Published September 1, 2019 | Version v1
Journal article

Performance of tuned tandem mass dampers based on shape memory alloy

  • 1. Department of Civil Engineering, Shanghai University, Shanghai, 200444 (China)

Description

Tuned tandem mass dampers based on shape memory alloy (SMA-TTMD) are proposed in this paper. The SMA-TTMD is formed by replacing the connection damping between two mass blocks in the TTMD with a shape memory alloy spring. Firstly, the stochastic equivalent linearization of non-linear SMA is presented. It is attached to a single-degree-of-freedom structure excited by stationary filtered white noise to study the performance of SMA-TTMD. Based on the minimum displacement variance of the main structure, the structure random vibration method is used to study the optimal control performance. The effectiveness and stroke of the SMA-TTMD under the changes of mass ratios are studied, and the optimal parameters of the system are proposed. The results are compared with those of TTMD. The numerical analysis shows that the control performance of SMA-TTMD is better than that of TTMD. The results demonstrate that the stroke of SMA-TTMD is obviously superior to that of TTMD. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1755-1315/304/5/052014

Additional details

Publishing Information

Journal Title
IOP Conference Series: Earth and Environmental Science (Online)
Journal Volume
304
Journal Issue
5
Journal Page Range
[7 p.]
ISSN
1755-1315

Conference

Title
International Conference on Civil and Hydraulic Engineering
Dates
10-12 May 2019
Place
Nanjing (China)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
53069055
Subject category
S36: MATERIALS SCIENCE; S42: ENGINEERING;
Resource subtype / Literary indicator
Conference
Descriptors DEI
ALLOYS; DAMPING; DEGREES OF FREEDOM; FILTERS; NUMERICAL ANALYSIS; OPTIMAL CONTROL; PERFORMANCE; SHAPE MEMORY EFFECT; STOCHASTIC PROCESSES
Descriptors DEC
CONTROL; MATHEMATICS