A computationally efficient approach of tuned mass damper design for a nuclear cabinet based on two-step machine learning and optimization methods

Chaeyeon Go, Shinyoung Kwag, Seunghyun Eem, Jinsung Kwak, Jinho Oh

Research output: Contribution to journal › Article › peer-review

Fingerprint

Dive into the research topics of 'A computationally efficient approach of tuned mass damper design for a nuclear cabinet based on two-step machine learning and optimization methods'. Together they form a unique fingerprint.

Engineering

Material Science