Dissertation
Dissertation > Transportation > Road transport > Bridges and Culverts > All kinds of bridges > Bridge: Structure > Arch bridge

Research on Multi-stage Scheme for Identifying Damage in Steel Truss Arch-bridge Based on Neural Network

Author ZhouJianRong
Tutor GuoHuiYong
School Chongqing University
Course Structural Engineering
Keywords Steel truss arch bridge Damage Identification GRNN neural network Substructure
CLC U448.22
Type Master's thesis
Year 2010
Downloads 61
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Steel truss arch bridge is an important structure in the form of bridge structures , steel truss arch bridge majestic appearance , spanning capacity , higher carrying capacity somewhat in recent years has been the rapid development , such as of Tianjin Cathay bridge and Chongqing Chaotianmen Yangtze River Bridge and so on. Chaotianmen Yangtze River Bridge opened to traffic in 2009 , the main bridge arrangement 190 552 190m, is the world's largest span steel truss arch bridge . Many bridge structure in the course of different degrees of damage may occur due to various reasons , cracking and aging, which lay hidden dangers , causing a major accident , endangering the lives and safety of the people and lead to loss of property . Therefore, the bridge structure damage identification and early warning , to grasp the health of important significance under the bridge operation . Identify damage to the bridge structure (especially steel truss arch bridge structure) has become an important research topic in the field of civil engineering . The study pointed out that the damage to the bridge structure will cause a corresponding change in the structure of the overall power characteristics , therefore , if we can establish a mapping relationship between the dynamic characteristics of the structure changes and structural damage can realize the damage identification . The neural network has the advantages of fault tolerance , nonlinear mapping ability , so it is very suitable for structural damage identification . On the basis of previous studies , as the research object , the application of neural network technology to large -span steel truss arch bridge proposed large-span steel truss arch bridge structure damage step-by-step identification method using APDL language in ANSYS and MATLAB language programming make mutual convergence , efficient neural network method is suitable for the steel truss arch bridge structure damage identification . First warning of the damage to the bridge , and to determine the appearance of damage ; then initial positioning of the components of the bridge damage , discriminant the damage bar where sub structure ; then further damage identification on the basis of preliminary positioning , which determine the damaged members specific location ; Finally, to identify the degree of injury to injury bar .

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