Progress on Study and Application of Shape Memory Alloy in Passive Energy Dissipation

2012 ◽  
Vol 198-199 ◽  
pp. 3-8
Author(s):  
Yu Hong Ling ◽  
Hong Hua Ling
Keyword(s):  
Energy Dissipation ◽  
Shape Memory Alloy ◽  
Shape Memory ◽  
Structural Vibration ◽  
Application Research ◽  
Structural Vibration Control ◽  
The Past ◽  
Passive Energy Dissipation ◽  
Passive Devices ◽  
Unique Shape

Shape memory alloy (SMA) has a good application prospect in structural vibration control due to its unique shape memory effect and superelasticity. First, the characteristics of SMA is briefly introduced. This paper then reviews research results on SMA for passive energy dissipation in the past decades, including development of different mechanisms of SMA-based passive devices and their performance tests and application research. Finally, application of SMA for passive energy dissipation is prospected.

Study on Structural Vibration Control by Using Shape Memory Alloy

2009 ◽  
Vol 417-418 ◽  
pp. 229-232 ◽  
Author(s):  
Bo Zhou ◽  
Yan Ju Liu ◽  
Guang Ping Zou ◽  
Jin Song Leng
Keyword(s):  
Phase Transformation ◽  
Energy Dissipation ◽  
Shape Memory Alloy ◽  
Shape Memory ◽  
Passive Control ◽  
Transformation Model ◽  
Basic Knowledge ◽  
Structural Vibration ◽  
Beam Structure ◽  
Structural Vibration Control

Shape memory alloy is a good candidate for realizing the passive control of structural vibration due to its excellent characteristic of energy dissipation. In this paper, the damping characteristic of shape memory alloy is quantitatively described based on Liang’s phase transformation model and thermo-mechanical constitutive equation for shape memory alloy. The vibration performances of a beam structure with shape memory alloy damper are investigated based on basic knowledge of vibration theorem. Numerical calculations show that the vibration of beam structure is well reduced by using the shape memory alloy damper.

Structural vibration control by shape memory alloy damper

2003 ◽  
Vol 32 (3) ◽  
pp. 483-494 ◽  
Author(s):  
Yu-Lin Han ◽  
Q. S. Li ◽  
Ai-Qun Li ◽  
A. Y. T. Leung ◽  
Ping-Hua Lin
Keyword(s):  
Shape Memory Alloy ◽  
Shape Memory ◽  
Vibration Control ◽  
Structural Vibration ◽  
Structural Vibration Control

Application of Magnetic Control Shape Memory Alloy in Structural Vibration Control

2014 ◽  
Vol 577 ◽  
pp. 66-70
Author(s):  
Jin Sheng He ◽  
She Liang Wang ◽  
Guang Yaun Weng
Keyword(s):  
Shape Memory Alloy ◽  
Shape Memory ◽  
Vibration Control ◽  
Civil Engineering ◽  
Structural Vibration ◽  
Engineering Structure ◽  
Civil Engineering Structure ◽  
Structural Vibration Control ◽  
Development Direction ◽  
Control Application

In order to effectively use Magnetically Controlled Shape Memory Alloy (MSMA) for vibration control in civil engineering structure, the deformation mechanism and dynamic characteristics of the MSMA were studied; research methods apply to the constitutive relation of vibration control in civil engineering structure is given. Based on the study about MSMA vibration controller and its application in structural vibration control in engineering, MSMA in structure vibration control application prospect and development direction are introduced. At the same time, for the difficulties existing in the application are discussed in this paper. The results prove that MSMA materials in structural vibration control are of important value.

scholarly journals Optimized Neural Network Prediction Model of Shape Memory Alloy and Its Application for Structural Vibration Control

Materials ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 6593
Author(s):  
Meng Zhan ◽  
Junsheng Liu ◽  
Deli Wang ◽  
Xiuyun Chen ◽  
Lizhen Zhang ◽  
...  
Keyword(s):  
Neural Network ◽  
Mathematical Model ◽  
Shape Memory Alloy ◽  
Prediction Model ◽  
Shape Memory ◽  
Structural Vibration ◽  
Absorption Effect ◽  
Structural Vibration Control ◽  
Neural Network Prediction ◽  
Network Prediction

The traditional mathematical model of shape memory alloy (SMA) is complicated and difficult to program in numerical analysis. The artificial neural network is a nonlinear modeling method which does not depend on the mathematical model and avoids the inevitable error in the traditional modeling method. In this paper, an optimized neural network prediction model of shape memory alloy and its application for structural vibration control are discussed. The superelastic properties of austenitic SMA wires were tested by experiments. The material property test data were taken as the training samples of the BP neural network, and a prediction model optimized by the genetic algorithm was established. By using the improved genetic algorithm, the position and quantity of the SMA wires were optimized in a three-storey spatial structure, and the dynamic response analysis of the optimal arrangement was carried out. The results show that, compared with the unoptimized neural network prediction model of SMA, the optimized prediction model is in better agreement with the test curve and has higher stability, it can well reflect the effect of loading rate on the superelastic properties of SMA, and is a high precision rate-dependent dynamic prediction model. Moreover, the BP network constitutive model is simple to use and convenient for dynamic simulation analysis of an SMA passive control structure. The controlled structure with optimized SMA wires can inhibit the structural seismic responses more effectively. However, it is not the case that the more SMA wires, the better the shock absorption effect. When SMA wires exceed a certain number, the vibration reduction effect gradually decreases. Therefore, the seismic effect can be reduced economically and effectively only when the number and location of SMA wires are properly configured. When four SMA wires are arranged, the acceptable shock absorption effect is obtained, and the sum of the structural storey drift can be reduced by 44.51%.

Structural Vibration Control of Shape Memory Alloy in Martensite-Austenite Coexisting

2012 ◽  
Vol 253-255 ◽  
pp. 518-523
Author(s):  
Zhen Yu Liang ◽  
Bo Xing
Keyword(s):  
Computer Simulation ◽  
Numerical Analysis ◽  
Shape Memory Alloy ◽  
Shape Memory ◽  
Vibration Control ◽  
Mechanical Model ◽  
Simulation Analysis ◽  
Structural Vibration ◽  
Structural Vibration Control ◽  
Basic Characteristics

This essay introduced that shape memory alloy in martensite-austenite coexisting was use to control the structural vibration. The proportion of martensite and austenite in shape memory alloy was selected which could realize the two basic characteristics of shape memory alloy. Based on Liang model, the mechanical model of shape memory alloy was established. The computer simulation analysis of the structure was achieved by using Matlab, and the result of numerical analysis proved that shape memory alloy in martensite-austenite coexisting could effect structural vibration control.

scholarly journals Recentering Shape Memory Alloy Passive Damper for Structural Vibration Control

2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Hui Qian ◽  
Hongnan Li ◽  
Gangbing Song ◽  
Wei Guo
Keyword(s):  
Energy Dissipation ◽  
Shape Memory Alloy ◽  
Shape Memory ◽  
Structural Control ◽  
Structural Response ◽  
Time History ◽  
Nonlinear Time History Analysis ◽  
Structural Vibration ◽  
Seismic Protection ◽  
Building Structures

This paper presents a preliminary study on the evaluation of an innovative energy dissipation system with shape memory alloys (SMAs) for structural seismic protection. A recentering shape memory alloy damper (RSMAD), in which superelastic nitinol wires are utilized as energy dissipation components, is proposed. Improved constitutive equations based on Graesser and Cozzarelli model are proposed for superelastic nitinol wires used in the damper. Cyclic tensile-compressive tests on the damper with various prestrain under different loading frequencies and displacement amplitudes were conducted. The results show that the hysteretic behaviors of the damper can be modified to best fit the needs for passive structural control applications by adjusting the pretension of the nitinol wires, and the damper performance is not sensitive to frequencies greater than 0.5 Hz. To assess the effectiveness of the dampers for structural seismic protection, nonlinear time history analysis on a ten-story steel frame with and without the dampers subjected to representative earthquake ground motions was performed. The simulation results indicate that superelastic SMA dampers are effective in mitigating the structural response of building structures subjected to strong earthquakes.

scholarly journals Experimental and Numerical Analysis of the Mechanical Properties of a Pretreated Shape Memory Alloy Wire in a Self-Centering Steel Brace

Processes ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 80
Author(s):  
Bo Zhang ◽  
Sizhi Zeng ◽  
Fenghua Tang ◽  
Shujun Hu ◽  
Qiang Zhou ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Elastic Modulus ◽  
Energy Dissipation ◽  
Shape Memory Alloy ◽  
Shape Memory ◽  
Loading Rate ◽  
Effective Elastic Modulus ◽  
Maximum Energy ◽  
Numerical Results ◽  
Energy Dissipation Capacity

As a stimulus-sensitive material, the difference in composition, fabrication process, and influencing factors will have a great effect on the mechanical properties of a superelastic Ni-Ti shape memory alloy (SMA) wire, so the seismic performance of the self-centering steel brace with SMA wires may not be accurately obtained. In this paper, the cyclic tensile tests of a kind of SMA wire with a 1 mm diameter and special element composition were tested under multi-working conditions, which were pretreated by first tensioning to the 0.06 strain amplitude for 40 cycles, so the mechanical properties of the pretreated SMA wires can be simulated in detail. The accuracy of the numerical results with the improved model of Graesser’s theory was verified by a comparison to the experimental results. The experimental results show that the number of cycles has no significant effect on the mechanical properties of SMA wires after a certain number of cyclic tensile training. With the loading rate increasing, the pinch effect of the hysteresis curves will be enlarged, while the effective elastic modulus and slope of the transformation stresses in the process of loading and unloading are also increased, and the maximum energy dissipation capacity of the SMA wires appears at a loading rate of 0.675 mm/s. Moreover, with the initial strain increasing, the slope of the transformation stresses in the process of loading is increased, while the effective elastic modulus and slope of the transformation stresses in the process of unloading are decreased, and the maximum energy dissipation capacity appears at the initial strain of 0.0075. In addition, a good agreement between the test and numerical results is obtained by comparing with the hysteresis curves and energy dissipation values, so the numerical model is useful to predict the stress–strain relations at different stages. The test and numerical results will also provide a basis for the design of corresponding self-centering steel dampers.

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