Application of bi-directional evolutionary structural optimization to the design of an innovative pedestrian bridge

Yaping Lai, Yu Li, Yanchen Liu, Peixin Chen, Lijun Zhao, Jin Li, Yi Min Xie
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Abstract

With rapid advances in design methods and structural analysis techniques, computational generative design strategies have been adopted more widely in the field of architecture and engineering. As a performance-based design technique to find out the most efficient structural form, topology optimization provides a powerful tool for designers to explore lightweight and elegant structures. Building on this background, this study proposes an innovative pedestrian bridge design, which covers the process from conceptualization to detailed design implementation. This pedestrian bridge, with a main span of 152 m, needs to meet some unique architectural requirements, while addressing multiple engineering challenges. Aiming to reduce the depth of the girder but still meeting the load-carrying capacity requirements, the superstructure of this bridge adopts a variable-depth spinal-shaped girder in the center of its deck, thus forming an elegant curving facade, from which one pathway cantilevers on either side. At one end of the bridge, given considerable elevation difference between the bridge deck and the ground, a two-level Fibonacci-type spiral-shaped bicycle ramp is provided. The superstructure is supported by a series of organic tree-shaped branching piers resulting from the topology optimization. The ingenious design for the elegant profile of the bicycle ramp generates an enjoyable and dynamic crossing experience, with scenic views in all directions. By virtue of technological innovation, the pedestrian bridge is expected to create an iconic, cost-effective, and low-maintenance solution. A brief overview of the theoretical background of the bi-directional evolutionary structure optimization (BESO) and the multi-material BESO approach is also offered in this paper, while the construction requirements and challenges, conceptual development process, form-finding strategy, detailed design, and construction method of the bridge are presented.

双向进化结构优化在创新型人行天桥设计中的应用
随着设计方法和结构分析技术的飞速发展,计算生成设计策略在建筑和工程领域得到了更广泛的应用。拓扑优化作为一种基于性能的设计技术,可以找出最有效的结构形式,为设计师探索轻质、优雅的结构提供了强有力的工具。基于这一背景,本研究提出了一种创新的人行天桥设计,涵盖了从概念设计到详细设计实施的全过程。这座人行天桥的主跨度为 152 米,需要满足一些独特的建筑要求,同时应对多重工程挑战。为了在满足承载能力的前提下减少梁的深度,这座桥的上部结构在桥面中央采用了可变深度的脊梁,从而形成了一个优雅的曲线立面,从立面向两侧悬挑出一条通道。在桥的一端,由于桥面与地面之间存在较大的高差,因此设置了一个两层的斐波纳契式螺旋形自行车坡道。上部结构由拓扑优化后形成的一系列有机树形分支桥墩支撑。自行车坡道优雅的轮廓设计独具匠心,为人们带来了愉悦、动感的过街体验,四面八方的美景尽收眼底。凭借技术创新,这座人行天桥有望成为一个标志性、经济高效且维护成本低的解决方案。本文还简要概述了双向进化结构优化(BESO)和多材料 BESO 方法的理论背景,并介绍了该桥的施工要求和挑战、概念开发过程、外形设计策略、详细设计和施工方法。
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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