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Charles R. Farrar
Researcher at Los Alamos National Laboratory
Publications - 361
Citations - 28706
Charles R. Farrar is an academic researcher from Los Alamos National Laboratory. The author has contributed to research in topics: Structural health monitoring & Sensor node. The author has an hindex of 70, co-authored 357 publications receiving 26338 citations. Previous affiliations of Charles R. Farrar include Analysis Group.
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A statistical comparison of impact and ambient testing results from the Alamosa Canyon Bridge
TL;DR: In this article, the modal properties of Alamosa canyon bridge were compared to those obtained from impact hammer vibration tests and the results showed that for most of the measured modes, the differences between modal frequencies of the ambient and hammer data sets are statistically significant.
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Estimation of full‐field, full‐order experimental modal model of cable vibration from digital video measurements with physics‐guided unsupervised machine learning and computer vision
Yongchao Yang,Yongchao Yang,Lorenzo Sanchez,Huiying Zhang,Alexander Roeder,John Bowlan,Jared Crochet,Charles R. Farrar,David Mascareñas +8 more
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Blind, simultaneous identification of full-field vibration modes and large rigid-body motion of output-only structures from digital video measurements
TL;DR: This study presents the development of adapting a recently-proposed video-based method for output-only, simultaneous identification of both the subtle, full-field deformation modes and the dominant rigid-body motion from only the video of the vibrating while moving structure.
ReportDOI
Statistical damage classification using sequential probability ratio tests.
TL;DR: The performance of the SPRT is improved by integrating extreme values statistics, which specifically models behavior in the tails of the distribution of interest into the SPRTs, which improves the early identification of conditions that could lead to performance degradation and safety concerns.
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Multi-scale wireless sensor node for health monitoring of civil infrastructure and mechanical systems
TL;DR: The WID3 as mentioned in this paper is an extremely compact, wireless impedance sensor node (WID3, Wireless Impedance Device) for use in high-frequency impedance-based structural health monitoring (SHM), sensor diagnostics and validation, and low-frequency vibration data acquisition.