Scientific Program

Conference Series Ltd invites all the participants across the globe to attend 3rd International Conference on Smart Materials & Structures Orlando, Florida, USA.

Day 2 :

OMICS International Smart Materials 2017 International Conference Keynote Speaker Rafal Abdank-Kozubski photo

Rafal Kozubski has completed his PhD from the Jagiellonian University in Kraków in 1984. He has worked as a Post-doctorate at the Strasbourg Institute of Physics and Chemistry of Materials (IPCMS), France (1987 to 1988). He was an Academic Visitor in the Institute for Applied Physics, Swiss Federal Institute of Technology, Zurich, Switzerland (1988 and 1990). He also stayed at the Institute for Solid State Physics, University of Vienna, Austria as a Lise-Meitner Fellow from 1993 to 1995. After completing his Habilitation (DSc) from the Jagiellonian University in Kraków in 1997, he has worked there as an Associate Professor (1997-2006) and in 2006, he was appointed as Full Professor at the same university. His international experience includes International Fellowship at the Queen’s University in Belfast (2006-2008) and Visiting Professorships at the L.Pasteur University in Strasbourg/University of Strasbourg, France (2007, 2008, 2009, 2010 and 2011). In 2016, he was appointed as a Conjoint Professor of the University of Newcastle, Australia. He has published over 100 scientific papers in international reviewed journals and is an author of over 150 communications on international conferences.


Chemical ordering and diffusion are controlled by atomic migration, which in the case of solid intermetallic compounds, proceeds predominantly via elementary atomic jumps to vacancies. The macroscopic rates of both phenomena parameterized by diffusivities (diffusion) and relaxation times (chemical ordering) show temperature dependences quantified by thermodynamic activation energies usually evaluated through the Arrhenius analysis. The atomistic origin of the phenomenon consists of the thermal activation of the atomic jumps described in terms of the “activated-state-rate” theory involving the probability of the atomic displacement from the original lattice site to the intermediate lattice position corresponding to the energetic saddle point. The saddle-point energies are modeled for diverse intermetallic compounds using various concepts and techniques implemented with diverse Hamiltonians. The results are then used as parameters of Kinetic Monte Carlo simulations of ordering and diffusion, whose Arrhenius analysis yields thermodynamic activation energies. Correlation between thermodynamic activation energies for chemical ordering and diffusion and the values and relationships between the saddle-point energies is widely discussed. In particular, the origin of the relationship between the thermodynamic activation energies for ordering and Ni tracer diffusion in NiAl is elucidated in the above terms.

Keynote Forum

Genda Chen

Missouri University of Science and Technology, USA

Keynote: Lab-on-sensor concept, calibration, and application in evaluation of structural behaviors under environmental and loading conditions

Time : 10:35-11:10

OMICS International Smart Materials 2017 International Conference Keynote Speaker Genda Chen photo

Genda Chen is a Professor and Abbett Distinguished Chair in Civil Engineering and Director of System and Process Assessment Research Laboratory. He has received his PhD degree from SUNY at Buffalo in 1992 and joined Missouri S&T in 1996 after three years of bridge consulting practices. He has authored over 350 publications in structural health monitoring, structural control, interface mechanics and deterioration and multi-hazard engineering. He has received the 1998 NSF CAREER Award, the 2004 Academy of Civil Engineers Faculty Achievement Award and the 2009/2011/2013 Missouri S&T Faculty Research Awards. He is an Associate Editor of the Journal of Civil Structural Health Monitoring. He was a Member of post-disaster reconnaissance teams after the 2005 Category III Atlantic Hurricane, 2008 M7.9 China Earthquake, 2010 M8.8 Chile Earthquake and 2011 M9.0 Great East Japan Earthquake. He was elected to be ASCE Fellow in 2007 and Structural Engineering Institute (SEI) Fellow in 2013.


Statement of the Problem: Civil infrastructures are exposed to open environment and subjected to multiple hazards. They are designed for multiple structural limits or behaviors, such as fatigue, fracture, yielding, buckling, cracking, corrosion, scour and deflection in bridge designs. Each structural behavior is determined by a combination of environmental, loading and material factors. Unless completely known, the causative factors monitored in part with commercial measurement devices are insufficient to offer a practical solution for the evaluation of consistent and conclusive structural behavior. This study aims to describe our experience of exploring lab-on-sensor concepts for direct monitoring and assessment of three structural behaviors (cracking, corrosion and scour) without knowing intermediate factors.


Methodology & Theoretical Orientation: In lab-on-sensor designs, a structural behavior will be extended from a structural member to a custom-made sensor that directly relates a physical measurement to the evaluation of the behavior. The structural behaviors of the sensor and the structure are correlated experimentally.


Findings: The lab-on-sensor concept has been realized for the monitoring and assessment of cracking, corrosion and scour in bridge applications. The unique concept allows the physical measurement to be memorized on the sensor so that the measured data can be retrieved later. The dual measurements in real time and later ensure the reliability of the physical measurement that is required in long-term monitoring of structural behaviors. As an example, nano iron particles are coated on a long period fiber grating sensor and once immersed in corrosive environment; the resonant wavelength shift can be consistently related to the corrosion process of iron particles.


Conclusion & Significance: Lab-on-sensor concept can offer the measurement of critical data that are directly related to structural conditions without requiring sophisticated data analysis. It would be easy for adoption by practical engineers and potentially provide a unique tool for aging infrastructure maintenance.

Break: Coffee Break 11:10-11:25 @ Foyer