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Title:Using statistical analysis of an acceleration-based bridge weigh-in-motion system for damage detection
Authors:ID O'Brien, Eugene J. (Author)
ID Khan, Muhammad Arslan (Author)
ID McCrum, Daniel Patrick (Author)
ID Žnidarič, Aleš (Author)
Files:URL URL - Source URL, visit https://www.mdpi.com/2076-3417/10/2/663
Description: Open Access
 
.pdf PDF - Presentation file, download (8,01 MB)
MD5: 9BB19601ABEA1618EE745D7B3A377734
 
Language:English
Typology:1.01 - Original Scientific Article
Organization:Logo ZAG - Slovenian National Building and Civil Engineering Institute
Abstract:This paper develops a novel method of bridge damage detection using statistical analysis of data from an acceleration-based bridge weigh-in-motion (BWIM) system. Bridge dynamic analysis using a vehicle-bridge interaction model is carried out to obtain bridge accelerations, and the BWIM concept is applied to infer the vehicle axle weights. A large volume of traffic data tends to remain consistent (e.g., most frequent gross vehicle weight (GVW) of 3-axle trucks); therefore, the statistical properties of inferred vehicle weights are used to develop a bridge damage detection technique. Global change of bridge stiffness due to a change in the elastic modulus of concrete is used as a proxy of bridge damage. This approach has the advantage of overcoming the variability in acceleration signals due to the wide variety of source excitations/vehicles–data from a large number of different vehicles can be easily combined in the form of inferred vehicle weight. One year of experimental data from a short-span reinforced concrete bridge in Slovenia is used to assess the effectiveness of the new approach. Although the acceleration-based BWIM system is inaccurate for finding vehicle axle-weights, it is found to be effective in detecting damage using statistical analysis. It is shown through simulation as well as by experimental analysis that a significant change in the statistical properties of the inferred BWIM data results from changes in the bridge condition.
Keywords:bridge health monitoring, bridge WIM, structural dynamics, damage detection, vehicle-bridge interaction
Publication status:Published
Publication version:Version of Record
Publication date:17.01.2020
Publisher:MDPI
Year of publishing:2020
Number of pages:str. 1-20
Numbering:Vol. 10, iss. 2
PID:20.500.12556/DiRROS-16940 New window
UDC:624
ISSN on article:2076-3417
DOI:10.3390/app10020663 New window
COBISS.SI-ID:2515047 New window
Copyright: first_page settings Order Article Reprints Open AccessArticle Using Statistical Analysis of an Acceleration-Based Bridge Weigh-In-Motion System for Damage Detection by Eugene OBrien 1 [ORCID] , Muhammad Arslan Khan 1,* [ORCID] , Daniel Patrick McCrum 1 [ORCID] and Aleš Žnidarič 2 1 School of Civil Engineering, University College Dublin, D04 V1W8 Belfield, Ireland 2 Slovenian National Building and Civil Engineering Institute (ZAG), 1000 Ljubljana, Slovenia * Author to whom correspondence should be addressed. Appl. Sci. 2020, 10(2), 663; https://doi.org/10.3390/app10020663 Received: 9 December 2019 / Revised: 13 January 2020 / Accepted: 14 January 2020 / Published: 17 January 2020 (This article belongs to the Section Civil Engineering) Download Browse Figures Versions Notes Abstract This paper develops a novel method of bridge damage detection using statistical analysis of data from an acceleration-based bridge weigh-in-motion (BWIM) system. Bridge dynamic analy
Note:Nasl. z nasl. zaslona; Opis vira z dne 21. 1. 2020; Art. 663;
Publication date in DiRROS:12.09.2023
Views:984
Downloads:440
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O’BRIEN, Eugene J., KHAN, Muhammad Arslan, MCCRUM, Daniel Patrick and ŽNIDARIČ, Aleš, 2020, Using statistical analysis of an acceleration-based bridge weigh-in-motion system for damage detection. Applied sciences [online]. 2020. Vol. 10, no. 2, p. 1–20. [Accessed 6 April 2025]. DOI 10.3390/app10020663. Retrieved from: https://dirros.openscience.si/IzpisGradiva.php?lang=eng&id=16940
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Record is a part of a journal

Title:Applied sciences
Shortened title:Appl. sci.
Publisher:MDPI
ISSN:2076-3417
COBISS.SI-ID:522979353 New window

Document is financed by a project

Funder:SFI - Science Foundation Ireland
Project number:16/US/13277

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:spremljanje stanja mostov, mostni sistem WIM, dinamika konstrukcij, odkrivanje poškodb, interakcija vozilo-konstrukcija


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