@inproceedings{419da928c97a457d9bf0ce2250382b1b,
title = "A Theoretical Analysis of Train Induced Structural Vibration of Using Iron Cast Comparing with Concrete Sleeper with Under Sleeper Pad——A Case Study",
abstract = "The issue of excessive structural vibrations caused by train operations is becoming increasingly prominent, and more and more retrofit measures are being taken on existing tracks. This paper focuses on sections already laid with elastic sleeper tracks, aiming to study the impact of replacing them with cast iron sleeper tracks to reduce vibrations. By establishing a dynamic coupling model of the vehicle-track-soil-building, this paper analyzes the structural vibrations of the building caused by train operations. It compares the vibration characteristics at the source and at the building using concrete elastic long sleepers and iron cast sleepers. The vibration reduction effects are assessed in two aspects: insertion loss at the tunnel wall and building vibrations caused by train operations. The insertion loss at the vibration source with cast iron sleeper scheme ranges from 1.2 to 22.0 dB, and the insertion loss for building vibrations ranges from 0.0008 to 19.4 dB.",
keywords = "building vibrations, finite element, Vibration-damping track",
author = "Wang Qingbo and Hu Kaiyue and Hou Bowen and Zhao Wenqiang and Joao Pombo",
note = "Funding Information: The authors gratefully acknowledge the support provided by the national key research project \{"}underground induced rail transit complex vibration and structure-borne noise\{"} (Grant No. 2024YFF0508100) in China; National Natural Science Foundation of China (52378428). References Publisher Copyright: {\textcopyright} Beijing Paike Culture Commu. Co., Ltd. 2025.; International Conference on Artificial Intelligence and Autonomous Transportation 2024, AIAT 2024 ; Conference date: 06-12-2024 Through 08-12-2024",
year = "2025",
month = mar,
day = "28",
doi = "10.1007/978-981-96-3965-6_3",
language = "English",
isbn = "9789819639649",
volume = "111",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Singapore",
pages = "21--29",
editor = "Limin Jia and Dechen Yao and Feng Ma and Liguo Zhang and Yuejian Chen and Qingwan Xue",
booktitle = "The Proceedings of 2024 International Conference on Artificial Intelligence and Autonomous Transportation - Volume III",
address = "Singapore",
edition = "1st",
}