| Abstract:At present, with the high strength lightweight materials and mechanization realized in construction, provided technical conditions for the development of high-rise buildings. Now, the pursuit of higher, bigger, longer construction becomes a target for all countries in the world. But, at the same time, with the development of the various forms of high-rise buildings, the selection work of structure type becomes more and more difficult. Therefore, more and more designers have realized the importance of structure selection problem in high-rise building structure design. Due to the complex factors (uncertainty, randomness, fuzziness, characteristic), using traditional mathematical methods is difficult to expand. So now need an effective method to solve this problem. In this paper, we use genetic neural network and fuzzy comprehensive evaluation methods combined to solve this problem. The main research content of this article is summarized as follows:(1) Introduces several various forms and its characteristics of the structure of the high-rise buildings. And analyzing the main factors witch influencing the selection of high-rise building structure form. It’s foundation work for the later method.(2)Using the genetic neural network to select the high-rise building structure form. Using MATLAB genetic algorithm toolbox and neural network toolbox to write the program, this program is about genetic algorithm to optimize the BP neural network. Collect high-rise building instance, Collect high-rise building instance.(3) With the aid of MATLAB programming, using the method of fuzzy comprehensive evaluation to complete the structure selection work. With a project example to introduce the process of this method(4) Using genetic neural network and fuzzy comprehensive evaluation on the research of the selection of high-rise Building Structure. Combining with engineering examples selected primarily using genetic neural network structure, the fuzzy comprehensive evaluation assessment is set. |
PDF Full Text Request