Paper Title:
Online Identification with Least Square Method for Pseudo-Dynamic Tests
  Abstract

Numerical substructures adopt predetermined hysteretic models for conventional substructure testing (CST). It is difficult to achieve accurate results in CST due to errors from modelling of numerial substructures. To diminish the negative effect caused by the assumed restoring model, online identification with least square method using experimental data was adopted to update the model of numerical substructure. The effectiveness of least square method are verified with pseudo-dynamic substructure testing for single story frame with a buckling-restrained brace. The results indicate that the on-line identification algorithm based least square method has good accuracy, stability, and efficiency.

  Info
Periodical
Advanced Materials Research (Volumes 250-253)
Edited by
Guangfan Li, Yong Huang and Chaohe Chen
Pages
2455-2459
DOI
10.4028/www.scientific.net/AMR.250-253.2455
Citation
T. Wang, B. Wu, J. Zhang, "Online Identification with Least Square Method for Pseudo-Dynamic Tests", Advanced Materials Research, Vols. 250-253, pp. 2455-2459, 2011
Online since
May 2011
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Price
$32.00
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