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The Construction Control Research on the Long-span Continuous Rigid Frame Bridge

Author: WangTianPeng
Tutor: HeGuoJing
School: Central South University of Forestry Science and Technology
Course: Forest Engineering
Keywords: Continuous Rigid Frame Bridge Construction Control Parameter identification State prediction Neural Network
CLC: U445.4
Type: Master's thesis
Year: 2006
Downloads: 78
Quote: 0
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Abstract


With the development of transport and bridge construction technology continues to progress, the increasing scale of bridge construction, bridge structures have become increasingly complex, bridge construction bridge construction technology as an important part of the bridge builders gradually being valued. The continuous rigid frame bridge with its unique advantages also become a high-span bridge pier preferred bridge, where they are in the process of construction safety issues and to bridge state and force structure linear behavior are put forward higher requirements , so the bridge construction process using error analysis theory and optimal control theory is very important. In this paper, the structure of construction control calculation and analysis, parameter identification and state prediction, etc., carried out the following aspects of work. (1) In conclusion construction control of the development process, based on the neural network method is applied to construction control. The difficulty for the construction control - Parameter Identification and State Prediction studied, presents two neural network method for bridge construction control provides a way to refer to the new way. (2) describes several existing bridge construction control process simulation and calculation methods camber and the analysis of the law suits, inverted split method and the calculation of the absolute deflection deflection method. According to the characteristics of continuous rigid frame bridge, gives the calculation of each cantilever beam segment construction camber value of a variety of methods to get fixed construction formwork elevation and Nanmeng Creek Bridge Construction Control structure calculation has been applied . (3) In this paper, parameter identification and status of the various methods of forecasting continuous rigid frame bridge in the application were discussed in detail, focusing on the parameter identification least squares method, the Kalman filter state prediction method and gray theory method. analyzed theoretically proved that the neural network method in bridge construction control applicability and its unique advantages. (4) for the current shortcomings of the commonly used BP network, it has been improved to a novel neural network algorithm - with bias elements recurrent neural network algorithm is applied to parameter identification and status prediction, its error back propagation Learn the rules of the mathematical derivation and the preparation of the corresponding algorithm. Numerical examples to prove its presence in the high - span continuous rigid frame bridge construction control adaptability and BP algorithm unmatched advantages. (5) to the proposed theory is applied to the Nanmeng Creek bridge construction control, according to the characteristics of the preparation Nanmeng Creek bridge parameter identification and state prediction program, the establishment of construction control network model, and in the Nanmeng Creek Bridge Construction control work has achieved good results, for the effective implementation of control similar bridges provide a useful reference.

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