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Construction Control Research of Long Span Single Tower Cable-Stayed Bridge

Author: GuoShiJie
Tutor: BoYiZhi
School: Southwest Jiaotong University
Course: Bridge and Tunnel Engineering
Keywords: Large span cable-stayed bridge Construction Control Kalman filtering method Parameter identification Grey Theory
CLC: U445
Type: Master's thesis
Year: 2007
Downloads: 281
Quote: 3
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Abstract


In recent years, cable-stayed bridge construction technology in our country has made considerable progress , therefore, long-span cable-stayed bridge construction control study on all the more urgent and important. In order to form a simple and practical method of construction control , the author of the Yangtze River Bridge in Luzhou Tai'an engineering background, large span single tower cable-stayed bridge construction control techniques are studied . The construction of large span cable-stayed bridge to go through a complex process, in this process will be determined by many factors and uncertainties that could cause actual state of the bridge structure deviate from the theoretical calculation of state. Therefore, the focus of the bridge construction control is through the construction control deviations were analyzed to identify, identify problems and timely correction , while the follow-up stage to predict the structure , so that construction of the system is always in control. This article first large span cable-stayed bridge construction control technology and technology system, and a simple exposition. And the use of bridge structural analysis software for the construction BSAS simulated by changing the values ??of the main parameters of the parameter error for the cable-stayed bridge girder displacements , cable force , control section stress. Secondly, the basis for the construction of the measurement data using the Kalman filter for parameter identification method , and feedback to guide the construction . Again , this article describes the gray predictive control system of the basic ideas , technology roadmap , implementation steps and practical application scenarios . By creating multiple gray GM (1,1) prediction model determines the system behavior for all major development of the state variables to predict . Analysis showed that the use of GM (1,1) model is capable of cable-stayed bridge construction process , such as hanging basket deformation, cable and pouring concrete structures and other highly random variable displacement gives a better prediction , can elevation cable force and double control for large span cable-stayed bridge construction control of this complex system modeling to find a practical way . Finally, the proposed research inadequacies and further research directions.

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CLC: > Transportation > Road transport > Bridges and Culverts > Bridge Construction
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