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M. D. Todd
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Journal Articles

Isogeometric Fatigue Damage Prediction in Large-Scale Composite Structures Driven by Dynamic Sensor Data

Y. Bazilevs, X. Deng, A. Korobenko, F. Lanza di Scalea, M. D. Todd, S. G. Taylor
Journal: Journal of Applied Mechanics
Publisher: ASME
Article Type: Research-Article
J. Appl. Mech. September 2015, 82(9): 091008.
Paper No: JAM-15-1199
https://doi.org/10.1115/1.4030795
Published Online: September 1, 2015
View Article titled, Isogeometric Fatigue Damage Prediction in Large-Scale Composite Structures Driven by Dynamic Sensor Data
Open the PDF for Isogeometric Fatigue Damage Prediction in Large-Scale Composite Structures Driven by Dynamic Sensor Data in another window
Topics: Blades, Composite materials, Damage, Fatigue damage, Sensors, Simulation, Fatigue, Cycles, Fatigue testing, Modeling
Journal Articles

Improving Excitations for Active Sensing in Structural Health Monitoring via Evolutionary Algorithms

Colin C. Olson, M. D. Todd, Keith Worden, Charles Farrar
Journal: Journal of Vibration and Acoustics
Publisher: ASME
Article Type: Technical Papers
J. Vib. Acoust. December 2007, 129(6): 784–802.
https://doi.org/10.1115/1.2748478
Published Online: March 14, 2007
View Article titled, Improving Excitations for Active Sensing in Structural Health Monitoring via Evolutionary Algorithms
Open the PDF for Improving Excitations for Active Sensing in Structural Health Monitoring via Evolutionary Algorithms in another window
Topics: Damage, Excitation, Optimization, Noise (Sound), Springs