自动驾驶车辆对正交异性钢桥面疲劳寿命的影响。

Effect of Autonomous Vehicles on Fatigue Life of Orthotropic Steel Decks.

机构信息

College of Civil Engineering, Hunan University, Changsha 410012, China.

Powerchina Road Bridge Group Co., Ltd., Zhongshan 528405, China.

出版信息

Sensors (Basel). 2022 Dec 1;22(23):9353. doi: 10.3390/s22239353.

DOI:10.3390/s22239353

PMID:36502054

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9739899/

Abstract

The fatigue life of orthotropic steel decks (OSDs) is significantly affected by vehicle loads, and the local stress response of OSDs is sensitive to the transverse position of vehicle loads. However, the presence of autonomous vehicles is likely to change the transverse distribution of vehicles within the lane, thereby affecting vehicle-induced fatigue damage to OSDs. Therefore, it is necessary to evaluate the potential effect of autonomous vehicles on the fatigue life of OSDs so that appropriate strategies can be implemented to control the transverse positions of autonomous vehicles passing the bridge deck. To this end, fatigue damages of several typical fatigue details in a conventional OSD (COSD) and a lightweight composite OSD (LWCD) induced by vehicle loads were calculated based on finite element analysis, and their fatigue lives were evaluated based on Miner's Rule, in which different transverse distribution patterns of autonomous vehicles and their proportions in the mixed traffic flow were considered. The results indicate that fatigue lives of both the COSD and the LWCD can be negatively affected by autonomous vehicles traveling across the bridge without any constraints on the transverse distribution, especially when their proportion in the mixed traffic flow exceeds 30%. Compared to the scenario without autonomous vehicles, the fatigue damage of most fatigue details in OSDs may increase by 51% to 210% in the most unfavorable case due to the presence of autonomous vehicles. Nevertheless, it is feasible to extend the fatigue life of OSDs by optimizing the transverse distribution of autonomous vehicles. Specifically, the fatigue life of most fatigue details in the COSD could be extended by more than 86% in the most favorable case when a bimodal Gaussian distribution is adopted as the transverse distribution pattern of autonomous vehicles. Moreover, both the negative and positive effects of autonomous vehicles on the fatigue life of the COSD are more significant than those of the LWCD in most cases. The results can provide references for the maintenance of OSDs under the action of autonomous vehicles.

摘要

正交异性钢桥面（OSD）的疲劳寿命受车辆荷载的显著影响，而 OSD 的局部应力响应对车辆荷载的横向位置敏感。然而，自动驾驶车辆的出现可能会改变车道内车辆的横向分布，从而影响车辆对 OSD 的疲劳损伤。因此，有必要评估自动驾驶车辆对 OSD 疲劳寿命的潜在影响，以便实施适当的策略来控制自动驾驶车辆通过桥面的横向位置。为此，基于有限元分析，计算了车辆荷载作用下传统正交异性钢桥面（COSD）和轻质复合正交异性钢桥面（LWCD）中几个典型疲劳细节的疲劳损伤，并基于 Miner 准则评估了它们的疲劳寿命，其中考虑了自动驾驶车辆的不同横向分布模式及其在混合交通流中的比例。结果表明，在没有任何横向分布限制的情况下，自动驾驶车辆横穿桥面会对 COSD 和 LWCD 的疲劳寿命产生负面影响，尤其是当它们在混合交通流中的比例超过 30%时。与没有自动驾驶车辆的情况相比，在最不利的情况下，由于自动驾驶车辆的存在，OSD 中大多数疲劳细节的疲劳损伤可能增加 51%至 210%。然而，通过优化自动驾驶车辆的横向分布，可以延长 OSD 的疲劳寿命。具体来说，当采用双模态高斯分布作为自动驾驶车辆的横向分布模式时，COSD 中大多数疲劳细节的疲劳寿命在最有利的情况下可延长 86%以上。此外，在大多数情况下，自动驾驶车辆对 COSD 疲劳寿命的负面影响和正面影响都比 LWCD 更为显著。研究结果可为自动驾驶车辆作用下 OSD 的维护提供参考。