2014, 6(6): 35-39,49.
高层建筑结构智能型式优化的FKM分析法
南阳理工学院土木工程学院，南阳 473004 |
FKM Analysis Method for Intelligent Optimization of High-rise Buildings
School of Civil Engineering of Nanyang Institute of Technology, Nanyang 473004, China |
引用本文:
张世海, 张世忠, 段慧杰. 高层建筑结构智能型式优化的FKM分析法[J]. 土木建筑工程信息技术,
2014, 6(6): 35-39,49.
Citation:
Zhang Shihai, Zhang Shizhong, Duan Huijie. FKM Analysis Method for Intelligent Optimization of High-rise Buildings[J]. Journal of Information Technologyin Civil Engineering and Architecture,
2014, 6(6): 35-39,49.
摘要:首先，介绍了结构优化的4个层次，分析了结构型式优化的重要地位及传统“硬聚类”与模糊聚类方法的特征，指出了模糊聚类分析能更客观的反映结构类别的过渡性特征；其次，给出了FKM的基本原理与算法，建立了基于FKM聚类分析的高层建筑结构智能型式优化方法，利用20个工程实例进行了模糊聚类分析，给出了模糊聚类中心及其聚类结果；最后，给出了利用FKM进行高层建筑结构型式优化的工程实例，其结果与工程实际一致。实践表明，FKM聚类分析方法能更有效地用于高层建筑结构智能型式优化设计。
Abstract: Firstly, four levels of structure optimization are introduced, and the importance and characteristics of traditional "hard clustering" and fuzzy cluster method are analyzed. The fuzzy cluster analysis can reflect the transitional characteristics of structure category more objectively. Secondly, the basic principle and algorithm of FKM are introduced, the FKM-based cluster analysis intelligent form selection of high-rise structures is constructed, and the fuzzy clustering center and its corresponding clustering results are obtained by the fuzzy cluster analysis from 20 engineering cases. Finally, the engineering cases for structural selection based on FKM are listed, and the results match the engineering practice well. Practice shows that FKM cluster analysis method is effective structural form selection method for the design of high-rise structures.
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