A Recurrent Neural Network-Based Method for Dynamic Load Identification of Beam Structures.

ABSTRACT: The determination of structural dynamic characteristics can be challenging, especially for complex cases. This can be a major impediment for dynamic load identification in many engineering applications. Hence, avoiding the need to find numerous solutions for structural dynamic characteristics can significantly simplify dynamic load identification. To achieve this, we rely on machine learning. The recent developments in machine learning have fundamentally changed the way we approach problems in numerous fields. Machine learning models can be more easily established to solve inverse problems compared to standard approaches. Here, we propose a novel method for dynamic load identification, exploiting deep learning. The proposed algorithm is a time-domain solution for beam structures based on t

SUBMITTER: Yang H 

PROVIDER: S-EPMC8709267 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature