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Tonelli, R., Chua, L.O., Melom, F. "From bifurcations to Chua's periodic table," Modeling and Numerical Simulation of Materials Behavior and Evolution.
Nevertheless, high-throughput mechanical characterization data from combinatorial micro-scale samples still reflect the dependence trend of the mechanical properties on compositions and microstructure, which facilitates the understanding of intrinsic materials behavior and the fast screening of bulk mechanical properties.
Moreover, the results of the CART analysis provide an insight into the relationships and interactions between the materials variables and the insight will be beneficial to understanding materials behavior and useful in materials design.
Creep-fatigue evaluation methodologies for those materials are being developed concentrating on capturing long-term materials behavior and strength so that the evaluation of 60-year design is justified, and simplified evaluation methods for strain ranges and stress relaxation behaviors applicable to JSFR structures which have various configurations and loading conditions are also being developed.
"Conformational Mechanics of Stimulus-Responsive Polypeptides". Smart Structures and Materials 2005: Active Materials: Behavior and Mechanics 5053: 31-40.
Smith, DR; D'Angelo, JP; Lee, K; Sturmfels, R, Actuator-based vibration control using position feedback, Smart Structures and Materials 2005: Active Materials: Behavior and Mechanics, vol. 3668 no.
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Explores the role of modeling and simulation in understanding material behavior and the design of new materials.
Near-surface phenomena extend from the surface to subsurface regions and influence material behavior and performance.
Plastic material behavior and the forming limits are studied at elevated temperatures.
Unfortunately, their non-linear material behavior and large deformations make actual devices difficult to model.
However, these methods are based on simplifying assumptions regarding material behavior and repair conditions.
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