Subsurface Imaging, Feature Identification and Damage Detection
This workshop will be a two day series of presentations that focus on methods for assessing subsurface conditions in civil engineering infrastructure, including structures, structural elements, roadways, dams and mines. Applications range from locating buried objects, determining as-built subsurface conditions, detecting subsurface damage and corrosion, detecting subsurface leaks, navigation for underground mining to construction quality assurance. The inherent societal importance of subsurface detection combined with advances in instrumentation, algorithms, information processing and physical modeling have led to considerable advances in the technologies at both fundamental and applied levels. Papers are solicited on topics covering subsurface sensing for civil infrastructure applications. These topics include, but are not limited to: elastic wave methods – ultrasound and vibration; electromagnetic methods – ground penetrating radar, magnetic methods and eddy current techniques; modern physics methods – neutron scattering, muon detection, quantum entanglement detection, and positron annihilation; information processing methods – inverse algorithms, multisensor fusion, data registration, and large database and large data stream management; data quality – probability of detection estimates; embedded sensing methods; theoretical modeling; and automated methods for rapid assessment – sensing with moving vehicle and robots.
Dryver Huston, Professor, University. of Vermont
Ming Wang, Professor, Northeastern University
Ralf Birken, Senior Research Scientist, Northeastern University
Ralf Arndt, Professor, FHWA and Rutgers University
Steve Cai, Professor, Louisiana State University