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Study On Bridge Management System

Posted on:2005-07-06Degree:DoctorType:Dissertation
Country:ChinaCandidate:X Z ZhangFull Text:PDF
GTID:1102360125466515Subject:Road and Railway Engineering
Abstract/Summary:PDF Full Text Request
This paper is to discuss a module structure in management system at project and network level, which is set up according to the analysis of bridge management theories. The author puts forward that the durability should be the criteria of the review of the function of bridges. And multilevel fuzzy comprehensive ways are also employed as reviewing ways on the basis of fuzzy set theory and analytic hierarchy process (AHP). To make an automatic review system, a safe and systematical subordinate function has been established. So a simple and quick way has been found from the bridge sections under forces and the results of regular examinations. It also suggests the approach to reviewing bridge suitability considering these three aspects: conditions of passing vehicles, capabilities, and the harmonic surrounding environment. It employs the fuzzy system and artificial neural network respectively to predict the functions and the bearing capacities of bridges. Moreover, with the predicting theory of the optimal mix, a mix predicting model has been made, and the weight value formula of predicting has been produced. And the life cycle cost analysis is used to make an item policy to develop a systematic countermove according to the arrangement of the technical parameters and the effect optimization. It brings convenience for the maintainers to form a maintaining countermove tree and set up a maintaining countermove bank. The developed software, which is agile, convenient, and practical, can be a quick, efficient, and reliable tool for bridge management. And it proves the practical application to the bridge management system by taking two different bridges as an example.
Keywords/Search Tags:Management system, Durability, Fuzzy comprehensive approach, Subordinate function, Fuzzy system, Artificial neural network, Life cycle cost analysis, Countermove
PDF Full Text Request
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