Techno Press
You logged in as Techno Press

Smart Structures and Systems
  Volume 19, Number 1, January 2017 , pages 1-10

Autonomous evaluation of ambient vibration of underground spaces induced by adjacent subway trains using high-sensitivity wireless smart sensors
Ke Sun, Wei Zhang, Huaping Ding, Robin E. Kim and Billie F. Spencer Jr.

    The operation of subway trains induces secondary structure-borne vibrations in the nearby underground spaces. The vibration, along with the associated noise, can cause annoyance and adverse physical, physiological, and psychological effects on humans in dense urban environments. Traditional tethered instruments restrict the rapid measurement and assessment on such vibration effect. This paper presents a novel approach for Wireless Smart Sensor (WSS)-based autonomous evaluation system for the subway train-induced vibrations. The system was implemented on a MEMSIC\'s Imote2 platform, using a SHM-H high-sensitivity accelerometer board stacked on top. A new embedded application VibrationLevelCalculation, which determines the International Organization for Standardization defined weighted acceleration level, was added into the Illinois Structural Health Monitoring Project Service Toolsuite. The system was verified in a large underground space, where a nearby subway station is a good source of ground excitation caused by the running subway trains. Using an on-board processor, each sensor calculated the distribution of vibration levels within the testing zone, and sent the distribution of vibration level by radio to display it on the central server. Also, the raw time-histories and frequency spectrum were retrieved from the WSS leaf nodes. Subsequently, spectral vibration levels in the one-third octave band, characterizing the vibrating influence of different frequency components on human bodies, was also calculated from each sensor node. Experimental validation demonstrates that the proposed system is efficient for autonomously evaluating the subway train-induced ambient vibration of underground spaces, and the system holds the potential of greatly reducing the laboring of dynamic field testing.
Key Words
    underground space; ambient vibration; subway train; wireless smart sensors
Ke Sun: School of Earth Sciences and Engineering, Nanjing University, Nanjing, Jiangsu 210046, China
Wei Zhang: School of Earth Sciences and Engineering, Nanjing University, Nanjing, Jiangsu 210046, China;
High-Tech Research Institute of Nanjing University (Suzhou), Suzhou, Jiangsu 215123, China
Huaping Ding: School of Electronic Science and Engineering, Nanjing University, Nanjing, Jiangsu, 210046 China
Robin E. Kim: Center for Integrated Smart Sensors, KAIST, Daejeon 305-701, South Korea
Billie F. Spencer Jr.: Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA

Techno-Press: Publishers of international journals and conference proceedings.       Copyright © 2023 Techno Press
P.O. Box 33, Yuseong, Daejeon 305-600 Korea, Tel: +82-42-828-7996, Fax : +82-42-828-7997, Email: