000004998 001__ 4998
000004998 005__ 20141120140002.0
000004998 04107 $$aeng
000004998 046__ $$k2008-06-25
000004998 100__ $$aFuruta, Hitoshi
000004998 24500 $$aBRIDGE MANAGEMENT USING STRUCTURAL HEALTH MONITORING

000004998 24630 $$n4.$$pProceedings of the 4th International ASRANet Colloquium
000004998 260__ $$bASRANet Ltd., 2008
000004998 506__ $$arestricted
000004998 520__ $$2eng$$aIn this study, an attempt is made to develop an optimal maintenance planning system that can account for the seismic risk. In the proposed system, an optimal maintenance scheduling is obtained with the aid of Genetic Algorithm (GA) and the system can update the maintenance schedule by using the data given from the health monitoring. By updating the maintenance schedule, the seismic risk can be reduced. Several numerical examples are presented to demonstrate the applicability and efficiency of the proposed method.

000004998 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000004998 653__ $$a

000004998 7112_ $$a4th International ASRANet Colloquium$$cAthens (GR)$$d2008-06-25 / 2008-06-27$$gASRANet4
000004998 720__ $$aFuruta, Hitoshi$$iHattori, Hiroshi$$iOhama, Takuya$$iYoshida, Kohei
000004998 8560_ $$ffischerc@itam.cas.cz
000004998 8564_ $$s245087$$uhttps://invenio.itam.cas.cz/record/4998/files/036_Ohama,_Takuya.pdf$$yOriginal version of the author's contribution as presented on CD, paper No. 36.
000004998 962__ $$r4967
000004998 980__ $$aPAPER