Hayashi Lab develops innovative architectural/structural design methods through novel computational techniques for safety, efficiency, sustainability, and aesthetics.
Structural optimization
Structural optimization is a technique used to computationally design structures that perform their intended functions with maximum efficiency. With advancements in computational power and algorithm development, modern optimization methods can now generate practical and efficient design solutions within realistic timeframes for real-world problems. Our team is dedicated to pushing the boundaries of design possibilities through structural optimization, aiming to uncover innovative and unexpected structural forms.
Fabrication-aware design
Fabrication-aware design refers to an approach to designing structures that considers the limitations, capabilities, and processes involved in their fabrication and construction. This design philosophy ensures that the structure can be effectively and efficiently built, reducing complications during fabrication, improving material efficiency, and leading to cost savings. Our group aims to develop new design and construction paradigms integrating mathematics, structural mechanics, digital fabrication, etc.
AI-assisted structural design
Artificial intelligence (AI) techniques have the potential to streamline and enhance the process of designing structural systems. Our group develops bespoke AI models that consider the unique properties of structural configuration and design problems. This specialized AI model ensures promising performance compared to generalized AI models at a significantly lower computational cost.