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Journal of the Korea Concrete Institute

J Korea Inst. Struct. Maint. Insp.
  • Indexed by
  • Korea Citation Index (KCI)
Title Abnormal Response Analysis of a Cable-Stayed Bridge using Gradual Bilinear Method
Authors 김병철(Byeong-Cheol Kim) ; 박기태(Ki-Tae Park) ; 김태헌(Tae-Heon Kim) ; 황지현(Ji-Hyun Hwang)
DOI http://dx.doi.org/10.11112/jksmi.2014.18.6.060
Page pp.60-71
ISSN 2234-6937
Keywords 사장교 ; 이상거동 ; 케이블손상 ; Gradual Bilinear Method ; 직접적분법 Cable stayed bridge ; Abnormal behavior ; Cable loss ; Gradual bilinear method ; Direct integral method
Abstract Cable-stayed bridge, which is one of the representative long-spanned bridge, needs prompt maintenances when a stay cable is damaged because it may cause structural failure of the entire bridge. Many researches are being conducted to develop abnormal behavior detection algorithms for the purpose of shortening the reaction time after the occurrence of structural damage. To improve the accuracy of the damage detection algorithm, ample observation data from various kinds of damage responses is needed. However, it is difficult to measure an abnormal response by damaging an existing bridge, numerical simulation can be an effective alternative. In most previous studies, which simulate the damage responses of a cable-stayed bridge, the damages has been considered as a load variation without regard to its stiffness variation. The analyses of using these simplification could not calculate exact responses of damaged structure, though it may reserve a sufficient accuracy for the purpose of bridge design. This study suggests Gradual Bilinear Method (GBM) which simulate the damage responses of cable-stayed bridge considering the stiffness and mass variation, and develops an analysis program. The developed program is verified from the responses of a simple model. The responses of a existing cable-stayed bridge model are analyzed with respect to the fracture delay time and damage ratio. The results of this study can be used to develop and verify the highly accurate abnormal behavior detection algorithm for safety management of architecture/large structures.