Subspace algorithms for the stochastic identification problem
Automatica (Journal of IFAC)
Damage detection of truss bridge joints using Artificial Neural Networks
Expert Systems with Applications: An International Journal
Nature-Inspired Metaheuristic Algorithms
Nature-Inspired Metaheuristic Algorithms
Two-stage structural damage detection using fuzzy neural networks and data fusion techniques
Expert Systems with Applications: An International Journal
A hybrid immune model for unsupervised structural damage pattern recognition
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
Damage in structural systems induced by vibrations, alternating load cycles, temperature changes, corrosion, etc., constitute a serious technical problem. Smart methods of control and structural health monitoring (SHM) for large structures are, therefore, highly needed. In certain structural applications, moreover, a lack of access to the damaged area imposes an additional constraint on damage identification procedures. One method that may fulfill those requirements is dynamic nondestructive testing, which consists of monitoring changes in the structure's natural frequencies, vibration modes and damping. In this paper, a new approach for vibration-based (SHM) procedures is presented, in an ambient vibration context; this method combines a time domain modal identification technique (SSI) with the evolutionary harmony search algorithm. A series of numerical examples with different damage scenarios and noise levels have been carried out under impact and ambient vibration. Thereafter, an experimental study of three cantilever beams with several different damage scenarios is conducted and the proposed methodology has shown potential for use in the damage diagnosis assessment of the remaining structural life.