通过引入实际车辆轨迹数据,对吊的疲劳评估进行比较研究
Yue Pan1, Yiqing Dong2,3, Dalei Wang1,4
1College of Civil Engineering, Tongji University, Shanghai, China.
Scientific reports
|March 2, 2024
概括
这项研究引入了一种新的2D智能驾驶模型 (2D-IDM),用于改善悬架桥悬架疲劳分析的交通负载模型. 该模型准确地捕捉了车辆的轨迹,提高了疲劳评估的精度.
科学领域:
- 土木工程 土木工程是指土木工程.
- 结构工程 结构工程
- 运输工程 运输工程
背景情况:
- 吊桥中的悬架在负载转移方面至关重要,但易受动态交通负载造成的疲劳的影响.
- 当前的交通负载模型 (TLM) 往往缺乏准确性,原因是对车辆运动和分布的简化假设.
- 准确的疲劳评估对于确保悬浮桥的长期安全性和完整性至关重要.
研究的目的:
- 开发和验证一种新的2D智能驾驶员模型 (2D-IDM),该模型包含现实的车辆轨迹,包括横向运动.
- 为了提高交通负载模型 (TLM) 的可靠性和精度,用于悬架桥悬挂器疲劳分析.
- 将拟议的模型与现有的基于观察和基于模拟的模型进行定量比较.
主要方法:
- 开发一个2D智能驾驶员模型 (2D-IDM),整合实际车辆轨迹.
- 对拟议模型 (TLM S-3) 与基于观察 (O-1,O-2) 和基于模拟 (S-1,S-2) 的模型进行比较分析.
- 使用WIM-Vision系统在长跨度吊桥上获得现实交通负载轨迹数据.
- 采用多尺度的有限元模型 (FEM) 与固体元素来模拟桥梁梁,并计算纵向和横向的疲劳损伤.
主要成果:
- 拟议的2D-IDM与实际测量的交通负载轨迹有很强的一致性.
- 该研究提供了一个明确的,定性和定量理解疲劳评估与或没有实际轨迹特征.
- 采用2D-IDM的增强型TLM显示了提高疲劳评估精度的潜力.
结论:
- 新的2D-IDM有效模拟现实的车辆运动,大大提高了桥梁交通负载建模的准确性.
- 这种方法通过考虑关键的轨迹数据来提高吊桥悬架的疲劳评估的准确性.
- 这些发现支持采用轨迹感知模型,以便更可靠地监测桥梁的结构健康状况和规划桥梁的维护.
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