桥状态主梁主要振型、频率和相应的等效质量或等效惯性矩；施工状态主梁主要振型、频率和相应的等效质量或等效惯性矩；包含成桥状态的节段模型风洞试验参数、下层铁路侧迎风和下层公路侧迎风试验数据；包含水平导流板措施示意图、外倾式导流板布置形式示意图、内倾式导流板布置形式示意图、最终措施示意图等示意图，以及对应措施的试验数据；包含阻尼比、下层铁路侧迎风-封闭CFRP支撑结构底部铝隔板、增设托架上方导流板闭CFRP支撑结构底部铝隔板、上桥面纵向检修车轨道上方导流板+封闭CFRP支撑结构底部铝隔板等措施下涡振试验位移。基于代理模型的大跨度桥梁行车抗风安全性分析采用基于高阶差分和ARMAX的代理模型对大跨度桥上列车的横风随机响应进行了预测分析。基于移动列车脉动风速谱和等效静力风荷载，对风-车-桥模型进行了简化；在此基础上，建立了基于高阶差分和重要样本的多元时间序列ARMAX代理模型，讨论了不同风速和车速等因素对列车横风响应随机特性的影响，研究结果表明：高阶差分和重要样本对ARMAX模型的预测性能提升明显，提出的ARMAX模型对风-车-桥系统的计算效率提升了约100倍，可用于大跨度桥梁的行车抗风安全性分析。

The flutter performance wind tunnel test was conducted in the XNJD-1 wind tunnel to address the insufficient flutter performance of the original section and the need to further increase its flutter critical wind speed. This test mainly compared and selected the flutter critical wind speeds of the original section and four optimized sections: central stabilizer plate on the upper deck, central slot on the upper deck, lower stabilizer plate under the lower deck, and 56° wind fairings on both upper and lower decks.

Vortex-induced vibration (VIV) performance and section optimization of typical sections for super-long-span cable-supported bridges include: the main vibration modes, frequencies and corresponding equivalent mass or equivalent moment of inertia of the main girder in the completed bridge state; the main vibration modes, frequencies and corresponding equivalent mass or equivalent moment of inertia of the main girder in the construction state; wind tunnel test parameters of the segment model in the completed bridge state, and test data of windward tests on the lower railway side and lower highway side; schematic diagrams including those of horizontal flow deflectors, outward-inclined flow deflector layouts, inward-inclined flow deflector layouts, and the final optimized measures, as well as test data corresponding to these measures; VIV test displacements under measures including damping ratio, closed CFRP support structure with aluminum partition at the bottom under the windward lower railway side, closed CFRP support structure with aluminum partition at the bottom plus flow deflector above the added bracket, and flow deflector above the longitudinal maintenance vehicle track on the upper deck plus closed CFRP support structure with aluminum partition at the bottom.

For wind-resistant safety analysis of train running on long-span bridges based on surrogate models: A surrogate model based on high-order difference and ARMAX was used to predict and analyze the crosswind random response of trains on long-span bridges. The wind-train-bridge system model was simplified based on the fluctuating wind speed spectrum of moving trains and equivalent static wind loads; on this basis, a multivariate time series ARMAX surrogate model based on high-order difference and importance sampling was established. The influences of factors such as different wind speeds and train speeds on the random characteristics of train crosswind responses were discussed. The research results show that high-order difference and importance sampling significantly improve the prediction performance of the ARMAX model. The proposed ARMAX model increases the computational efficiency of the wind-train-bridge system by approximately 100 times, and can be used for wind-resistant safety analysis of train running on long-span bridges.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于超大跨缆索承重桥梁的抗风性能，通过风洞试验比较了原始断面与四种优化断面的颤振临界风速，并提供了涡振性能的详细测试数据及优化措施示意图。同时，基于ARMAX代理模型对列车横风响应进行预测分析，显著提升了计算效率，适用于桥梁行车抗风安全性评估。