首页> 外文OA文献 >Multi-Objective Optimizing Curvilinear Steel Bar Structures of Hyperbolic Paraboloid Canopy Roofs
【2h】

Multi-Objective Optimizing Curvilinear Steel Bar Structures of Hyperbolic Paraboloid Canopy Roofs

机译:双曲面抛物面冠层屋顶的多目标优化曲线钢条结构

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

The paper concerns shaping curvilinear steel bar structures that are hyperbolic paraboloid canopy roofs by means of parametric design software Rhinoceros/Grasshopper and Karamba 3D. Hyperbolic paraboloid shape has found applications in various solutions of building roofs, mainly as reinforced concrete or steel coverings made of bent sheets. The hyperbolic paraboloid as a ruled surface can be a good base surface for forming bar grids. However, there are few studies on the effect of its division and the obtained topology of bar structures on their load-bearing capacity. In order to fill this gap, the aim of the presented research was to compare the effectiveness of various curvilinear steel bar structures of hyperbolic paraboloid canopy roofs covering the same plane, as well as defining both the most effective pattern of their structural grids and the optimal supporting system. This analysis was carried out thanks to the application of genetic algorithms enabling the free flow of information between geometrical and structural models, as well as thanks to the obtained result of multi-objective optimizations of the shaped structures for given boundary conditions. Minimal mass of the structure as well as minimal deflection of the structural members were assumed as the optimization criteria.
机译:本文涉及通过参数设计软件犀牛/蚱蜢和卡拉姆帕3D来塑造曲线钢筋结构,该曲线钢条结构是双曲抛物面冠盖屋顶。双曲抛坑形状已经发现在建筑屋顶的各种溶液中的应用,主要是由弯曲板制成的钢筋混凝土或钢制覆盖物。作为统治表面的双曲抛物面可以是用于形成杆网格的良好基础表面。然而,少数关于其划分的效果和在其承载能力上获得的杆状结构的拓扑的研究。为了填补这一差距,提出的研究的目的是比较覆盖同一平面的双曲抛物面屋顶屋顶各种曲线钢条结构的有效性,以及定义其结构网格的最有效模式和最佳的支持系统。由于在几何和结构模型之间的应用提供了遗传算法的应用,以及由于用于给定边界条件的成形结构的多目标优化的所得结果,而是遗传算法的应用。假设结构构件的最小质量和结构构件的最小偏转作为优化标准。

著录项

  • 作者

    Jolanta Dzwierzynska;

  • 作者单位
  • 年度 2020
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号