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首页> 外文期刊>Journal of Harbin Institute of Technology >Research of CBR, DM and smart algorithms based design methods for high-rise building structure form-selection
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Research of CBR, DM and smart algorithms based design methods for high-rise building structure form-selection

机译:基于CBR,DM和智能算法的高层建筑结构选型设计方法研究

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摘要

First, the high-rise building structure design process is divided into three relevant steps, that is, scheme generation and creation, performance evaluation, and scheme optimization. Then with the application of relational database, the case database of high-rise structures is constructed, the structure form-selection designing methods such as the smart algorithm based on CBR, DM, FINS, NN and GA is presented, and the original forms system of this method and its general structure are given. CBR and DM are used to generate scheme candidates; FINS and NN to evaluate and optimize the scheme performance; GA to create new structure forms. Finally, the application cases are presented, whose results fit in with the real project. It proves by combining and using the expert intelligence, algorithm intelligence and machine intelligence that this method makes good use of not only the engineering project knowledge and expertise but also much deeper knowledge contained in various engineering cases. In other words, it is because the form selection has a strong background support of vast real cases that its results prove more reliable and more acceptable. So the introduction of this method provides an effective approach to improving the quality, efficiency, automatic and smart level of high-rise structures form selection design.
机译:首先,高层建筑结构设计过程分为三个相关步骤,即方案生成和创建,性能评估和方案优化。然后在关系数据库的应用下,构建高层结构案例数据库,提出了基于CBR,DM,FINS,NN和GA的智能算法等结构选型设计方法,并提出了原形系统。给出了该方法的原理及其一般结构。 CBR和DM用于生成方案候选。 FINS和NN评估和优化方案性能; GA可以创建新的结构表格。最后,给出了应用案例,其结果与实际项目相符。通过结合并使用专家智能,算法智能和机器智能证明,该方法不仅充分利用了工程项目知识和专长,而且还充分利用了各种工程案例中包含的更深层次的知识。换句话说,这是因为表单选择具有对大量实际案例的强大背景支持,因此其结果证明更加可靠且更容易接受。因此,该方法的引入为提高高层建筑选型设计的质量,效率,自动化和智能水平提供了有效的途径。

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