Transfer Learning-Based Surrogate Modeling for Nonlinear Time-History Response Analysis of High-Fidelity Structural Models

Fuente: arXiv

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Bibliographic Details
Main Authors:	Ishikawa, Keiichi, Matsumoto, Yuma, Yaoyama, Taro, Lee, Sangwon, Itoi, Tatsuya
Format:	Preprint
Published:	2025
Subjects:	Computational Engineering, Finance, and Science
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2512.14161