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Analysis Of The High-rise Building Structure Form Selection With The Fuzzy Mathematics And The BP Neural Network

Posted on:2016-08-07Degree:MasterType:Thesis
Country:ChinaCandidate:Y R WangFull Text:PDF
GTID:2308330476451247Subject:Structural engineering
Abstract/Summary:PDF Full Text Request
With the rapid development of economic construction and the overall strength of our country and the rising demand for high-rise buildings increasingly strong, which is the development of tall buildings is both an opportunity and a challenge. Selection of structural design is the first step, the development of tall buildings appeared a large number of complex architecture and structure type, increased choice means the increase of structure selection inappropriate possibilities. Therefore, choosing a suitable method for selection of structural decisions is particularly important.At present, the application of fuzzy comprehensive evaluation method and artificial neural network selection of high-rise structures increasingly rich. Artificial neural networks can simulate the human brain structure thinking ability, with a strong adaptive and association functions, but it does not have the ability to handle and describe fuzzy information, can not make good use of expert experience. For the most part and the influencing factors of structure selection is uncertain or unknown, with strong fuzziness, which will lead to limitations of artificial neural networks applications in the selection of structural. Fuzzy comprehensive evaluation method can be a good deal of information and the use of fuzzy expert experience, a combination of both, make full use of the advantages of fuzzy comprehensive evaluation method and artificial neural networks. Based on the commonly used structure system of high-rise building structure as the research object, through analyzed the influence factors of high-rise building structure selection, using MATLAB neural network toolbox establish a high-rise building structural system selection model based on fuzzy comprehensive evaluation and neural networks. After analysis showed that a combination of the fuzzy comprehensive evaluation method and BP neural network method can effectively solve the problem of structural style selection.This paper first proposes Combined fuzzy comprehensive evaluation and neural networks to solve the high-rise building structural form selection problem, research has enriched the theory of the structure of the selection method, has the certain reference significance for selection of high-rise building structure decision...
Keywords/Search Tags:High-rise building, Selection of structural types, BP neural network, Fuzzy comprehensive evaluation, MATLAB
PDF Full Text Request
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