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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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Journal ArticleDOI
Remote railroad bridge structural tap testing using aerial robots
TL;DR: The development, validation, and testing of a remote tap testing device that can be deployed by an aerial robot is described to enable cost-effective, safer and sustainable upgrade prioritization of railroad bridge inventories.
Proceedings ArticleDOI
On piezoelectric Lamb wave-based structural health monitoring using instantaneous baseline measurements
TL;DR: In this paper, a Lamb wave propagation-based Structural Health Monitoring (SHM) system is used to identify common features of undamaged paths, which can be used as a baseline for near real-time damage detection.
Journal ArticleDOI
Low-Rise Shear Wall Ultimate Drift Limits
TL;DR: In this paper, the drift limits for low aspect ratio reinforced concrete shear walls are investigated by reviewing the open literature for appropriate experimental data, based on the geometry of structures d....
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Use of Relative Baseline Features of Guided Waves for In situ Structural Health Monitoring
TL;DR: The relative baseline concept is proposed, in which measured Lamb waves are correlated between different sensor-actuator sets, as opposed to being correlated to pre-stored baseline data, and cross-correlation and power spectral density analysis techniques are performed on data sets recorded from composite and aluminum plates.
Proceedings ArticleDOI
Wireless impedance device for electromechanical impedance sensing and low-frequency vibration data acquisition
Stuart G. Taylor,Kevin M. Farinholt,Gyuhae Park,Charles R. Farrar,Eric B. Flynn,David Mascareñas,Michael D. Todd +6 more
TL;DR: This paper presents recent developments in an extremely compact, wireless impedance sensor node for combined use with both impedance method and low-frequency vibrational data acquisition and recently extended the capability of this device by implementing low- frequencies A/D and D/A converters so that the same device can measure low- frequency vibration data.