ANALYSIS OF STRUCTURAL HEALTHINESS USING HILBERT TRANSFORM

  • Jack Widjajakusuma Universitas Pelita Harapan, Tangerang, Indonesia

Abstract

Structural health monitoring (SHM) is a process of detecting damage of a structure with operational loads. Damage is defined as the deterioration of the material properties due to the presence of microcracks, microvoids  and  other  microdefects.  One  way  to  detect  the  damage  is  using  vibrational  based measurements. The advantage of vibration-based methods is that they can detect damage in a global sense even when the location of the damage is inaccessible. Due to the damage, the dynamic behaviour of structures is changed. The change of the dynamic behaviour can be expressed in terms of the variation of  damping  parameters  and  the  change  of  the  natural  frequencies.  The  changing  of  the  damping parameters and natural frequencies can be used to identify and quantify the structural damage. One effective technique to extract the damping parameters and natural frequencies is Hilbert transform. The advantage of Hilbert transformation is that it can be used to extract the parameters for the nonlinear vibration. In this work we highlight the advantage of the Hilbert transformation comparing to widely used Fourier transform, using different cases.

Published
2011-08-01
How to Cite
WIDJAJAKUSUMA, Jack. ANALYSIS OF STRUCTURAL HEALTHINESS USING HILBERT TRANSFORM. EACEF - International Conference of Civil Engineering, [S.l.], v. 1, p. 034, aug. 2011. Available at: <http://proceeding.eacef.com/ojs/index.php/EACEF/article/view/378>. Date accessed: 19 may 2024.
Section
Group of Structural and Construction Engineering