Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/110130
PIRA download icon_1.1View/Download Full Text
Title: Building vibration measurement and prediction during train operations
Authors: He, L
Tao, Z 
Issue Date: Jan-2024
Source: Buildings, Jan. 2024, v. 14, no. 1, 142
Abstract: Urban societies face the challenge of working and living in environments filled with vibration caused by transportation systems. This paper conducted field measurements to obtain the characteristics of vibration transmission from soil to building foundations and within building floors. Subsequently, a prediction method was developed to anticipate building vibrations by considering the soil and structure interaction. The rigid foundation model was simplified into a foundation–soil system connected via spring damping, and the building model is based on axial wave transmission within the columns and attached floors. Building vibrations were in response to measured input vibration levels at the ground and were validated through field measurements. The influence of different building heights on soil and structure vibration propagation was studied. The results showed that the predicted vibrations match well with the measured vibrations. The proposed prediction model can reasonably predict the building vibration caused by train operations. The closed-form method is an efficient tool for predicting floor vibrations prior to construction.
Keywords: Prediction model
Soil–structure interaction
Train-induced vibration
Vibration measurement
Publisher: MDPI AG
Journal: Buildings 
EISSN: 2075-5309
DOI: 10.3390/buildings14010142
Rights: Copyright: © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
The following publication He L, Tao Z. Building Vibration Measurement and Prediction during Train Operations. Buildings. 2024; 14(1):142 is available at https://doi.org/10.3390/buildings14010142.
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
buildings-14-00142-v2.pdf3.67 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

25
Citations as of Apr 14, 2025

Downloads

7
Citations as of Apr 14, 2025

SCOPUSTM   
Citations

22
Citations as of Sep 12, 2025

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.