Michael D. Todd

Faculty, Structural Engineering

Structural dynamics, nonlinear vibrations, time series modeling, structural health monitoring strategies for civil, mechanical, and aerospace systems, fiber optic sensor system design and noise propagation modeling.

Professor Todd's research applies to civil, mechanical, and aerospace structural systems. He focuses on developing tools from structural vibrations, nonlinear dynamics, and time series modeling fields for structural health monitoring and damage prognosis strategies. He also works to develop fiber optic sensor arrays and RFID-enabled sensor networks for making the measurements necessary for initiating such strategies. By integrating these sensor technologies with targeted processing algorithms, Todd is able to create "smart structures" that continually provide data regarding health and performance in an online, efficient manner for optimal decision-making, reconfiguration, performance enhancement, and life safety. Todd's unique ability to combine hardware and software research domains further strengthens the Jacobs School's position as a world leader in integrating large-scale and field testing with computational analysis for purposes of damage diagnostics, damage prognostics, and response modeling of civil, mechanical, and aerospace structural systems.

Capsule Bio:

Michael Todd joined the UC San Diego Structural Engineering Department in 2003. He received Ph.D. (1996) from Duke University's Department of Mechanical Engineering and Materials Science as a National Science Foundation Graduate Research Fellow. In 1996, he began at the US Naval Research Laboratory as an American Society for Engineering Education post-doctoral fellow, where he was later named Section Head (2000) of the Fiber Optic Smart Structures Section until 2003. He has published more than 150 journal papers, conference proceedings, and reports, and holds 4 patents. His main research areas are in structural health monitoring strategies, in fiber optic measurement systems, and in RFID sensor networking for civil infrastructure assessment with UAVs. With partners at Los Alamos National Laboratory, Todd helped create the country's first graduate degree program in structural health monitoring, damage prognosis, and validated simulations at UCSD. Among his many honors, Todd received the 1999 Alan Berman NRL Publication Award, the 2003 and 2004 NRL Patent Award, and the 2005 Structural Health Monitoring Person of the Year award given at the Fifth International Workshop on Structural Health Monitoring. He is a a 2004-2005 UCSD Hellman Fellow and a 2005 Von Liebig Entrepreneurship award winner.

Education:

  • Ph.D., Department of Mechanical Engineering and Materials Science, Duke University, 1996
  • M.S., Department of Mechanical Engineering and Materials Science, Duke University, 1993
  • B.S.E., Department of Mechanical Engineering and Materials Science, Duke University, 1992

Awards:

  • Angier B. Duke Memorial Scholar 1988-1992
  • National Academy for Nuclear Training Fellow, 1990
  • Pi Tau Sigma Mechanical Engineering Honorary, 1991
  • Tau Beta Pi National Engineering Honorary, 1991
  • Phi Beta Kappa Member, 1991
  • Mechanical Engineering Faculty Award, 1992
  • National Science Foundation Graduate Fellow, 1993-1996
  • U.S. Naval Research Laboratory Alan Berman Research Publication Award, 1998.
  • U.S. Naval Research Laboratory Performance and Contribution Awards, 1998-2003
  • UCSD Hellman Faculty Fellow, 2004-2005
  • Structural Health Monitoring Person-of-the-Year Award, 2005
  • Who's Who in Engineering Education, 2005
  • Benjamin F. Meaker Visiting Fellow, University of Bristol, 2009

Selected Publications:

  • P. Wilcox, A. Velichko, B. W. Drinkwater, A. J. Croxford, and M. D. Todd, “Scattering of Plane Guided Waves Obliquely Incident on a Straight Feature with Uniform Cross-section,” Journal of Acoustical Society America, 128(5), 2715-2725, 2010
  • E. Figueiredo, M. D. Todd, C. R. Farrar, and E. Flynn, ”Autoregressive Modeling with State-Space Embedding Vectors for Damage Detection under Operational Variability,” International Journal of Engineering Science, 48, 822-834, 2010.
  • T. R. Fasel and M. D. Todd, “An Adhesive Bond State Classification Method for a Composite Skin-to-Spar Joint Using Chaotic Insonification,” Journal of Sound and Vibration, 329(15), 3218-3232, 2010.
  • T. R. Fasel and M. D. Todd, “Chaotic Insonification for Health Monitoring of an Adhesively-Bonded Composite Stiffened Panel,” Mechanical Systems and Signal Processing, 24(5), 1420-1430, 2010.
  • T. R. Fasel and M. D. Todd, “Changes in Signal Dimension of Chaotic Ultrasonic Waves During Data Acquisition and Generation,” Structural Health Monitoring: An International Journal, 9(5), 385-400, 2010.
  • E. Flynn and M. D. Todd, “A Bayesian Approach to Optimal Sensor Placement for Structural Health Monitoring with Application to Active Sensing,” Mechanical Systems and Signal Processing, 24(4), 891-903, 2010.
  • D. Mascarenas, E. Flynn, M. D. Todd, T. Overly, K. Farinholt, G. Park, and. C. R. Farrar, “Experimental Studies of Using Wireless Energy Transmissions for Powering Structural Health Monitoring Sensor Nodes,” Journal of Sound and Vibration, 329(12), 2421-2433, 2010.
  • D. Mascarenas, E. Flynn, M. D. Todd, T. Overly, K. Farinholt, G. Park, and. C. R. Farrar, “Development of Capacitance-Based and Impedance-Based Wireless Sensors and Sensor Nodes for Structural Health Monitoring Applications,” Journal of Sound and Vibration, 329(12), 2410-2420, 2010.
  • D. Mascarenas, E. Flynn, C. R. Farrar, G. Park, and M. D. Todd, “A Mobile Host Approach for Wireless Powering and Interrogation of Structural Health Monitoring Sensor Networks,” IEEE Sensors Journal, 9(12), 1719-1726, 2009.
  • S. Salamone, T. Fasel, I. Bartoli, A. Srivastava, F. Lanza di Scalea, and M. D. Todd, “Structural Health Monitoring of Adhesively Bonded Joints,” Materials Evaluation, 67(7), 828-836, 2009.
  • E. Flynn and M. D. Todd, “Optimal Placement of Piezoelectric Actuators and Sensors for Detecting Damage in Plate Structures,”Journal of Intelligent Material Structures and Systems, 21(2), 265-274, 2010.
  • C. C. Olson and M. D. Todd, “On the Convergence of Multiple Excitation Sources to a Global Optimum Excitation in Active Sensing for Structural Health Monitoring,” Structural Control and Health Monitoring, 17, 23-47, 2010.
  • D. L. Mascarenas, G. Park, K. Farinholt, M. D. Todd, and C. R. Farrar, “A Low-Power Wireless Sensing Device for Remote Inspection of Bolted Joints,” Proceedings of the Institution of Mechanical Engineers-Part G:  Journal of Aerospace Engineering, 223(5), 565-575, 2009. 
  • T. Overly, L. D. Jacobs, K. Farinholt, G. Park, C. R. Farrar, E. Flynn, and M. D. Todd, “Developing an Integrated Software Solution for Active-Sensing SHM,” Smart Structures and Systems, 5(4), 457-468, 2009.
  • T. Fasel, M. B. Kennel, M. D. Todd, E. H. Clayton, M. Stabb, and G. Park, “Damage State Evaluation of Experimental and Simulated Bolted Joints Using Chaotic Ultrasonic Waves,” Smart Structures and Systems, 5(4), 329-344, 2009.
  • L. A. Overbey and M. D. Todd, “Effects of Noise on Estimation of Transfer Entropy for Damage Detection,” Mechanical Systems and Signal Processing, 23(7), 2178-2191, 2009.
  • C. C. Olson, L. A. Overbey, and M. D. Todd, “The Effect of Detection Feature Type on Excitations Bred for Active Sensing in Structural Health Monitoring,” Journal of Intelligent Material Structures and Systems, 20, 1307-1327, 2009.
  • S. G. Taylor, K. M. Farinholt, E. B. Flynn, E. Figueiredo, D. L. Mascarenas, E. Moro, G. Park, M. D. Todd, and C. R. Farrar, “A Mobile-Agent Based Wireless Sensing Network for Structural Monitoring Applications,” Measurement Science and Technology, 20(4), 045201 (14 pp), 2009.
  • L. A. Overbey and M. D. Todd, “Dynamic System Change Detection Using a Modification of the Transfer Entropy,” Journal of Sound and Vibration, 322, 438-453, 2009.
  • C. C. Olson, L. A. Overbey, and M. D. Todd, “An Experimental Demonstration of Tailored Excitations for Improved Damage Detection in the Presence of Operational Variability,” Mechanical Systems and Signal Processing, 23(2), 344-357, 2009.
  • D. Mascarenas, E. Flynn, M. D. Todd, G. Park, and C. R. Farrar, “Wireless Sensor Technologies for Monitoring Civil Structures,” Sound and Vibration, April 2008, 16-20.
  • M. D. Todd, “On the Probability Structure of Output Noise From a Digital Phase Demodulation System Subject to Biased Intensity-Based Input Noise,” Journal of Lightwave Technology, 26(14), 2291-2300, 2008.
  • L. A. Overbey and M. D. Todd, “Damage Assessment Using Generalized State Space Correlation Features,” Structural Health Monitoring:  An International Journal, 7(4), 347-363, 2008.
  • K. Worden, C. R. Farrar, J. Haywood, and M. D. Todd, “A Review of Nonlinear Dynamics Applications to Structural Health Monitoring,” Structural Control and Health Monitoring, 15(4), 540-567, 2008.
  • G. Park, T. Rosing, M. D. Todd, C. R. Farrar, and W. Hodgkiss, “Energy Harvesting for Structural Health Monitoring Sensor Networks,” ASCE Journal of Infrastructure Systems 14(1), 64-79, 2008. 

Email:
mdtodd@ucsd.edu

Office Phone:
858-534-5951

Website




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