Effect of cyclic modeling parameters on the behavior of shape memory alloys for seismic applications

Bassem Andrawes; Jason McCormick; Reginald DesRoches

doi:10.1117/12.542540

26 July 2004 Effect of cyclic modeling parameters on the behavior of shape memory alloys for seismic applications

Bassem Andrawes, Jason McCormick, Reginald DesRoches

Proceedings Volume 5390, Smart Structures and Materials 2004: Smart Structures and Integrated Systems; (2004) https://doi.org/10.1117/12.542540
Event: Smart Structures and Materials, 2004, San Diego, CA, United States

Abstract

The cyclic behavior of shape memory alloys (SMAs) in their austenitic form is studied to determine the most appropriate method of modeling in terms of both accuracy and ease of implementation. Four different models for SMA behavior are evaluated: (a) a simple nonlinear elastic model, (b) a trigger-line model, (c) a one-dimensional thermomechanical model, and (d) a one-dimensional thermomechanical model which accounts for the behavior of SMAs under cyclic loading. Using a two degree-of-freedom bridge model with SMA restrainers and a single degree-of-freedom building model with SMA cross-braces, the effect of using the different models on the seismic response of the bridge and building is evaluated. Using a suite of nine earthquake ground motions, the displacement response histories with the four different models are compared. The results illustrate that although the models show quite different behaviors for the SMAs, the resulting responses of the bridge and building are insensitive to the type of model used. For most of the ground motion records used, the difference in the maximum displacement for the four models was less than 15%. This study lends support to the use of more simplified models when evaluating the effectiveness of the SMAs for seismic response modification.

Citation Download Citation

Bassem Andrawes, Jason McCormick, and Reginald DesRoches "Effect of cyclic modeling parameters on the behavior of shape memory alloys for seismic applications", Proc. SPIE 5390, Smart Structures and Materials 2004: Smart Structures and Integrated Systems, (26 July 2004); https://doi.org/10.1117/12.542540

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