DigitalFUTURES 2020
DigitalFUTURES WORLD:
ARCHITECTS UNITE
6月27日-7月3日：DigitalFUTURES工作营与论坛
7月4日-7月5日：DigitalFUTURES特别活动
digitalfutures.tongji.edu.cn
- BioForm: Generating Biomimetic Architectural Form
Based on Topological Optimization -
谢亿民院士 Prof. Yi Min 'Mike' Xie
澳大利亚工程院院士。现任皇家墨尔本理工大学杰出教授，同济大学建筑与城市规划学院客座教授。
1984年本科毕业于上海交通大学工程力学系，跟随中国科学院钟万勰院士攻读硕士学位。1987年经中国科学院钱伟长院士推荐赴英国跟随英国皇家学会院士O.C.Zienkiewicz（辛克维奇）大师攻读博士学位。
1992年谢亿民率先提出“渐进结构优化法”（ESO），在国际结构优化设计领域和建筑设计领域造成了深远影响。
2002年被澳大利亚皇家墨尔本理工大学土木工程系聘为终身正教授及系主任，2011年当选澳大利亚工程院院士。
2017年荣获澳大利亚创新大奖 (Clunies Ross Innovation Award)和澳大利亚机械工程领域最高奖 — 米歇尔奖章(AGM Michell Medal)；2017年起担任中国国家重点研发专项“绿色生态木竹结构体系研究与示范应用”专家委员会副主任，并受聘为国务院侨务办公室专家咨询委员会委员。
2019年6月被授予澳大利亚国家勋章（Member of the Order of Australia）。同年9月，他被澳大利亚科研基金委授予澳洲学术界至高无上的荣誉 — 澳大利亚桂冠教授（Australian Research Council Laureate Fellowship）。
2015年谢亿民院士创立了上海谢亿民结构设计事务所，2017年成立南京阿米巴工程结构优化研究院，带领他的团队致力于将其首创的渐进结构优化法以及他在结构设计领域多年的研究成果运用于工程实践，为客户提供新颖、高效且经济合理的结构方案，并利用3D打印等先进制造技术将结构方案付诸实施。
Fellow of the Australian Academy of Technological Sciences and Engineering.
Distinguished Professor of RMIT University in Australia, and a Guest Professor of the College of Architecture and Urban Planning of Tong Ji University.
Head of Civil Engineering discipline at RMIT University between 2002 and 2012.
Doctor of Philosophy, Department of Civil Engineering, University of Wales, Swansea, United Kingdom, 1991 (supervised by Prof O.C. Zienkiewicz FRS, CBE).
In 1992, he played a leading role in pioneering the Evolutionary Structural Optimization (ESO) method, which has had a far-reaching international impact on the structural optimization field. In 2011, he was elected as a fellow of the Australian Academy of Technological Sciences and Engineering. In 2015, he established XIE Technologies. He is currently leading an outstanding team to apply his ESO technique and other research outcomes he has achieved over many years to engineering practice, providing innovative, efficient and economical structural designs to customers and realizing these designs using 3D printing and other advanced manufacturing techniques. In 2016, he was awarded the AGM Michell Medal by Institution of Engineers Australia Distinguished Professorship from RMIT University. In 2017, he won the Clunies Ross Innovation Award from the Australian Academy of Technological Sciences and Engineering. In 2019 Professor Xie was awarded a Member of the order of Australia for his “significant service to higher education and to civil engineering”. In the same year, he was awarded the highly prestigious Australian Research Council Laureate Fellowship.
In 2015, he established XIE Archi-Structure Design and XIE Technologies, leading an outstanding team to apply his evolutionary structural optimization (ESO) technique and other research outcomes achieved over many years to engineering practice, providing innovative, efficient and economical structural designs to customers and realizing these designs using 3D printing and other advanced manufacturing techniques.
皇家墨尔本理工大学建筑学院设计课导师及博士研究生，研究方向包括集群智能算法，拓扑优化结构找形和机器人建造技术等。
澳大利亚注册建筑师，澳大利亚建筑师协会一级会员，英国皇家建筑师学会特许建筑师。
墨尔本大学仿生 (BioInspiration) 研究中心研究员
2012年毕业于皇家墨尔本理工大学获建筑学学士学位，后于2014年在墨尔本大学获建筑学硕士学位（一级荣誉）。
2014至2018年就职于著名澳大利亚建筑事务所Fender Katsalidis、Bates Smart和Architectus担任建筑师。
2015至今先后任教于墨尔本大学建筑学院（数字化设计建造课程）莫纳什大学建筑学院（建造科技课程）和皇家墨尔本理工大学建筑学院（本科及硕士设计课程）并担任建筑系评图嘉宾。
2019年获“天工杯”结构优化设计及增材制造大赛全国一等奖， 同年获皇家墨尔本理工大学创新结构与材料研究中心卓越博士研究奖。
其作品相继在香港设计营商周，上海数字未来展，西班牙巴塞罗那IASS空间结构装置展，深圳/香港双年展及墨尔本设计周”未来原型“展展出。
Design Studio Leader and PhD researcher at RMIT University, focusing on swarm intelligence algorithm, topological optimisation form-finding and robotic fabrication.
Australian Registered Architect; Level 1 Full member of Australian Institute of Architects; UK RIBA Chartered Architect.
Affiliated researcher at BioInspiration Research Initiative, The University of Melbourne.
Master of Architecture (1st Honour) from The University of Melbourne; Bachelor of Architecture from RMIT University.
From 2014 to 2018, Nic Bao worked at several well-known Australian architectural firms, including Fender Katsalidis, Bates Smart and Architectus Architects as an architect.
Since 2015, Nic Bao has taught Digital Design & Fabrication, Construction Technologies courses and Design Studios & Electives at the University of Melbourne School of Architecture, Monash University School of Art, Design & Architecture, and RMIT University School of Architecture and Design.
He was awarded the first prize of the National competition on structural optimization & additive manufacturing in China in 2019. In the same year, he was awarded the Postgraduate Research Excellence Award at RMIT University.
His works were exhibited in Business of Design Week Hong Kong; Digital Futures Shanghai; IASS Expo Barcelona; Shenzhen/Hong Kong Bi-City Biennale & Future Prototypes Melbourne Design Week.
中国科学院大学建筑研究与设计中心博士研究生。
2013年毕业于中国科学技术大学理论与应用力学专业，2016年获中国科学院大学建筑研究与设计中心建筑与土木工程硕士学位，2019年赴往皇家墨尔本理工大学创新结构与材料研究中心学术访问，研究方向包括中国传统建构的数字升级算法、复杂曲面建筑结构找形与优化分析、拓扑优化算法设计拓展等。
国际薄壳及空间结构协会IASS WG8会员。
2016-2020年中国科学院大学建筑研究与设计中心设计技术系列课程技术顾问。
2017年中国高校竹设计建造大赛中央美术学院代表队技术顾问、校外建筑师。
2019年受邀担任皇家墨尔本理工大学建筑学院评图嘉宾。
2015-2016年参展北京国际设计周。2019年参与在巴塞罗那IASS会议空间结构装置展。2019年获“天工杯”结构优化设计及增材制造大赛全国一等奖。
Xin is a PhD candidate at Center of Architecture Research and Design (CARD) in University of Chinese Academy of Sciences (UCAS), focusing on Digital Updating Algorithm based on Chinese Traditional Modular Construction, Structural form-finding algorithm and construction optimization analysis for architectural complex surfaces.
Graduated from Bachelor of Theoretical and Applied Mechanics at University of Science and Technology of China (USTC) and Master of Architectural and Civil Engineering at University of Chinese Academy of Sciences(UCAS) and visiting PhD student at Centre for Innovative Structures and Materials (CISM) in RMIT University.
Member of the International Association for Shell and Spatial Structure.
Technical consultant of Design Technology studio in CARD of UCAS from 2016 to 2020 and technical adviser and extracurricular teacher of team CAFA in 2017 National College Bamboo Design and Construction Competition.
Review guest of Design studio at RMIT University.
His design project (Curved Space), pavilion design is selected by the exhibition of Beijing Design Week in 2015 and X-Form, pavilion design is selected by the exhibition of innovative lightweight structures, International Association for Shell and Spatial Structures (IASS), Barcelona 2019.
He was awarded the first prize of the National competition on structural optimization & additive manufacturing in China in 2019.
王一辰, 墨尔本大学建筑学硕士，皇家墨尔本理工大学建筑设计学士, Denton Corker Marshall 建筑师事务所助理建筑师及墨尔本大学FoD课程助教。
Yichen Wang (Robin) is a graduate architect at Denton Corker Marshall Architects & Tech Tutor at the University of Melbourne. She graduated from Master of Architecture at the University and Bachelor of Architecture at RMIT University.
于子惠, 毕业于皇家墨尔本理工大学建筑设计学士，现建筑学硕士研究生在读， 主要研究关于建筑部件优化和增加其复杂性的细节设计。
Zihui YU (Nancy) is a current master student at RMIT University where she gained the Bachelor of Architecture. She focuses on advanced architectural design, fabrication & intricate form-finding.
杨楠, 毕业于莫纳什大学建筑设计学士，现皇家墨尔本理工大学建筑学在读硕士研究生，主要研究范围是参数化设计的建造与3D打印领域如何运用于建筑和及其设计相关过程中。
Nan Yang (David) is a current master student at RMIT University, focusing on parametric design and 3D printing techniques used in the field of architecture fabrication.
徐通阳, 毕业于皇家墨尔本理工大学学士，现建筑学硕士研究生在读，主要研究参数化设计以及3D 打印在建筑工程中的运用和3D打印建造过程中的模型优化。
Tongyang Xu (Ryan) is a current master student at RMIT University where he gained the Bachelor of Architecture. He focuses on architectural parametric design and its application in 3D printing & model optimization.
【视频】拓扑优化工具介绍：Ameba
[Video] Introduction of Xie Technologies tool: Ameba
** https://v.qq.com/x/page/y089392e733.html【视频】往期特训营过程：
[Video] Works for DigitalFUTURES 2019 from X-Form, RMIT
** https://v.qq.com/x/page/h0903upezdt.html
1. X-Form 1.0 Pavilion Design
X-Form 1.0的整体尺寸为2m*2m*2.5m, 整体结构的镂空平板顶面由4个对称的树状结构支撑。基于BESO拓扑优化算法，这些结构可以轻易地从一个顶面设有均匀压力、底角固定的立方体逐步削减和重新分布材料得到，其形态酷似高迪的圣家族大教堂内部的树形柱。此项目通过大型机械臂制造应用打印制造，未来有很大潜力应用于建筑结构设计和施工领域。
The project relates to the fields of architectural structure design and construction through the generative design technique Bi-directional Evolutionary Structural Optimization (BESO) and the application of robotic fabrication to produce efficient and elegant spatial structures.
2019 Shanghai DigitalFutures Exhibition
Optimisation Process & Structural Analysis
Robotic Fabrication Process
copyright by Dingwen 'Nic' Bao, Xin Yan, Yi Min' Mike' Xie
2. X-Form 2.0 Pavilion Design
X-Form 2.0是X-Form 1.0的升级作品，在前作的基础上进一步扩大了整体尺寸，达到了3.5m*2.5m*3.5m，同时屋顶也由原来的一整块平板变为了十二片位于不同高度的分离曲面。在施加于多片曲面屋顶的法向压力荷载的作用下，多簇树状结构从共同的底端生发出来。借助于改进的BESO算法，可以将屋顶曲面设置为软性材料，从而使得树状结构出现了多级分支，并且更能有效控制分支的生成逻辑，增加了整体结构的美观性。
This project advances the design process developed through a previous project by the team, ‘X-Form 1.0’, to enable greater design freedom, efficiency and integration of multiple boundary conditions.
International Association for Shell and Spatial Structures Expo 2019
Robotic fabrication and assembling process
copyright by Dingwen 'Nic' Bao, Xin Yan, Yi Min' Mike' Xie
3. Cast-Bodies Installation Design
这项研究的重点是探索一种新的设计方法，整合了拓扑优化，行为算法和机械臂先进制造。CastBodies装置的生成设计和增材制造对该方法进行了测试。该项目利用3D打印复杂形态模具和混凝土浇铸的策略探索了复杂的晶格结构形态的全新设计和制造方式。
The focus of this research is a design methodology that engages topological optimisation, behavioural algorithms and robotic fabrication. This methodology was tested through the generative design and additive manufacture of an installation exhibited at the 2nd Annual Design Research Conference and Future Prototypes Exhibition. The project contributes to our research agenda exploring the design and fabrication of intricate lattice structures through the application of 3D printed formwork and concrete casting strategies.
Future Prototype 2020 Melbourne Design Week
copyright by Dingwen 'Nic' Bao, Roland Snooks, Yi Min' Mike' Xie
4. Floe 2.0 Installation Design
该项目涉及了行为算法设计和大规模机械臂3D打印的建筑应用领域。该项目采用了机械臂3D打印聚合物复合材料并使用了行为算法设计方法，此过程利用了集群智能的逻辑并通过多智能体算法进行操作。
The project relates to the field of behavioural algorithmic design and the architectural application of large-scale robotic 3D printing. This project is part of an ongoing generative design research trajectory that employs robotic 3D printing of polymer composites and uses behavioural processes of design, which draw on the logic of swarm intelligence and operate through multi-agent algorithms.
2018 Hong Kong Business of Design Week
copyright by Dingwen 'Nic' Bao and Roland Snooks
5. 2019年 “天工杯”结构优化设计及增材制造大赛全国一等奖作品
The first prize of the national competition on structural optimization & additive manufacturing in China 2019
主题为铰链力臂结构设计, 其利用改进的BESO算法进行迭代分析，通过调整边界条件、设计域及BESO参数来自动生成概念设计模型达到在限定材料体积的情况下优化结构能承受最大的载荷并通过加载试验考核。
In this work, we proposed an efficiently and quickly methodology to realizing optimized designs in practice, which makes the topology optimization technique a more usable and accessible technology. The bi-directional evolutionary structural optimization (BESO) technique provides the conceptional design, and the smooth scheme is used to determine the structural boundary accurately. The competition experiment and quasi-loading simulation valid the advantages of the proposed design methodology. In the on-site loading test of the final competition, our design bore the highest load and won the first prize in the competition. The experience from the competition structural design can help designers and engineers to use BESO to create elegant and efficient structures.
Structural Optimization Process
copyright by Yulin Xiong, Dingwen 'Nic' Bao, and Xin Yan
自20世纪末计算辅助设计技术被引入建筑设计以来，“结构找形”这一主题就再次焕发了新的活力。建筑发展的历史就是结构形态演进的历史，从希腊罗马时期的筒拱、穹顶到拜占庭、哥特时期的十字拱、帆拱、尖劵拱，再到以安东尼奥·高迪、弗雷·奥托为代表的实验建筑师对建筑结构形态的模拟，建筑的形态与结构的优化设计一直密切相关。
Since the introduction of computational aided design technology into the architectural design at the end of the 20th century, the topic of form-finding based on structural performance has gained new momentum. The development of architectural technology is closely related to the evolution of structural morphology, from barrel arches and domes in the period of Greece and Rome to pendentives and flying buttresses in the period of Byzantium and Gothic; from physical models used by Antonio Gaudi and Frey Otto to the application of topological optimization technology (BESO) to architectural design proposed by Mike Xie, architectural morphology and structural optimization have always been reinforcing each other.
随着谢亿民院士团队对双向渐进结构优化法（BESO）进一步的更新以及对最新拓扑优化插件Ameba的开发，建筑师们将通过一种新的力学模拟算法，更智能化地与计算机协同合作，创造高效、新颖的建筑形态，引入先进的3D打印建造技术，以促进大规模定制在建筑领域里的应用。
The new approach of generative architectural design will be introduced in this workshop. Students will be instructed to develop their skills of architectural design through the application of topological optimization (BESO) software Ameba and advanced digital modelling software. The concept of topological optimization and the inspiration of Gaudi’s Sagrada Familia will be run through pavilions form-finding, the optimization and architectural ornamental skin design. Students will be required to complete a series of tasks from small scale to large scale, to design, optimize and 3D print a small-scale pavilion individually or in pair, finally set up a virtual exhibition together.
本次数字未来由谢亿民院士、鲍鼎文博士和严鑫博士带队的 RMIT组工作营主题为“仿生形态：基于拓扑优化的仿生建筑结构形态生成”，将通过双向渐进结构优化法及其软件Ameba的讲解及应用，引导学生从力学模拟的角度思考建筑形态的生成方法。高迪圣家堂的有机仿生形态和拓扑优化的理念将贯穿于此工作营的空间结构找形和仿生表皮设计，将拓扑优化方法和仿生灵感应用于建筑形态设计上。学生们将通过个人或分组的方式完成空间结构找形，优化设计及建筑表皮设计。学生通过本次教学，将学会建筑结构拓扑优化找形和复杂建筑表皮形态生成等，同时也会通过生成设计和结构优化的思路，完成一些系列先进数字化的建模及相关3D打印作品。
The workshop includes the followig：
1. Basic methods and strategies for form-finding by BESO method
2. Research on the lightweight spatial structure design and its method of fabrication.
3. The experiment on designing and optimization of spatial structures by using the newest topological optimization software Ameba
4. Develop and optimize the pavilion through topological optimization BESO method
5. Digital model complex architectural skins and create optimised hierarchical structure.
相关软件要求: Rhino, Grasshopper, Maya (非必要) & Zbrush
Required Softwares: Rhino, Grasshopper, Maya (optional) & Zbrush
课程计划在工作营期间，学员单独或两人合作使用Ameba和数字建模软件完成一个仿生建筑空间结构设计方案,设计、优化及3D打印模型（可选）。虚拟展板及模型展示空间和相关模拟视频动画。
Expected Outcomes: Students will learn how to use Ameba (BESO) & digital modelling software for bio-inspired architectural & structural form-finding and structural analysis individually or in pair, and thus explore a new tool for architectural design, as well as use 3D printers to fabricate the models (optional). Later make a virtual exhibition with panels, digital models and videos.
以下是谢亿民团队及其学生的拓扑优化生成设计及3D打印作品
Urban Design + Data Viz | Tang Ge, MetroDataTech/City Data Group
Architecture Intelligence | Hao Zheng, Upenn
Interaction Design | Brad Cantrell, UVA + Xun Liu, UVA+ Waishan Qiu, Cornell
Computational Design | Alyisa Andrasek, RMIT
Computational Design | Biao Li, Li Li, Southeast University
Computational Design | Mark Burry, Swinburne
Architecture Intelligence | Matias del Campo + Sandra Manninger, UMichigan
Robotic Fabircation | Philip Yuan, CAUP / Achim Menges, ICD
Structural Design | Mike Xie + Nic Bao, RMIT
Computational Design | Roland Snooks, RMIT
Neuro Design | Kris Mun, Sensory Architectures + Georgios Christopolous , NTU Singapore + Ying Wu
Architecture Intelligence | Wanyu He, XKool
Robotic Fabircation | Gilles Retsin, Bartlett UCL
Robotic Fabircation | Yunsheng Su, Tongji University
Structural Design | Philippe Block, ETH
Robotic Fabircation | Areti Markopoulou, IaaC
Robotic Fabircation | Mette Thomsen, CITA
AR/VR | Biayna Bogosian, FIU
Theory | Antoine Picon GSD
Theory | Neil& Yanchao
Computational Design | Shajay Bhooshan, ZHA Code
Computational Design | Daniel Bolojan + Emmanouil Vermisso + Shermeen Yousif, FAU
……(列表更新中，精彩待续)
延期至，2020年6月6日中午12:00至6月10日中午12:00
***请申请者提前准备一张jpeg或png作品文件，图片尺寸和版式不限，文件大小不超过7MB（受腾讯报名系统限制）
·工作营具体教学信息和招生要求将于6月6日中午12:00之前在Fab-Union公众号和官方网站上陆续公布。
· 线上申请表将在6月6日中午12:00准时通过腾讯问卷和Google Doc问卷发布，报名链接可在Fab-Union公众号和官方网站上获取。
1.关注Fab-Union公众号、digitalfutures.tongji.edu.cn或www.digitalfutures.world网站，获取各组工作营的教学信息，以及各组工作营关于软件技能、软件设备、硬件设备的不同招生要求。
2. 在6月6日中午12:00至6月10日中午12:00之间登陆腾讯报名系统，在报名表中用英文填写：
· 联系邮箱、姓名、教育或工作履历、获奖情况
· 上传一张jpeg或png作品文件，图片尺寸和版式不限，文件大小不超过7MB
· 选择一个工作营报名志愿，并对照网站中该组招生要求，如实填写申请者已满足/拥有的软件技能、软件设备、硬件设备
· 选择申请意向为：“正式学员（Active Student）”或“旁听学员（Auditing Student）”
· 提交报名表
***“正式学员（Active Student）”意味着学员会全程亲身参与到工作营学习中，与导师互动，完成教学成果，并最终获得结业证书。“旁听学员（Auditing Student）”意味着学员可以全程旁听工作营教学，但是无法与导师互动，也不会被授予结业证书。
3.组委会收到申请者报名信息后，会提交给各组工作营导师进行审核。
4.该志愿录取结果将于6月13日中午12:00之前以邮件形式发送给申请者。成功入选的申请人可以根据邮件信息加入指定微信群。
5.对于未入选者，仍可在6月13日中午12:00之后关注网站，届时如有仍未满员的工作营，可通过组委会提供的渠道在6月15日中午12:00之前完成第二志愿报名，录取结果将于6月17日中午12:00之前以邮件形式发送给申请者。
***网站中将分别列出每组工作营的“正式学员满员”和“旁听学员满员”两种状态，申请者可根据显示的状态选取未满员工作营作为第二志愿。例如，某工作营只显示“正式学员满员”，申请者仍可以“旁听学员”的意向申请该工作营。
6.此过程将以两天为一个申请反馈周期持续进行，直到所有工作营满员。
请申请者加入官方微信群组以获取实时信息更新
微信实时信息发布及咨询群组 : DigitalFUTURES 2020 Inquiries（关注“FabUnion”微信公众号后台回复“ 微信群 ”，即可获取最新的群二维码）
关于更多信息，请随时关注 digitalfutures.tongji.edu.cn
和 www.digitalfutures.world 网站的更新。
联系 ：digitalfutures@tongji.edu.cn
点击“阅读原文”查看更多
版权©www.gooood.cn，欢迎转发，禁止以gooood编辑版本进行任何形式转载
▼点击阅读原文了解详情
