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The Research On Decision-Making Of Structural Types Of High-Rise Building

Posted on:2007-02-22Degree:MasterType:Thesis
Country:ChinaCandidate:Y LiuFull Text:PDF
GTID:2132360185977475Subject:Structural engineering
Abstract/Summary:PDF Full Text Request
With the development of the scale of high-rise building and the constant increasing of amount of investment, the selection of structure types, as an important link of conceptual design of structure, will exert an influence on structure function, social benefit, construction cost, etc, so deal with the problem of selection of structure types correctly, have important meanings to design, construction, use and maintain etc.Firstly, we should fully understand each of main structure the structural characteristic and the scope of application etc. only then we can have the rationality and pertinence for the choice of structural system, especially paying attention to analysis comprehensive economic efficiency. Various of factors that affects the choices of structural types of high-rise building are discussed. According to these factors, the integrative performance model for structural form selection is established. The model can lay down a solid foundation for reducing the blindness in structural form selection and systematically resolving other profound problems in structural form selection. At one time, some factors are fuzzy and cannot use an exact number to describe it. So AHP and fuzzy comprehensive evaluation have been used to evaluate steel- concrete composite structure and reinforced concrete. The result indicates the steel structure performance is slightly superior. Finally, fuzzy multiple attribute decision-making is used to deal with the problem of structural form selection.The using example has been approved that AHP-fuzzy comprehensive evaluation and fuzzy multiple attribute decision-making are effectual.
Keywords/Search Tags:High-rise building, choice of structural styles, Factors affected, Analytic Hierarchy Process(AHP), Fuzzy comprehensive evaluation, Fuzzy multiple attribute decision-making
PDF Full Text Request
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