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Structural Health Monitoring Using Statistical Pattern Recognition

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COURSE INSTRUCTORS

Charles R. (Chuck) Farrar, Ph. D., PE

Chuck Farrar is the President of Los Alamos Dynamics. Chuck Farrar has 23 years experience as a technical staff member, project leader, and team leader at Los Alamos National Laboratory. He is currently the director of The Engineering Institute at Los Alamos National Laboratory. While at Los Alamos, he earned a Ph.D. in civil engineering from the University of New Mexico in 1988. The first ten years of his career at LANL focused on performing experimental and analytical structural dynamics studies for a wide variety of systems including nuclear power plant structures subject to seismic loading, and weapons components subject to various portions of their stockpile-to-target loading environments. Currently, his research interests focus on developing integrated hardware and software solutions to structural health monitoring problems and the development of damage prognosis technology. The results of this research have been documented in over 200 refereed journal articles, book chapters, conference papers, Los Alamos Reports and numerous keynote lectures at international conferences. In 2000 he founded the Los Alamos Dynamics Summer School. His work has recently been recognized at Los Alamos through his reception of the inaugural Los Alamos Fellows Prize for Technical Leadership and by the Structural Health Monitoring community through the reception of the inaugural Lifetime Achievement Award in Structural Health Monitoring. He is currently working jointly with engineering faculty at University of California, San Diego to develop the Los Alamos/UCSD Engineering Institute with a research focus on Damage Prognosis. This initiative is also developing a formal, degree-granting educational program in the closely related areas of validated simulations and structural health monitoring. Additional professional activities include current appointments to associated editor positions for the Int. Journal of Structural Health Monitoring and Earthquake Engineering and Structural Dynamics, and the development of a short course entitled Structural Health Monitoring: A Statistical Pattern Recognition Approach that has been offered more than 14 times to industry and government agencies in Asia, Australia, Europe and the U.S.

Jerome (Jerry) Lynch, Ph. D.

Dr. Jerome Lynch is an Assistant Professor at the University of Michigan in the Department of Civil and Environmental Engineering. As one of the primary inventors of wireless sensing concepts for application in the structural engineering fields, Dr. Lynch bridges the gap between wireless sensing technologies and the structural engineering industry. Dr. Lynch began his professional career at Weidlinger Associates, where he was a structural engineer within the applied science group focusing solely upon the design of blast-resistant structures for clients such as the Central Intelligence Agency and the U.S. General Service Administration (GSA). He has also spent time at SC Solutions where he was an embedded system engineer developing cutting-edge embedded applications for integrated circuit manufacturing control systems. Dr. Lynch is a graduate of Stanford University where he received his Ph.D. in Civil Engineering and M.S. in Electrical Engineering. The focus of his dissertation was developing key components of the structural health monitoring paradigm including the development of wireless monitoring systems for critical civil infrastructure. Dr. Lynch is the author of over twenty-five publications in structural health monitoring, wireless sensing technologies, structural control, and structural dynamics. Dr. Lynch has also been the recipient of the Stanford Graduate Fellowship and the National Defense Science and Engineering Graduate Fellowship provided by the U.S. Department of Defense.

Gyuhae Park, Ph. D.

Gyuhae Park received his Ph.D. in Mechanical Engineering from Virginia Tech in 2000. He is currently a technical staff member at Los Alamos National Laboratory. His prior appointment includes Research Scientist at Virginia Tech, where he served as a PI of the support from National Science Foundation, NASA, and Honeywell Space Systems. His recent research focuses on applications of impedance-based methods and Lamb wave propagations for structural health monitoring (SHM), active sensor self-diagnostics, and self-repairing structural systems with an emphasis on the use of active materials. He is also interested in energy harvesting, which extracts energy from the environment or from a surrounding system and converts it to useable electrical energy. Part of his research also concerned with integrating sensing hardware directly with data-interrogation software and developing integrated, multi-scale diagnostics systems to result in more efficient SHM solutions. He has published more than 40 referred journal articles, 4 book chapters, 4 invention disclosures, and more than 100 conference proceedings. He is currently serving as an associate editor for the Journal of Intelligent Material Systems and Structures, and as a member of the ASME technical committee on Adaptive Structures and Material Systems. Gyuhae was awarded the SHM “Person of the Year” award at the 2007 International Workshop on SHM.

Hoon Sohn, Ph. D.

Prof. Sohn is currently Associate Professor in Civil and Environmental Engineering at the Korea Advanced Institute of Science and Technology (KAIST), where his research focuses on active sensing, guided-wave propagation, and time-reversal acoustics applied to SHM.

He received a Ph.D. in 1999 from the Civil Engineering Department at Stanford University, joined LANL as a Director Funded Postdoctoral Fellow (1999-2001), and worked at LANL as a Technical Staff Member at LANL until August, 2004. He is currently a faculty member in the Civil Engineering Department at Carnegie Mellon Univeristy. For last 8 years, he has been working on the structural health monitoring (SHM) research to develop various data interrogation and damage detection techniques based on a unique statistical pattern recognition approach. He has published more than 25 refereed journal articles and 70 conference proceedings. He recently signed contract with John Wiley & Sons Ltd. for publishing the first SHM book entitled “Structural Health Monitoring: A Statistical Pattern Recognition Approach” (coauthored by Charles R. Farrar). He won the Best Paper Award at the lSPIE annual international symposium on non-destructive evaluation for health monitoring and diagnostics conference for his paper entitled “Utilizing the Sequential Probability Ratio Test for Building Joint Monitoring”. Drs. Farrar and Sohn recently filed a patent entitled “Statistical Pattern Recognition Algorithms and Software for Structural Health Monitoring.”

Michael Todd, Ph. D.

Mike received his B.S.E. (1992), M. S. (1993), and Ph.D. (1996) from Duke University in the Mechanical Engineering and Materials Science Department. From 1996-2003, Mike served as Research Engineer in (1996-2000) and Head of (2000-2003) the Fiber Optic Smart Structures Section of the United States Naval Research Laboratory (NRL) in Washington, D.C. Mike’s research programs have involved developing high-performance fiber optic sensing solutions for ship hull monitoring on a composite fast patrol boat, open-water thrust estimates of an RDP propulsor, bridge construction monitoring, and for traffic monitoring of an in-service bridge. Mike has also conducted research in structural dynamics and nonlinear vibrations. Since 1998, Mike has also been developing novel time series techniques using nonlinear waves for damage detection in structures, most recently applying this work to hybrid composite/metal bolted joints. Mike has authored or co-authored 32 refereed journal articles, over 70 conference proceedings, 6 technical reports, and 4 patents or patent disclosures in these research areas. Since 2001, Mike has mentored students and lectured in the Los Alamos Dynamics Summer School on topics in fiber optics and structural health monitoring. In March 2003, Mike joined the faculty of the Structural Engineering Department at the University of California San Diego (UCSD), where he is co-leading the Los Alamos/UCSD Engineering Institute with a research and educational focus on Structural Health Monitoring, Damage Prognosis, and Validated Simulations. Mike was awarded the SHM “Person of the Year” award at the 2005 International Workshop on SHM.

Prof. Douglas Adams

Prof. Adams is currently Associate Professor of Mechanical Engineering at Purdue University. His research covers a broad range of technology development in the area of SHM for aerospace and vehicular applications.
 

 

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