Computational approach for form-finding optimal design

Architecture, Structures and Construction Pub Date : 2022-11-21 DOI:10.1007/s44150-022-00077-2

Saaranya Kumar Dasari, Nicholas Fantuzzi, Patrizia Trovalusci, Roberto Panei

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Abstract

In this paper, an optimization strategy for a canopy, based on computational modelling approaches is presented. The design approach is applied to a realistic roof structure of an ecological island (waste collection centre) and has been completely redesigned with the aid of a Genetic Algorithm and a Dynamic Relaxation Algorithm. The preliminary design of the roof structure can be formulated as a shape optimization problem, involving functional needs and constraints at different scales of the structure. The proposed hypothesis solution was studied by using an optimization procedure through algorithms in the software Rhinoceros3D®/Grasshopper®. The main aim of this work is to explore different modelling approaches for form-finding that can be built from the use of numerical simulations based on algorithms. To this aim, the need to meet various requirements (structural, functional, formal) involving a team of architects and engineers can be interpreted as a matter of structural optimization.

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寻形优化设计的计算方法

本文提出了一种基于计算建模方法的雨棚优化策略。该设计方法应用于一个生态岛（废物收集中心）的真实屋顶结构，并在遗传算法和动态松弛算法的帮助下进行了完全的重新设计。屋顶结构的初步设计可以公式化为一个形状优化问题，涉及结构不同尺度下的功能需求和约束。通过Rhinoceros3D®/Grashopper®软件中的算法，使用优化程序对所提出的假设解决方案进行了研究。这项工作的主要目的是探索不同的造型方法，这些方法可以通过使用基于算法的数值模拟来建立。为此，需要满足建筑师和工程师团队的各种要求（结构、功能、形式），可以理解为结构优化问题。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Architecture, Structures and Construction

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