Interval response data based system identification of multi storey shear buildings using interval neural network modelling

  • S. Chakraverty
  • Deepti Moyi Sahoo

Abstract

This paper uses artificial neural network (ANN) technique for the identification of structural parameters of multistorey shear buildings. First, the identification has been done using response of the structure subject to ambient vibration with interval initial condition. Then, forced vibration with horizontal displacement in interval form has been used to investigate the identification procedure. The neural network has been trained by a methodology so as to handle interval data. This is because, in general we may not get the corresponding input and output values exactly (in crisp form) but we may only have the uncertain information of the data. These uncertain data are assumed in term of interval and the corresponding problem of system identification is investigated. The model has been developed for multistorey shear structure and the procedure is tested for the identification of the stiffness parameters of simple example problem using the prior values of the design parameters.

Keywords

identification, inverse vibration, modeling, interval neural network, shear buildings, structures,

References

Published
Jan 25, 2017
How to Cite
CHAKRAVERTY, S.; SAHOO, Deepti Moyi. Interval response data based system identification of multi storey shear buildings using interval neural network modelling. Computer Assisted Methods in Engineering and Science, [S.l.], v. 21, n. 2, p. 123-140, jan. 2017. ISSN 2299-3649. Available at: <https://cames.ippt.pan.pl/index.php/cames/article/view/47>. Date accessed: 26 jan. 2022.
Section
Articles