목표 내력을 고려한 벌집 격자 구조 강재 댐퍼의 다중목적 최적화 기반 역설계

초록

In this study, multi-objective optimization of honeycomb lattice steel dampers aims to achieve a lightweight design and maximize energy dissipation. A surrogate model for seismic performance is generated based on design of experiments (DOE). Multi-objective optimization is performed using a non-dominated sorting genetic algorithm. An analysis of the Pareto optimal set identifies trade-off points between design variables that achieve the target internal force. A finite element analysis conducted on the selected optimal points serves to validate the results. The optimally designed honeycomb lattice steel dampers demonstrate approximately 30% material savings compared to conventional steel rod dampers while maintaining equivalent seismic performance. Additionally, these dampers can be reverse engineered to achieve specific target internal forces.

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