| 引用本文: | 李岩,吴志文,蔡明,李朝.一种随机车流与桥梁耦合振动的分析方法[J].哈尔滨工业大学学报,2018,50(3):46.DOI:10.11918/j.issn.0367-6234.201702067 |
| LI Yan,WU Zhiwen,CAI Ming,LI Zhao.An analysis method for coupled vibration random traffic flow and bridge[J].Journal of Harbin Institute of Technology,2018,50(3):46.DOI:10.11918/j.issn.0367-6234.201702067 |
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| 摘要: |
| 为提高随机车流作用下桥梁结构动力行为仿真分析的计算效率，提出一种时变维度的随机车流与桥梁耦合振动分析方法.联合模态综合技术和整体分析法建立了车桥耦合振动方程.通过对随机车流过桥过程的动态判别，进行车桥运动方程维度的时变更新，并提出了过程分析数据的动态存贮与提取算法.详细阐述了所提分析方法的总体框架和具体实现步骤.工程实例分析结果表明，在满足相对误差小于3.5%条件下，所提出的分析方法计算用时仅为传统整体分析法的14.8%，与分离迭代方法基本相同.所提出的分析方法具有较高的计算效率和分析精度，可用于相关研究和工程实际中的随机车流与桥梁耦合振动仿真分析.
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| 关键词: 桥梁 维度时变 随机车流 车桥振动 动力分析 |
| DOI：10.11918/j.issn.0367-6234.201702067 |
| 分类号:U441.3 |
| 文献标识码:A |
| 基金项目:国家自然科学基金 (51108132)； 黑龙江省自然科学基金(E080509) |
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| An analysis method for coupled vibration random traffic flow and bridge |
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LI Yan1,WU Zhiwen2,CAI Ming3,LI Zhao1
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(1.School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China; 2. Shenzhen Highway Engineering Consulting Company, Shenzhen 518094, Guangdong, China; 3. Shenzhen Municipal Design & Research Institute Co., Ltd., Shenzhen 518029, Guangdong, China)
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| Abstract: |
| To improve calculation efficiency of the coupled vibration between random traffic flow and bridge, an innovative time domain analysis method is proposed. The traffic-bridge coupled vibration equation is established by combing the modal synthesis technology and global analysis method. The dimension of motion equation for random vehicles and bridge system is updated constantly based on the progress evaluation for the running vehicles on the bridge, and the algorithm of dynamic storage and extraction for procedural computing data is proposed. The whole framework and detailed implementation steps also are introduced for the proposed traffic-bridge coupled vibration analysis method. Numerical results indicate that the computing cost of the proposed method is 14.5% of the traditional integral method, and it is similar with the separated iterative method when relative errors are less than 3.5%. The proposed method has a good computing efficiency and accuracy, and can be used to the random traffic load and bridge coupled vibration analysis.
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| Key words: bridges time variance dimension random traffic flow traffic-bridge coupled vibration dynamic analysis |
