Embedding human annoyance rate models in wireless smart sensors for assessing the influence of subway train-induced ambient vibration. (20th September 2016)
- Record Type:
- Journal Article
- Title:
- Embedding human annoyance rate models in wireless smart sensors for assessing the influence of subway train-induced ambient vibration. (20th September 2016)
- Main Title:
- Embedding human annoyance rate models in wireless smart sensors for assessing the influence of subway train-induced ambient vibration
- Authors:
- Sun, Ke
Zhang, Wei
Ding, Huaping
Kim, Robin E
Spencer, Billie F - Abstract:
- Abstract: The operation of subway trains induces ambient vibrations, which may cause annoyance and other adverse effects on humans, eventually leading to physical, physiological, and psychological problems. In this paper, the human annoyance rate (HAR) models, used to assess the human comfort under the subway train-induced ambient vibrations, were deduced and the calibration curves for 5 typical use circumstances were addressed. An autonomous measurement system, based on the Imote2, wireless smart sensor (WSS) platform, plus the SHM-H, high-sensitivity accelerometer board, was developed for the HAR assessment. The calibration curves were digitized and embedded in the computational core of the WSS unit. Experimental validation was conducted, using the developed system on a large underground reinforced concrete frame structure adjoining the subway station. The ambient acceleration of both basement floors was measured; the embedded computation was implemented and the HAR assessment results were wirelessly transmitted to the central server, all by the WSS unit. The HAR distributions of the testing areas were identified, and the extent to which both basements will be influenced by the close-up subway-train's operation, in term of the 5 typical use circumstances, were quantitatively assessed. The potential of the WSS-based autonomous system for the fast environment impact assessment of the subway train-induced ambient vibration was well demonstrated.
- Is Part Of:
- Smart materials and structures. Volume 25:Number 10(2016:Oct.)
- Journal:
- Smart materials and structures
- Issue:
- Volume 25:Number 10(2016:Oct.)
- Issue Display:
- Volume 25, Issue 10 (2016)
- Year:
- 2016
- Volume:
- 25
- Issue:
- 10
- Issue Sort Value:
- 2016-0025-0010-0000
- Page Start:
- Page End:
- Publication Date:
- 2016-09-20
- Subjects:
- human annoyance rate -- wireless smart sensors -- subway train-induced ambient vibration
Smart materials -- Periodicals
Strucural design -- Periodicals
620.11 - Journal URLs:
- http://iopscience.iop.org/0964-1726 ↗
http://ioppublishing.org/ ↗ - DOI:
- 10.1088/0964-1726/25/10/105023 ↗
- Languages:
- English
- ISSNs:
- 0964-1726
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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- British Library DSC - BLDSS-3PM
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- 16650.xml