Suppr超能文献

利用压电传感器检测路面上的移动荷载

Detection of Moving Load on Pavement Using Piezoelectric Sensors.

作者信息

Xiang Tao, Huang Kangxu, Zhang He, Zhang Yangyang, Zhang Yinnan, Zhou Yuhui

机构信息

College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China.

Faculty of Mechanical Engineer and Mechanics, Ningbo University, Ningbo 315211, China.

出版信息

Sensors (Basel). 2020 Apr 22;20(8):2366. doi: 10.3390/s20082366.

Abstract

More and more researches have been carried out recently on Weigh-In-Motion (WIM) technology for solving the traffic safety problems caused by overload. In this article, we aim to study the measurement accuracy of the WIM system. Based on the electromechanical theory and elastic half-space method, we establish a theoretical model of multi-layer structure to investigate the correlation between the output voltage of the piezoelectric sensor and the applied force. In addition, we performed cyclic and moving load experiments to verify the accuracy of the analytical calculations. The load magnitude identified by this theoretical model matched the experiments very well, which shows that this model is effective for the WIM system. In addition, we proved that the load frequency is an important factor affecting the measurement accuracy of the sensor, which further enables us to design more suitable sensors for certain use scenarios.

摘要

最近,为了解决超载引发的交通安全问题,越来越多的研究围绕动态称重(WIM)技术展开。在本文中,我们旨在研究WIM系统的测量精度。基于机电理论和弹性半空间方法,我们建立了多层结构的理论模型,以研究压电传感器的输出电压与所施加力之间的相关性。此外,我们进行了循环和移动载荷实验,以验证分析计算的准确性。该理论模型识别出的载荷大小与实验结果非常吻合,这表明该模型对WIM系统是有效的。此外,我们证明了载荷频率是影响传感器测量精度的一个重要因素,这进一步使我们能够针对特定的使用场景设计更合适的传感器。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验