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From forces to forms: Innovative structural design based on multi-material topology optimization
Dr. Yu Li
Ph.D. at Tongji University
Dr. Li possesses a diverse educational background, earning his bachelor’s degree in Civil Engineering from Huazhong University of Science and Technology in 2016, followed by a master’s degree in Architecture from Tongji University in 2019. Recently, he successfully obtained his Ph.D. degree from the College of Architecture and Urban Planning (CAUP) at Tongji University and has had a visiting study at the Centre for Innovative Structure and Material (CISM) at RMIT University, Australia.
Throughout his academic journey, Dr. Li has focused on topology optimization, with a particular emphasis on multi-material topology optimization. Under the co-supervision of Prof. Mike Xie and Prof. Phillip Yuan, his research efforts have yielded remarkable results, recognized through publications in prestigious journals such as Composite Structures and Engineering Structures.
Expanding on the well-known Bi-directional Evolutionary Structural Optimization (BESO) method, Dr. Li originally proposed the multi-material BESO method, considering the different mechanical performance of multiple materials in tension and compression. The application of this method to several practical and conceptual projects has demonstrated its rationality and the potential it holds for engineering structures.
Abstract
In traditional architectural design processes, architects take the lead role while structural engineers collaborate with them to execute the structural design based on conceptual plans. However, with the emergence of structural performance-based architectural design, new tools such as topology optimization techniques can be utilized to aid architects in the conceptual design stage. One such technique is the multi-material Bi-directional Evolutionary Structural Optimization (multi-material BESO) method, which is originally proposed by our team. This method considers the mechanical performance differences of materials in tension and compression and is highly applicable to the design of composite structures, such as steel-concrete structures. This study applied the multi-material BESO method in the generative structural design for several practical and conceptual architectural projects, resulting in several innovative structural forms. After structural analysis and verification, these new structural forms not only exhibit an elegant appearance but also demonstrate high structural efficiency and competitive construction economy. These examples illustrate the significant potential of multi-material topology optimization in generative architectural design. By using this method, architects can design structures that are not only aesthetically pleasing but also structurally efficient and cost-effective.
Host
Wei Wu
Wei Wu is a designer and computational artist with a Master's degree in Design Studies from Harvard University Graduate School of Design. She operates at the intersection of design and emerging technologies, producing work that encompasses robotic installations, interactive media art, and extended reality design.
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