Eugene J. O'Brien (Author), Muhammad Arslan Khan (Author), Daniel Patrick McCrum (Author), Aleš Žnidarič (Author)

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 tra%c 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 sti%ness 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 di%erent 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 e%ectiveness of the new approach. Although the acceleration-based BWIM system is inaccurate for finding vehicle axle-weights, it is found to be e%ective 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

spremljanje stanja mostov;mostni sistem WIM;dinamika konstrukcij;odkrivanje poškodb;interakcija vozilo-konstrukcija;bridge health monitoring;bridge WIM;structural dynamics;damage detection;vehicle-bridge interaction;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: ZAG - Slovenian National Building and Civil Engineering Institute
Publisher: MDPI
UDC: 624
COBISS: 2515047 Link will open in a new window
ISSN: 2076-3417
Views: 11
Downloads: 0
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Other data

Secondary language: Slovenian
Secondary keywords: spremljanje stanja mostov;mostni sistem WIM;dinamika konstrukcij;odkrivanje poškodb;interakcija vozilo-konstrukcija;
Source comment: Nasl. z nasl. zaslona; Opis vira z dne 21. 1. 2020; Art. 663;
Pages: str. 1-20
Volume: ǂVol. ǂ10
Issue: ǂiss. ǂ2
Chronology: Jan. 2020
DOI: 10.3390/app10020663
ID: 19921196