Journal of Japan Society of Civil Engineers, Ser. A2 (Applied Mechanics (AM))
Online ISSN : 2185-4661
ISSN-L : 2185-4661
Journal of Applied Mechanics Vol.16 (Special Feature)
The study about damage level detection method by using the vibration prediction
Hiroshi HattoriTakuma MatsuyamaKen BesshoMasashi OkanoHiromichi ShiratoTomomi Yagi
Author information
JOURNAL FREE ACCESS

2013 Volume 69 Issue 2 Pages I_741-I_749

Details
Abstract
In this paper, an attempt is made to develop a structural health monitoring system that can adapt to the structural systems and environments, by introducing the learning ability. This learning ability facilitates a monitoring paradigm without a need for preliminary investigation of the underlying structure and environment. The proposed system learns the vibration response by using neural network. The neural networks predicts the next state of structural behavior from the current state of structural behavior. Several numerical examples are presented to demonstrate the efficiency and applicability of the proposed system. Through the numerical examples, it is concluded that the proposed system can identify the change of structural characteristics and condition states.
Content from these authors
© 2013 by Japan Society of Civil Engineers
Previous article Next article
feedback
Top