Published June 2008 | Version v1
Journal article

Large scale testing of nitinol shape memory alloy devices for retrofitting of bridges

  • 1. Department of Civil and Environmental Engineering, University of Nevada, Reno, 89557-0258 (United States)
  • 2. Department of Civil and Environmental Engineering, Rice University, Houston, TX 77005 (United States)
  • 3. School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0355 (United States)

Description

A large scale testing program was conducted to determine the effects of shape memory alloy (SMA) restrainer cables on the seismic performance of in-span hinges of a representative multiple-frame concrete box girder bridge subjected to earthquake excitations. Another objective of the study was to compare the performance of SMA restrainers to that of traditional steel restrainers as restraining devices for reducing hinge displacement and the likelihood of collapse during earthquakes. The results of the tests show that SMA restrainers performed very well as restraining devices. The forces in the SMA and steel restrainers were comparable. However, the SMA restrainer cables had minimal residual strain after repeated loading and exhibited the ability to undergo many cycles with little strength and stiffness degradation. In addition, the hysteretic damping that was observed in the larger ground accelerations demonstrated the ability of the materials to dissipate energy. An analytical study was conducted to assess the anticipated seismic response of the test setup and evaluate the accuracy of the analytical model. The results of the analytical simulation illustrate that the analytical model was able to match the responses from the experimental tests, including peak stresses, strains, forces, and hinge openings

Availability note (English)

Available from http://dx.doi.org/10.1088/0964-1726/17/3/035018

Additional details

Identifiers

DOI
10.1088/0964-1726/17/3/035018;
PII
S0964-1726(08)68101-X;

Publishing Information

Journal Title
Smart Materials and Structures (Print)
Journal Volume
17
Journal Issue
3
Journal Page Range
[10 p.]
ISSN
0964-1726