000010460 001__ 10460
000010460 005__ 20141205155729.0
000010460 04107 $$aeng
000010460 046__ $$k2008-10-12
000010460 100__ $$aKaramodin, Abbas
000010460 24500 $$aDamage Index Monitoring of Structures Using Neural Networks

000010460 24630 $$n14.$$pProceedings of the 14th World Conference on Earthquake Engineering
000010460 260__ $$b
000010460 506__ $$arestricted
000010460 520__ $$2eng$$aA seismic damage index monitoring system is presented in this paper. The method is based on artificial neural networks and measured responses of the structure. Park & Ang damage index is selected for monitoring the damage at each story of the structure. The system is consisted of two neural networks. The input to the first NN is the maximum drift of each story and the output is the damage due to maximum drift of the story. Also the input to the second NN is the differential drift and the sum of the accelerations of stories above each story. The Output of the second NN is the cumulative damage of the story. The data needed for training of neural networks are collected from analysis of a simulated model of the structure under different earthquake records. The damage index in each analysis is computed from analytical method. The performance of damage detection system is determined from comparison of damage index computed from analytical method to one determined by neural networks in a three story benchmark building. Through this study, it is shown that the proposed approach has the potential of being a practical tool for damage monitoring methodology applied to smart civil structures.

000010460 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000010460 653__ $$aDamage Index, Monitoring, Neural Network, Earthquake

000010460 7112_ $$a14th World Conference on Earthquake Engineering$$cBejing (CN)$$d2008-10-12 / 2008-10-17$$gWCEE15
000010460 720__ $$aKaramodin, Abbas$$iHaji-Kazemi, Hasan$$iAkbarzadeh, Mohammad-Reza
000010460 8560_ $$ffischerc@itam.cas.cz
000010460 8564_ $$s433778$$uhttps://invenio.itam.cas.cz/record/10460/files/09-01-0171.pdf$$yOriginal version of the author's contribution as presented on CD, Paper ID: 09-01-0171.
000010460 962__ $$r9324
000010460 980__ $$aPAPER