@misc{10481/70506,
year = {2021},
month = {8},
url = {http://hdl.handle.net/10481/70506},
abstract = {Operational Modal Analysis (OMA) is becoming a mature and widespread technique for Structural Health Monitoring
(SHM) of engineering structures. Nonetheless, while proved effective for global damage assessment, OMA-based techniques
can hardly detect local damage with little effect upon the modal signatures of the system. In this context, recent research
studies advocate for the use of wave propagation methods as complementary to OMA to achieve local damage identification
capabilities. Specifically, promising results have been reported when applied to building-like structures, although the
application of Seismic Interferometry to other structural typologies remains unexplored. In this light, this work proposes
for the first time in the literature the use of ambient noise deconvolution interferometry (ANDI) to the structural assessment
of long bridge structures. The proposed approach is exemplified with an application case study of a multi-span reinforcedconcrete
(RC) viaduct: the Chiaravalle viaduct in Marche Region, Italy. To this aim, ambient vibration tests were performed
on February 4 th and 7 th 2020 to evaluate the lateral and longitudinal dynamic behaviour of the viaduct. The recorded ambient
accelerations are exploited to identify the modal features and wave propagation properties of the viaduct by OMA and
ANDI, respectively. Additionally, a numerical model of the bridge is constructed to interpret the experimentally identified
waveforms, and used to illustrate the potentials of ANDI for the identification of local damage in the piers of the bridge. The
presented results evidence that ANDI may offer features that are quite sensitive to damage in the bridge substructure, which
are often hardly identifiable by OMA.},
organization = {Universita degli Studi di Perugia within the CRUI-CARE Agreement},
publisher = {Springer},
keywords = {Ambient vibrations},
keywords = {Ambient noise deconvolution},
keywords = {Bridges},
keywords = {Damage localization},
keywords = {Structural health monitoring},
keywords = {Seismic interferometry},
title = {Structural assessment of bridges through ambient noise deconvolution interferometry: application to the lateral dynamic behaviour of a RC multi‑span viaduct},
doi = {10.1007/s43452-021-00273-9},
author = {García Macías, Enrique and Ubertini, Filippo},
}