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Naslov:Using statistical analysis of an acceleration-based bridge weigh-in-motion system for damage detection
Avtorji:ID O'Brien, Eugene J. (Avtor)
ID Khan, Muhammad Arslan (Avtor)
ID McCrum, Daniel Patrick (Avtor)
ID Žnidarič, Aleš (Avtor)
Datoteke:URL URL - Izvorni URL, za dostop obiščite https://www.mdpi.com/2076-3417/10/2/663
Opis: Open Access
 
.pdf PDF - Predstavitvena datoteka, prenos (8,01 MB)
MD5: 9BB19601ABEA1618EE745D7B3A377734
 
Jezik:Angleški jezik
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:Logo ZAG - Zavod za gradbeništvo Slovenije
Povzetek: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.
Ključne besede:bridge health monitoring, bridge WIM, structural dynamics, damage detection, vehicle-bridge interaction
Status publikacije:Objavljeno
Verzija publikacije:Objavljena publikacija
Datum objave:17.01.2020
Založnik:MDPI
Leto izida:2020
Št. strani:str. 1-20
Številčenje:Vol. 10, iss. 2
PID:20.500.12556/DiRROS-16940 Novo okno
UDK:624
ISSN pri članku:2076-3417
DOI:10.3390/app10020663 Novo okno
COBISS.SI-ID:2515047 Novo okno
Avtorske pravice: 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
Opomba:Nasl. z nasl. zaslona; Opis vira z dne 21. 1. 2020; Art. 663;
Datum objave v DiRROS:12.09.2023
Število ogledov:999
Število prenosov:446
Metapodatki:XML DC-XML DC-RDF
:
O’BRIEN, Eugene J., KHAN, Muhammad Arslan, MCCRUM, Daniel Patrick in ŽNIDARIČ, Aleš, 2020, Using statistical analysis of an acceleration-based bridge weigh-in-motion system for damage detection. Applied sciences [na spletu]. 2020. Vol. 10, no. 2, p. 1–20. [Dostopano 14 april 2025]. DOI 10.3390/app10020663. Pridobljeno s: https://dirros.openscience.si/IzpisGradiva.php?lang=slv&id=16940
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Gradivo je del revije

Naslov:Applied sciences
Skrajšan naslov:Appl. sci.
Založnik:MDPI
ISSN:2076-3417
COBISS.SI-ID:522979353 Novo okno

Gradivo je financirano iz projekta

Financer:SFI - Science Foundation Ireland
Številka projekta:16/US/13277

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:spremljanje stanja mostov, mostni sistem WIM, dinamika konstrukcij, odkrivanje poškodb, interakcija vozilo-konstrukcija


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