Non-intrusive schemes for speed and axle identification in bridge-weigh-in-motion systems

Kalhori, H; Makki Alamdari, M; Zhu, X; Samali, B; Mustapha, S

Non-intrusive schemes for speed and axle identification in bridge-weigh-in-motion systems

Kalhori, H

Makki Alamdari, M Zhu, X

Samali, B

Mustapha, S

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Publication Type:: Journal Article
Citation:: Measurement Science and Technology, 2017, 28 (2)
Issue Date:: 2017-02-01

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Field	Value	Language
dc.contributor.author	Kalhori, H https://orcid.org/0000-0002-1908-4895	en_US
dc.contributor.author	Makki Alamdari, M	en_US
dc.contributor.author	Zhu, X https://orcid.org/0000-0001-5083-9320	en_US
dc.contributor.author	Samali, B https://orcid.org/0000-0002-3426-7745	en_US
dc.contributor.author	Mustapha, S	en_US
dc.date.issued	2017-02-01	en_US
dc.identifier.citation	Measurement Science and Technology, 2017, 28 (2)	en_US
dc.identifier.issn	0957-0233	en_US
dc.identifier.uri	http://hdl.handle.net/10453/124917
dc.description.abstract	© 2017 IOP Publishing Ltd. Bridge weigh-in-motion (BWIM) is an approach through which the axle and gross weight of trucks travelling at normal highway speed are identified using the response of an instrumented bridge. The vehicle speed, the number of axles, and the axle spacing are crucial parameters, and are required to be determined in the majority of BWIM algorithms. Nothing-on-the-road (NOR) strategy suggests using the strain signals measured at some particular positions underneath the deck or girders of a bridge to obtain this information. The objective of this research is to present a concise overview of the challenges of the current non-intrusive schemes for speed and axle determination through bending-strain and shear-strain based approaches. The problem associated with the global bending-strain responses measured at quarter points of span is discussed and a new sensor arrangement is proposed as an alternative. As for measurement of local responses rather than the global responses, the advantage of shear strains over bending strains is presented. However, it is illustrated that shear strains at quarter points of span can only provide accurate speed estimation but fail to detect the correct number of axles. As a remedy, it is demonstrated that, even for closely-spaced axles, the shear strain at the beginning of the bridge is capable of reliably identifying the number of axles. In order to provide a fully automated speed and axle identification system, appropriate signal processing including low-pass filtering and wavelet transforms are applied to the raw time signals. As case studies, the results of experimental testing in laboratory and on a real bridge are presented.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP160103197
dc.relation.ispartof	Measurement Science and Technology	en_US
dc.relation.isbasedon	10.1088/1361-6501/aa52ec	en_US
dc.subject.classification	Optics	en_US
dc.title	Non-intrusive schemes for speed and axle identification in bridge-weigh-in-motion systems	en_US
dc.type	Journal Article
utslib.citation.volume	2	en_US
utslib.citation.volume	28	en_US
utslib.for	0203 Classical Physics	en_US
utslib.for	0902 Automotive Engineering	en_US
utslib.for	02 Physical Sciences	en_US
utslib.for	09 Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
utslib.copyright.status	closed_access
pubs.issue	2	en_US
pubs.publication-status	Published	en_US
pubs.volume	28	en_US

Abstract:

© 2017 IOP Publishing Ltd. Bridge weigh-in-motion (BWIM) is an approach through which the axle and gross weight of trucks travelling at normal highway speed are identified using the response of an instrumented bridge. The vehicle speed, the number of axles, and the axle spacing are crucial parameters, and are required to be determined in the majority of BWIM algorithms. Nothing-on-the-road (NOR) strategy suggests using the strain signals measured at some particular positions underneath the deck or girders of a bridge to obtain this information. The objective of this research is to present a concise overview of the challenges of the current non-intrusive schemes for speed and axle determination through bending-strain and shear-strain based approaches. The problem associated with the global bending-strain responses measured at quarter points of span is discussed and a new sensor arrangement is proposed as an alternative. As for measurement of local responses rather than the global responses, the advantage of shear strains over bending strains is presented. However, it is illustrated that shear strains at quarter points of span can only provide accurate speed estimation but fail to detect the correct number of axles. As a remedy, it is demonstrated that, even for closely-spaced axles, the shear strain at the beginning of the bridge is capable of reliably identifying the number of axles. In order to provide a fully automated speed and axle identification system, appropriate signal processing including low-pass filtering and wavelet transforms are applied to the raw time signals. As case studies, the results of experimental testing in laboratory and on a real bridge are presented.

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http://hdl.handle.net/10453/124917