Interactive Architectural Design with Diverse Solution Exploration

Interactive Architectural Design with Diverse Solution Exploration
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DOI:
10.1109/tvcg.2019.2938961
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发表时间:
2021-01-01
影响因子:
5.2
通讯作者:
Faloutsos, Petros
Faloutsos, Petros
中科院分区:
计算机科学1区
文献类型:
--
作者:
Berseth, Glen;Haworth, Brandon;Faloutsos, Petros

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在建筑设计中,建筑师探索大量的设计选项,以最大限度地提高各种性能标准,同时坚持特定的约束。为了帮助建筑师完成这样一个复杂的任务,我们提出了IDOME,一个计算机辅助设计优化的交互式系统。我们的方法通过有效地探索、分析和过滤空间布局来平衡自动化和控制,从而更好地为建筑师的决策提供信息。在每次设计迭代中,IDOME提供了一组可选的建筑布局,这些布局满足用户定义的约束和关于用户定义的空间参数化的最佳性标准。当用户选择由IDOME生成的设计时,系统执行具有相同(或不同)参数和目标的类似优化过程。用户可以根据需要多次重复这个探索过程。在这项工作中,我们专注于通过提高可见性、可达性和信息获取的程度来优化建筑环境。然而,这种方法也可以扩展为支持其他类型的分析。我们通过一系列示例、性能分析、用户研究和可用性测试来演示IDOME的功能。结果表明,IDOME成功地优化了有关所选指标的拟议设计,并为用户提供了令人满意的培训体验。
In architectural design, architects explore a vast amount of design options to maximize various performance criteria, while adhering to specific constraints. In an effort to assist architects in such a complex endeavour, we propose IDOME, an interactive system for computer-aided design optimization. Our approach balances automation and control by efficiently exploring, analyzing, and filtering space layouts to inform architects' decision-making better. At each design iteration, IDOME provides a set of alternative building layouts which satisfy user-defined constraints and optimality criteria concerning a user-defined space parametrization. When the user selects a design generated by IDOME, the system performs a similar optimization process with the same (or different) parameters and objectives. A user may iterate this exploration process as many times as needed. In this work, we focus on optimizing built environments using architectural metrics by improving the degree of visibility, accessibility, and information gaining for navigating a proposed space. This approach, however, can be extended to support other kinds of analysis as well. We demonstrate the capabilities of IDOME through a series of examples, performance analysis, user studies, and a usability test. The results indicate that IDOME successfully optimizes the proposed designs concerning the chosen metrics and offers a satisfactory experience for users with minimal training.