Chaos Robustness and Strength in thermomechanical Shape Memory oscillators Part I: a Predictive Theoretical Framework for the Pseudoelastic Behavior

In this two-part paper the problem of evaluating robustness and strength of chaos in thermomechanically-based Shape Memory Oscillators (SMO) is addressed. In the first part, a theoretical analysis of the main features of the pseudoelastic loops exhibited by the underlying Shape Memory Devices (SMD) is accomplished with the aim to establish a predictive framework for accompanying numerical investigations. The analysis is based on the evaluation of suitable synthetic indicators of the SMD behavior that can be computed from the model parameters before the computation of SMO actual trajectories, and provide information about the hysteresis loops and their dependence on temperature variations. By means of such indicators, a detailed analysis of the influence of thermomechanical coupling on the rate-dependent mechanical response is presented. It is shown that a careful interpretation of the synthetic indicators permits to obtain a reasonable estimation of the influence of various model parameters on the hysteresis loop area and slopes of the pseudoelastic plateaus, that are the main global aspects influencing the occurrence of chaotic responses. In the second part, the theoretical predictions based on the synthetic indicators will be exploited to interpret the results of a systematic numerical investigation based on an enhanced version of the Method of Wandering Trajectories.

[1]  Fabrizio Vestroni,et al.  Nonlinear thermomechanical oscillations of shape-memory devices , 2004 .

[2]  B. R. Pontes,et al.  Chaos control of a nonlinear oscillator with shape memory alloy using an optimal linear control: Part I: Ideal energy source , 2009 .

[3]  John C. Wilson,et al.  Shape Memory Alloys for Seismic Response Modification: A State-of-the-Art Review , 2005 .

[4]  T. Pence,et al.  Uniaxial Modeling of Multivariant Shape-Memory Materials with Internal Sublooping using Dissipation Functions , 2005 .

[5]  Stefan Seelecke,et al.  Shape memory alloy actuators in smart structures: Modeling and simulation , 2004 .

[6]  Marcelo A. Savi,et al.  Nonlinear dynamics and chaos in coupled shape memory oscillators , 2003 .

[7]  Marcelo A. Savi,et al.  Nonlinear dynamics of a nonsmooth shape memory alloy oscillator , 2009 .

[8]  Davide Bernardini,et al.  The influence of model parameters and of the thermomechanical coupling on the behavior of shape memory devices , 2010 .

[9]  Davide Bernardini,et al.  Chaos Robustness and Strength in thermomechanical Shape Memory oscillators Part II: numerical and Theoretical Evaluation , 2011, Int. J. Bifurc. Chaos.

[10]  Fabrizio Vestroni,et al.  Non-isothermal oscillations of pseudoelastic devices , 2003 .

[11]  Davide Bernardini,et al.  Models for one-variant shape memory materials based on dissipation functions , 2002 .

[12]  Dimitris C. Lagoudas,et al.  Pseudoelastic SMA Spring Elements for Passive Vibration Isolation: Part II – Simulations and Experimental Correlations , 2004 .

[13]  Arata Masuda,et al.  An overview of vibration and seismic applications of NiTi shape memory alloy , 2002 .

[14]  D. Bernardini Models of hysteresis in the framework of thermomechanics with internal variables , 2001 .

[15]  Marcelo A. Savi,et al.  Tensile-compressive asymmetry influence on shape memory alloy system dynamics , 2008 .

[16]  Davide Bernardini,et al.  Thermomechanical modelling, nonlinear dynamics and chaos in shape memory oscillators , 2005 .