Page 7 - ASME SMASIS 2016 Program

Keynote Speakers

Signal Processing, and Control and served as Technical and General Chair
WEDNESDAY, SEPTEMBER 28, 2016 of the 2014 and 2015 SMASIS conferences. His research areas include
Presentation: Uncertainty Quantification for Smart Materials and mathematical modeling of smart material systems, numerical analysis and
Adaptive Structures methods for physical systems, Bayesian model calibration, sensitivity
Time: 8:00AM–9:00AM Room: Tamarack C analysis, control design, and uncertainty quantification.

Ralph Smith
Department of Mathematics THURSDAY, SEPTEMBER 29, 2016
North Carolina State University Presentation: Shape Memory Alloys in Aerospace: Breakthroughs and
Raleigh, NC Roadblocks to Innovation
Time: 8:00AM–9:00AM Room: Tamarack C

Abstract
This talk will focus on concepts pertaining to uncertainty quantification James H. Mabe
(UQ) for smart materials and adaptive structures. Pertinent issues are first Technical Fellow
illustrated in the context of applications utilizing piezoelectric and shape Boeing Research and Technology
memory alloy actuators, finite-deformation viscoelastic models, X-ray St. Louis Missouri
crystallography, and quantum-informed continuum models. This will
demonstrate that the basic UQ goal is to ascertain uncertainties inherent
to parameters, initial and boundary conditions, experimental data, and Abstract
models themselves to make predictions with improved and quantified For years the promise of Shape Memory Alloy actuators as an enabling
accuracy. The use of data, to improve the predictive accuracy of models, technology has seemed poised to revolutionize the design of adaptive
is central to uncertainty quantification so it is natural to next provide an structures and smart systems for aircraft. The Variable Geometry Chevron
overview of how Bayesian techniques can be used to construct distribu- (VGC) 777 flight tests in 2005 and the Adaptive Trailing Edge (ATE) 737
tions for model inputs. The discussion will subsequently focus on flight test in 2012 clearly demonstrated a high technology readiness level
computational techniques to propagate these distributions through (TRL) for SMA actuator systems. These flight tests confirmed that the
complex models to construct prediction intervals for statistical quantities unique capabilities of SMA technology can enable solutions for challeng-
of interest such as expected stresses in viscoelastic materials, displace- ing aerospace applications and help meet important current and future
ments in macro-fiber composites, and strains in SMA tendons. The use of performance objectives, including reduced aircraft emissions and
sensitivity analysis to isolate critical model inputs and reduce model improved efficiency. Other significant advances in the area of SMA
complexity is synergistic with uncertainty quantification and will be actuators and materials technology have also been achieved. These
discussed next. The talk will conclude with discussion detailing how include improved materials, better tools for design and simulation,
uncertainty quantification can be used to improve robust control designs enhanced control methods, and improved analysis. Yet despite so many
for smart material systems. advances in SMA technology there remain very few SMA actuator
applications in production.

In this presentation Mr. Mabe will discuss many of the challenges faced
Biography while developing SMA technology for the aerospace industry, including a
Ralph Smith received his PhD in Applied Mathematics from Montana State look at some of his successful and not so successful ventures from the last
University in 1990. Following a three-year postdoctoral position at the several years. He will give examples of the barriers that have been
Institute for Computer Applications in Science and Engineering (ICASE) at overcome with persistent research and development efforts as well as
NASA Langley Research Center, he was an Assistant Professor in the examples of roadblocks that continue to not only hinder the transition of
Department of Mathematics at Iowa State University. He joined the North SMA technology to the production environment, but have also slowed
Carolina State University faculty in 1998 and, from 2005-08, he served as acceptance of SMA technology by the wider field of aerospace engineer-
Associate Director of the Statistical and Applied Mathematical Sciences ing. He will describe how the SMA research community of academia,
Institute (SAMSI). In 2014, he was named a Distinguished Professor of industry, and government partners have worked together to overcome
Mathematics at NCSU.
barriers, and must continue to work together to overcome those that
Smith is Editor-in-Chief of the SIAM book series on Advances in Design remain.
and Control and is on the editorial boards of the Journal of Intelligent Mr. Mabe will conclude with recommendations for future technology devel-
Material Systems and Structures, the SIAM/ASA Journal on Uncertainty opment and collaboration.
Quantification and Dynamics of Continuous, Discrete and Impulsive
Systems B. He is co-author of the research monograph Smart Material
Structures: Modeling, Estimation and Control and author of the books
Smart Material Systems: Model Development and Uncertainty Quantifica- Biography
tion: Theory, Implementation, and Applications. Smith was Chair of the Mr. Mabe is currently a Technical Fellow (TF) for Boeing Research and 7
2003 and 2004 SPIE Smart Structures/NDE Conference on Modeling, Technology (BR&T) in St Louis Missouri. He is a Boeing Subject Matter