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Research on Key Technologies for Evaluation of Long-span PC Cable-stayed Bridge

Author: LiuXuZheng
Tutor: HuangPingMing;XuHanZuo
School: Chang'an University
Course: Bridge and Tunnel Engineering
Keywords: Cable-stayed bridge Safety Evaluation Evaluation of durability Load efficiency factor Regression Analysis Optimization Calibration coefficient Fuzzy Comprehensive Evaluation AHP Fuzzy Neural Network
CLC: U448.27
Type: PhD thesis
Year: 2008
Downloads: 254
Quote: 4
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Abstract


At present, domestic and foreign large-span cable-stayed evaluation PC there are many problems, this paper, the research status Span PC Cable for evaluation of the key technologies in-depth study, completed the following five aspects: ( a) first proposed to optimize load efficiency factor (lower) issue and to reduce the load efficiency factor for the purpose of practical engineering design load test conditions, obtained by regression analysis of structural response (stress, strain, cable force, etc. ) and load efficiency factor of a linear regression equation; and the resulting linear regression equation made significant test, through examination of the regression equation predicted the design loads of the structural response values; finally to the actual project a large span PC Cable load reduction coefficient of efficiency optimization, for example, the method is verified in practical engineering validity and accuracy. The results showed that: analysis calculated a linear regression equation was highly significant, can be used as an effective prediction equation; Overall, the efficiency coefficient increased with load forecast errors decreases trend. Should reduce the efficiency of large-span bridges load factor, load Span PC Cable efficiency factor can be reduced to 0.6. (2) for the current load test cable-stayed bridge that exist not standardized, unified phenomenon, analyzes stayed the mechanical characteristics of each component, so as to clarify the large span cable-stayed bridge load test basic test conditions, test items and auxiliary test conditions. Efficiency coefficient is reduced in the study load optimization, based on the load test conditions proposed merger optimization problem; finally to practical engineering PC Cable optimization of load test conditions combined, for example, a combined load test verified working condition reliability and practicality. In general, the maximum deflection of the main beam and the main beam condition maximum positive moment conditions can be combined into one condition; maximum deviation Pylons Pylons working conditions and working conditions the maximum bending moment can be combined into a working condition. (3) first proposed the sub-component calibration coefficient for the range studied. Mathematical statistical methods in engineering, the use of statistical software Minitab calibration coefficient for each component samples for analysis calculations to finalize the structure of the main beam of the cable-stayed bridge components, cable components and the main tower components each calibration coefficient ranges . The results showed that: cable-stayed bridge structure carrying capacity by main beam components, component cable components and the main tower of the three-part component calibration factor to carry out. Stayed bridge strain component calibration coefficient from 0.60 to 1.00 is a reasonable range, deflection calibration coefficient from 0.72 to 1.00 is a reasonable range; cable component cable force calibration coefficient from 0.76 to 1.00 is reasonable range; Pylons strain component calibration coefficient from 0.18 to 1.00 is a reasonable range, partial bit checksum coefficient from 0.47 to 1.00 is a reasonable range. (4) the use of fuzzy theory, a PC Cable Safety fuzzy comprehensive evaluation model, and uses fuzzy comprehensive evaluation method to complete the actual evaluation of the overall safety of the bridge. Evaluation results showed that: Texas, New River Bridge's overall safety evaluation as a class. Lasso security as a class; Sarasota security as a class; girder security for the two types; based security as a class. Its safety evaluation of each component level and under each component calibration factor to determine the scope of the mutual evaluation level was verified, and its overall safety of the bridge evaluation results with the use of JTG H11-2004 \consistent. (5) based on the idea of ??analytic hierarchy process to establish a complete PC Cable durability evaluation model and fuzzy theory and neural network technology is proposed based on fuzzy neural network evaluation model PC Cable durability. Finally, the cable module durability evaluation, for example, proved this chapter to establish the accuracy of fuzzy neural network. The results showed that: Span PC Cable durability evaluation model can be created using the analytic hierarchy process, the first layer of the main beam of the durability of the evaluation, the durability of the cable, the durability of the main tower, basic durability , the durability of five ancillary facilities; dynamic BP algorithm training network, network convergence speed is superior to commonly used BP algorithm; trained neural network to obtain and store a good evaluation expert knowledge, experience and judgment, may The network used in cable-stayed module durability evaluation.

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CLC: > Transportation > Road transport > Bridges and Culverts > All kinds of bridges > Bridge: Structure > Cable-stayed bridge
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