OPTIMIZATION FOR
PREDICTABLE ENERGY ABSORPTION IN COMPOSITE STRUCTURES (No. 111)
TIME:
3:30 PM
LOCATION:
GMCS-214
SPEAKER:
SatchiVenkataraman
Department of AerospaceEngineering San DiegoStateUniversity
ABSTRACT:
Predicting crash response of complex structures is
challenging even for metal structures. This difficulty in predicting crash
behavior arises from the multitude of competing failure paths in a complex
structure. For composite materials this problem worsens because each
composite laminate is a multi-load-path component with a number of failure modes
that combine to produce myriad of progressive failure paths. This not only
makes it difficult to design composite structures for maximum energy
absorption. It also makes it difficult to design tests that characterize
complex failure modes that occur after the laminate is weakened by partial
failures (such as matrix cracking).
The presentation will first show that deterministic design of composite
laminates for maximum energy absorption is likely to lead to designs that are
extremely sensitive to small variations in loading and material properties.
Consequently, the progressive failure of these laminates is very
unpredictable, and the inevitable imperfections in manufacturing will greatly
reduce energy absorption. Next we will show that with small sacrifice in
deterministic performance, it is possible to find laminates that have
predictable behavior, in that their energy absorption is robust with respect
to imperfections. We will conclude that this robustness would be useful in
both the design for crash and the design of tests intended to characterize
the complex progressive failure modes of composite structures.
SatchiVenkataraman is a
faculty member of the aerospace engineering and engineering mechanics
department at San DiegoStateUniversity.
His current research is in failure predictability optimization in laminated
composites and reliability based design optimization.