Augmented decomposition method: Form-finding for structural equilibrium with design objectives based on alternating direction method of multipliers

Patrick Schäferling, Matthias Beckh
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Abstract

Form-finding, the process of determining an equilibrated geometric configuration based on boundary and design conditions, is a key technique in design, yet no comprehensive tool has fully met the demands of practice. This paper introduces a robust and adaptable form-finding method, using a decomposition framework based on the Alternating Direction Method of Multipliers. It breaks large optimization problems into smaller, manageable subproblems, coordinating their solutions to achieve global results. The method balances Dual Decomposition and Augmented Lagrangian techniques while enforcing geometric constraints and equilibrium conditions, ensuring structural stability. Integrated into the parametric CAD environment Grasshopper, this approach enhances accessibility for designers. The paper outlines the algorithm’s mechanics and demonstrates its application through design examples. It provides performance evaluations, highlighting its capabilities and limitations. The method’s ability to combine geometric constraints with equilibrium in a flexible and yet simple to implement optimization framework represents a significant advancement in form-finding.

增广分解法:基于乘法器交替方向法的结构平衡寻形
找形是根据边界和设计条件确定平衡几何形态的过程,是设计中的一项关键技术,但目前还没有全面的工具完全满足实践的需要。本文介绍了一种基于乘法器交替方向分解框架的鲁棒适应性寻形方法。它将大型优化问题分解为较小的、可管理的子问题,协调它们的解决方案以获得全局结果。该方法平衡了对偶分解和增广拉格朗日技术,同时加强了几何约束和平衡条件,确保了结构的稳定性。集成到参数化CAD环境Grasshopper中,这种方法增强了设计人员的可访问性。本文概述了算法的原理,并通过设计实例说明了算法的应用。它提供性能评估,突出其功能和局限性。该方法能够将几何约束与平衡结合在一个灵活且易于实现的优化框架中,这代表了在找形方面的重大进步。
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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