将基于优化的设计探索应用于早期建筑设计的工作流程——基于EvoMass的案例研究

IF 1.6 0 ARCHITECTURE
Likai Wang
{"title":"将基于优化的设计探索应用于早期建筑设计的工作流程——基于EvoMass的案例研究","authors":"Likai Wang","doi":"10.1177/14780771221082254","DOIUrl":null,"url":null,"abstract":"The role of optimization-based design exploration in early-stage architectural design has been increasingly recognized and valued. It has been widely considered an effective approach to achieving performance-informed and performance-driven design. Nevertheless, there is little research into how such design exploration can be adapted to various early-stage architectural design tasks. With this motivation, this paper revolves around a computer-aided design workflow for early-stage building massing design optimization and exploration while presenting three workshop case studies to demonstrate how the workflow can be intertwined with the design process. The design workflow is based on EvoMass, an integrated building massing design generation and optimization tool in Rhino-Grasshopper. The case study illustrates task-specific applications of the design workflow for synthesizing building design, finding design precedents, and understanding the interrelationship between formal attributes and building performance. The paper concludes by discussing the relevant efficacy of the design workflow for architectural design.","PeriodicalId":45139,"journal":{"name":"International Journal of Architectural Computing","volume":"20 1","pages":"41 - 60"},"PeriodicalIF":1.6000,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Workflow for applying optimization-based design exploration to early-stage architectural design – Case study based on EvoMass\",\"authors\":\"Likai Wang\",\"doi\":\"10.1177/14780771221082254\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The role of optimization-based design exploration in early-stage architectural design has been increasingly recognized and valued. It has been widely considered an effective approach to achieving performance-informed and performance-driven design. Nevertheless, there is little research into how such design exploration can be adapted to various early-stage architectural design tasks. With this motivation, this paper revolves around a computer-aided design workflow for early-stage building massing design optimization and exploration while presenting three workshop case studies to demonstrate how the workflow can be intertwined with the design process. The design workflow is based on EvoMass, an integrated building massing design generation and optimization tool in Rhino-Grasshopper. The case study illustrates task-specific applications of the design workflow for synthesizing building design, finding design precedents, and understanding the interrelationship between formal attributes and building performance. The paper concludes by discussing the relevant efficacy of the design workflow for architectural design.\",\"PeriodicalId\":45139,\"journal\":{\"name\":\"International Journal of Architectural Computing\",\"volume\":\"20 1\",\"pages\":\"41 - 60\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2022-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Architectural Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/14780771221082254\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"0\",\"JCRName\":\"ARCHITECTURE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Architectural Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/14780771221082254","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"ARCHITECTURE","Score":null,"Total":0}
引用次数: 6

摘要

基于优化的设计探索在早期建筑设计中的作用越来越得到认可和重视。它被广泛认为是实现性能知情和性能驱动设计的有效方法。然而,关于这种设计探索如何适应各种早期建筑设计任务的研究很少。基于这一动机,本文围绕早期建筑体量设计优化和探索的计算机辅助设计工作流展开,同时介绍了三个车间案例研究,以展示工作流如何与设计过程交织在一起。设计工作流程基于EvoMass,这是Rhino Grasshopper中的一个集成建筑体量设计生成和优化工具。案例研究说明了设计工作流在综合建筑设计、寻找设计先例以及理解形式属性与建筑性能之间的相互关系方面的特定任务应用。文章最后讨论了建筑设计工作流程的相关功效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Workflow for applying optimization-based design exploration to early-stage architectural design – Case study based on EvoMass
The role of optimization-based design exploration in early-stage architectural design has been increasingly recognized and valued. It has been widely considered an effective approach to achieving performance-informed and performance-driven design. Nevertheless, there is little research into how such design exploration can be adapted to various early-stage architectural design tasks. With this motivation, this paper revolves around a computer-aided design workflow for early-stage building massing design optimization and exploration while presenting three workshop case studies to demonstrate how the workflow can be intertwined with the design process. The design workflow is based on EvoMass, an integrated building massing design generation and optimization tool in Rhino-Grasshopper. The case study illustrates task-specific applications of the design workflow for synthesizing building design, finding design precedents, and understanding the interrelationship between formal attributes and building performance. The paper concludes by discussing the relevant efficacy of the design workflow for architectural design.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
3.20
自引率
17.60%
发文量
44
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信