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Suzuki Lab
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A lab that uses mathematical methods to optimize the design of structures such as ships, aircraft, and machines.
AboutAbout the lab
Optimal structural design through mathematical methods
The lab uses mathematical methods such as optimal design and machine learning to optimize the design of systems in which structures, artifacts, people, and society interact.
Its targets are wide-ranging, including naval architecture, aerospace engineering, mechanical engineering, and sports engineering.
The lab works closely with industry, advancing the design of actual products through joint research with companies.
The Suzuki Lab and the Yonekura Lab jointly conduct part of their research and education.
Key terms
- Computational mechanics
- The field that solves mechanics problems, such as the deformation of objects and fluid flow, through numerical computation on computers
- Generative model
- An AI model that learns features from large amounts of data and creates new data (here, shapes)
- Topology optimization
- A design method that has a computer automatically derive shapes that satisfy given requirements, based on physical simulation and mathematical optimization
ResearchResearch themes
Using computational mechanics, machine learning, and mathematical optimization methods, the lab develops optimal design methods for interdisciplinary fields that span mechanical structures and social systems. Beyond fundamental research, it also pursues applied research on the development and design of actual products through joint research with companies.
*Illustrative imageData-driven design with deep learning
This research applies deep learning to mechanical design from the perspectives of performance prediction, shape generation, and shape modification. For example, the lab studies a generative model that modifies a wing shape to increase lift while preserving the characteristics of the wing type.
*Illustrative imageOptimal design with topology optimization
The lab extends topology optimization methods to a wide range of design problems. It also works on speeding up computation, designing with combinations of multiple materials, and deriving lattice structures to be fabricated with 3D printers.
*Illustrative imageShip structures and next-generation ships
The lab analyzes ships, which are large structures moving through waves, using computational mechanics that covers both structure and fluid, and optimizes their design. It also addresses the optimal design of next-generation ships for carbon neutrality.
MembersFaculty
The lab's members consist of faculty, project researchers, secretaries, and doctoral, master's, and undergraduate students.As of 2021
- ProfessorKatsuyuki SuzukiPublications ↗
- Associate ProfessorKazuo YonekuraPublications ↗
- Assistant Professor小川 竣
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “DH-60 Gipsy Moth Wing Structure” Peripitus / CC BY-SA 3.0 (cropped)
- Data-driven design with deep learning: “VarPresA12L” OverG / CC BY 3.0 (cropped)
- Optimal design with topology optimization: “3D-printed Microstructure” Robin Zitt / CC BY-SA 4.0 (cropped)
- Ship structures and next-generation ships: “Cargo naviguant par tempête en mer Méditerranée (Ifremer )” Olivier Dugornay (IFREMER) / CC BY 4.0 (cropped)
- Related lab (Fukui-Hashiba Lab (Development Machinery Lab)): “FG Reiche Zeche” Norbert Kaiser / CC BY-SA 2.5 (cropped)
- Related lab (Sakai Lab): “Granulaat” Stegemeijer / Public domain (cropped)
- Related lab (Kawabata Lab): “Third tank LNG Terminal Swinoujscie 2022” Boevaya mashina / CC BY-SA 3.0 (cropped)
- Related lab (Okuda-Matsunaga Lab): “Pleiades two row” NASA Ames Research Center / Public domain (cropped)
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