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

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 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.

Ključne besede

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;

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 1.01 - Izvirni znanstveni članek
Organizacija: ZAG - Zavod za gradbeništvo Slovenije
Založnik: MDPI
UDK: 624
COBISS: 2515047 Povezava se bo odprla v novem oknu
ISSN: 2076-3417
Št. ogledov: 11
Št. prenosov: 0
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Slovenski jezik
Sekundarne ključne besede: spremljanje stanja mostov;mostni sistem WIM;dinamika konstrukcij;odkrivanje poškodb;interakcija vozilo-konstrukcija;
Komentar vira: Nasl. z nasl. zaslona; Opis vira z dne 21. 1. 2020; Art. 663;
Strani: str. 1-20
Letnik: ǂVol. ǂ10
Zvezek: ǂiss. ǂ2
Čas izdaje: Jan. 2020
DOI: 10.3390/app10020663
ID: 19921196