反思:建筑计算及其超越

A. Globa
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引用次数: 0

摘要

设计师和利益相关者之间的合作,允许对多个设计备选方案的性能、形式和反馈进行模拟并排比较,从而做出更明智的设计决策。Frederick Ortner和Jing Zhi Tay在题为“设计弹性:用居民拥堵的计算模型为大环境安全建筑的重新设计提供信息”的手稿中描述了一种计算设计支持工具,该工具是为应对新冠肺炎大流行期间实施的安全隔离措施而开发的。所提出的方法采用了一种混合方法,根据预先确定的时间表和可能的行程来模拟建筑物居民的移动。开发该工具是为了更好地了解新冠肺炎高传播率的拥挤农民工宿舍的拥挤情况。这项研究有助于全面理解建筑环境中复原力的配置和操作方面,这在当前全球疫情的背景下尤其重要。本期IJAC特刊以“Reflections”为主题选择的手稿提供了一系列不同的主题、方法和应用,这些都得益于计算设计的技术启示。尽管每份手稿都解决了各自特定的研究问题和挑战,但它们都为更广泛的建筑计算设计和实践领域做出了贡献,提供了新的见解和技术创新,推进了我们的研究领域,并为未来的研究项目铺平了道路。
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Reflections: On architectural computing and beyond
collaboration between designers and stakeholders by allowing simulations side by side comparisons of performance, form and feedback of multiple design alternatives, leading to more informed design decisions. In their manuscript titled ‘ Resilient by design: informing pandemic-safe building redesign with computational models of resident congestion ’ , Frederick Ortner and Jing Zhi Tay describe a computational design-support tool that was developed in response to safe-distancing measures enforced during the COVID-19 pandemic. The proposed approach adopted a hybrid method for simulating building resident movements based on both pre-determined schedules and likely itineraries. The tool was developed to gain a better understanding of congestion in crowded migrant worker dormitories that experienced high rates of COVID-19 transmission. This study contributes to general understanding of con fi gurational and operational aspects of resilience in the built environment, which is particularly relevant in the context of ongoing global pandemic. The manuscripts selected for this special issue of IJAC under the theme of ‘ Re fl ections ’ offer a diverse collection of topics, methods and applications that are enabled by technological affordances of computational design. Although each manuscript addresses their own speci fi c set of research questions and challenges, all of them contribute to the wider fi eld of architectural computational design and practice, by offering new insights and technological innovations, advancing our research fi eld and paving the way for future research projects.
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来源期刊
CiteScore
3.20
自引率
17.60%
发文量
44
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