Page 17 - ASME SMASIS 2016 Program

Symposia

Biography Biography
Dr. Ed Habtour, P.E. is the Technical Assistant to the Director for ARL Chief
Scientist, while on one-year leave from leading the Prognostics and Dr. Jerome Lynch is a Professor of Civil and Environmental Engineering at
Diagnostics Team in the Vehicle Technology Directorate at ARL. Ed focuses the University of Michigan; he is also a Professor of Electrical Engineering
on developing mathematical and experimental techniques to predict the and Computer Science by courtesy. Dr. Lynch completed his graduate
dynamical response of aging mechanical systems with emphasis on studies at Stanford University where he received his Ph.D. in Civil and
enhancing their reliability. Prior to joining ARL, Ed has held technical Environmental Engineering in 2002, M.S. in Civil and Environmental
positions at the Space Dynamics Laboratory, ATK (formally Swales Engineering in 1998, and M.S. in Electrical Engineering in 2003. Prior to
Aerospace), Northrop Grumman, L3-Communications and Army Materiel attending Stanford, Dr. Lynch received his B.E. in Civil and Environmental
System Activity Analysis (AMSAA). He earned his bachelor’s degree in Engineering from the Cooper Union in New York City. His current research
Mechanical Engineering at Utah State University. He also earned three interests are in the areas of wireless cyber-physical systems, cyberinfra-
master’s degrees in Mechanical Engineering and Computational Engineer- structure tools for management of structural monitoring datasets, and
ing from Johns Hopkins University, Purdue University, and University of nanoengineered thin film sensors for damage detection and structural
Maryland. He completed his doctorate in Mechanical Engineering at the health monitoring. Dr. Lynch has been awarded the 2005 ONR Young
University of Maryland, where he focus on damage precursors in structures Investigator Award, 2009 NSF CAREER Award, 2009 Presidential Early
exposed to multi-axial vibrations. Ed is a senior member of IEEE and Career Award for Scientists and Engineers (PECASE), 2012 ASCE EMI
Reliability Society, and a member of ASME, ASCE/EMI, and SIAM. He has Leonardo da Vinci Award and 2014 ASCE Huber Award.
served in international technical committees and review panels. He
published several technical papers and received several awards for his
contributions in physics of failure and multiaxial vibrations. FATIGUE CRACK DETECTION USING NONLINEAR ULTRASONIC
MODULATION

ADVANCES IN MOBILE SENSING FOR CIVIL INFRASTRUCTURE Hoon Sohn
MONITORING APPLICATIONS
Civil and Environmental Engineering
KAIST, South Korea
Jerome P. Lynch
Department of Civil and Environmental Engineering
Department of Electrical Engineering and Computer
Science Abstract
University of Michigan In this presentation, a number of fatigue crack detection techniques are
Ann Arbor, MI developed based on nonlinear ultrasonic modulation for online structural
health monitoring and periodic nondestructive testing of metaling
structures. First, the working principle of nonlinear ultrasonic modulation
Abstract and its binding conditions are briefly reviewed. Then, a self-sufficient and
Tremendous excitement surrounds the use of wireless telemetry in self-contained wireless sensor is developed, and its application to online
modern monitoring and control systems. In the domain of civil infrastruc- monitoring of Yeongjong Grand Bridge in South Korea is presented. The
ture, wireless interfaces come with many benefits centered on the sensor unit can detect fatigue crack at its early stage (less than 0.1 mm
eradication of wiring including allowing sensors to be mobile. This wide), and energy necessary for its operation is harnessed from ambient
presentation focuses on recent work in mobile wireless sensor networks sun light and bridge vibration. Also, a fully noncontact laser ultrasonic
that are designed to have seamless interaction with stationary wireless scanning system and associated algorithms are developed for noncontact
monitoring and control systems. Multiple applications of mobile wireless inspection of micro crack in metallic specimens. In particular, a unique
sensor networks are presented for the management of civil infrastructure combination of binary search and compress sensing is developed so that
systems. In the first, an unmanned aerial vehicle (UAV) platform is scanning time can be significantly reduced (over 90%). Finally, another
developed for the deployment and collection of data from a wireless monitoring system is developed for online monitoring of rotating shafts in
sensor network. The UAV-wireless sensor system is designed to be automobile manufacturing facilities using noncontact air coupled
automated with the UAV having the capability of deploying and reconfigur- transducers.
ing wireless sensor networks based on measurements. The system is
customized for the generation of shear waves in geotechnical (i.e., soil)
systems to characterize sub-surface properties based on shear waves
recorded by UAV-deployed wireless sensors. A second application Biography
presented is the embedment of wireless sensors in vehicles to monitor Hoon Sohn received his B.S. (1992) and M.S. (1994) degrees from Seoul
vehicle dynamics and their interaction with road infrastructure including National University, Seoul Korea and Ph.D. (1999) from Stanford University,
pavements and bridges. The truck-based monitoring system is capable of California, USA, all in Civil Engineering. He worked at Los Alamos National
direct communication with stationary wireless sensor networks installed in Laboratory (LANL) from 1999 to 2004 as a Technical Staff Member and
bridges for structural health monitoring. The coupling of the two networks in the Civil and Environmental Engineering Department at Carnegie 17
allow for acquisition of vehicular loads on the bridge. Mellon University for 2004-2006 as an Assistant Professor. He is now