Suppr超能文献

预测地铁列车引起的建筑物振动的实用反分析方法

Practical back-analysis methodology to predict underground train-induced building vibrations.

作者信息

Yuan Zonghao, Wu Jing, Sun Honglei, Cai Yuanqiang, Zou Chao

机构信息

College of Civil Engineering, Zhejiang University of Technology, Hangzhou, 310014, China.

School of Civil and Transportation Engineering, Guangdong University of Technology, Guangzhou, 510006, China.

出版信息

Environ Sci Pollut Res Int. 2023 Apr;30(20):58697-58715. doi: 10.1007/s11356-023-26389-4. Epub 2023 Mar 30.

Abstract

The vehicle-track interaction leads to the vibrating source for the prediction of train-induced building vibrations. To prevent modeling difficulties in the source part, this study proposes a practical back-analysis methodology for calculating underground train-induced building vibrations. The methodology combines the advantages of field measurements and numerical simulations. The fundamental concept of the hybrid methodology is to first create a virtualized moving source at the rail surface and subsequently modify it until the numerical predictions are consistent with the field measurements at the same locations. These locations are frequently selected at the ground surface or near the building foundation. Finally, this imaginary force can be used to predict the vibrations of buildings. The practicality of the hybrid methodology is verified by comparing the predicted vibrations of buildings with field test results. As an application of the proposed method, the transmission laws and characteristics of the vibrations in buildings are analyzed.

摘要

车辆与轨道的相互作用产生了用于预测列车引起的建筑物振动的振动源。为避免源部分建模困难,本研究提出一种用于计算地下列车引起的建筑物振动的实用反分析方法。该方法结合了现场测量和数值模拟的优点。混合方法的基本概念是首先在轨道表面创建一个虚拟移动源,然后对其进行修改,直到数值预测与相同位置的现场测量结果一致。这些位置通常选在地面或建筑物基础附近。最后,这个虚构力可用于预测建筑物的振动。通过将建筑物的预测振动与现场测试结果进行比较,验证了混合方法的实用性。作为所提方法的一个应用,分析了建筑物中振动的传播规律和特性。

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