利用社会蜘蛛算法优化管柱复合高层建筑的成本

Ahmed Paksoy, Ibrahim Aydogdu, Alper Akin
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引用次数: 0

摘要

摘要 本研究旨在开发一种算法方法,以获得具有复合柱的高层建筑的最佳设计,并研究这些建筑相对于钢结构的材料成本优势。社会蜘蛛优化(SSO)算法是一种新的元启发式优化方法,在优化框架结构方面显示出良好的效果。复合支柱选用混凝土填充钢管截面。为了确定优化问题,我们将结构的材料成本视为目标函数,将柱的尺寸(强度、挠度、漂移和几何限制)视为约束函数,并将准备好的钢截面视为设计变量。我们测试了八种不同高度和不规则的框架结构,分析了成本如何随这些参数的变化而变化。我们的结果表明,与钢结构相比,复合柱是一种更具成本效益的选择,即使对于不被视为高层建筑的建筑物也是如此。我们发现,这两种结构的成本差异会随着建筑高度和不规则程度的增加而增大。此外,对于高度超过 180 米的钢结构,我们的优化算法无法使用现成的型钢找到可行的设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cost optimization of tall buildings having tube composite columns using social spider algorithm
SummaryThis study aims to develop an algorithmic approach to obtain optimum designs for tall buildings having composite columns and investigate the material cost advantages of these buildings over steel structures. The social spider optimization (SSO) algorithm, a new meta‐heuristic optimization method that has shown promising results in optimizing frame structures, was used to obtain the optimum designs. Concrete‐filled steel tube sections were chosen for composite columns. To define the optimization problem, we considered the material cost of the structure as the objective function, the size of columns (strength, deflection, drift, and geometric limitations) as the constraint functions, and ready steel sections as the design variables. We tested eight different frame structures of varying heights and irregularities to analyze how cost varied according to these parameters. Our results demonstrate that composite columns are a more cost‐effective option than steel structures, even for buildings that are not considered high rises. We found that the difference in cost between the two types of structures increases with building height and irregularity. Additionally, our optimization algorithm was unable to find feasible designs for steel structures taller than 180 m using ready steel profiles.
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