Paper
2 April 2012 Time domain nonlinear SMA damper force identification approach and its numerical validation
Lulu Xin, Bin Xu
Author Affiliations +
Proceedings Volume 8409, Third International Conference on Smart Materials and Nanotechnology in Engineering; 84090W (2012) https://doi.org/10.1117/12.923331
Event: Third International Conference on Smart Materials and Nanotechnology in Engineering, 2011, Shenzhen, China
Abstract
Most of the currently available vibration-based identification approaches for structural damage detection are based on eigenvalues and/or eigenvectors extracted from vibration measurements and, strictly speaking, are only suitable for linear system. However, the initiation and development of damage in engineering structures under severe dynamic loadings are typical nonlinear procedure. Studies on the identification of restoring force which is a direct indicator of the extent of the nonlinearity have received increasing attention in recent years. In this study, a date-based time domain identification approach for general nonlinear system was developed. The applied excitation and the corresponding response time series of the structure were used for identification by means of standard least-square techniques and a power series polynomial model (PSPM) which was utilized to model the nonlinear restoring force (NRF). The feasibility and robustness of the proposed approach was verified by a 2 degree-of-freedoms (DOFs) lumped mass numerical model equipped with a shape memory ally (SMA) damper mimicking nonlinear behavior. The results show that the proposed data-based time domain method is capable of identifying the NRF in engineering structures without any assumptions on the mass distribution and the topology of the structure, and provides a promising way for damage detection in the presence of structural nonlinearities.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lulu Xin and Bin Xu "Time domain nonlinear SMA damper force identification approach and its numerical validation", Proc. SPIE 8409, Third International Conference on Smart Materials and Nanotechnology in Engineering, 84090W (2 April 2012); https://doi.org/10.1117/12.923331
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KEYWORDS
Shape memory alloys

Complex systems

Structural engineering

Performance modeling

Systems modeling

Damage detection

Mechanics

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