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HS2 railway embankment monitoring : effect of soil condition on underground signals

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Qiu, Song, Mias, Christos, Guo, Weisi and Geng, Xueyu (2019) HS2 railway embankment monitoring : effect of soil condition on underground signals. SN Applied Sciences, 1 . 537. doi:10.1007/s42452-019-0552-y ISSN 2523-3963.

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Official URL: https://doi.org/10.1007/s42452-019-0552-y

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Abstract

High speed rail demands precision structural health monitoring in shallow underground environments near embankments. Traditional low frequency wireless channels can communicate with underground sensors, but its large antenna elements are prone to damage from geological stress. In this case study paper, we design a higher frequency compact system and experimentally characterize its performance in-situ, in different soil and moisture conditions that are representative of UK soil conditions near the planned HS2 rail site and weather conditions. Accurate 3D electromagnetic simulation results are also shown to support experimental results and a pathloss model sensitive to soil conditions is developed to inform upcoming high speed rail embankment monitoring deployment. The multi-disciplinary findings presented will also directly inform the depth and data reliability of current high speed rail sensor deployment.

Item Type: Journal Article
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TC Hydraulic engineering. Ocean engineering
T Technology > TE Highway engineering. Roads and pavements
T Technology > TF Railroad engineering and operation
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science, Engineering and Medicine > Engineering > Engineering
Library of Congress Subject Headings (LCSH): Embankments , High speed trains, Sensor networks , Soils -- Testing
Journal or Publication Title: SN Applied Sciences
Publisher: Springer
ISSN: 2523-3963
Official Date: June 2019
Dates:
DateEvent
June 2019Published
8 May 2019Available
29 April 2019Accepted
Volume: 1
Article Number: 537
DOI: 10.1007/s42452-019-0552-y
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access (Creative Commons)
Date of first compliant deposit: 29 April 2019
Date of first compliant Open Access: 23 May 2019
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
Research Development Fund University of Warwickhttp://dx.doi.org/10.13039/501100000741
SCA-RISE Grant 778360—HERCULES[ERC] Horizon 2020 Framework Programmehttp://dx.doi.org/10.13039/100010661
778305—DAWN4IoE[ERC] Horizon 2020 Framework Programmehttp://dx.doi.org/10.13039/100010661
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