Experimental and Analytical Study on Ultimate Property of Rubber Bearings (part 5): Prediction of Buckling Property of Natural Rubber Bearings With Flare-like Structure Based on Surrogate Model Using Machine Learning
Year: 2024
Type: article
Abstract: In the previous study, the author proposed a new flare-like structure with the aim of improving buckling property, and evaluated the ultimate properties of a high-damping rubber bearing with the proposed structure. In the case of a flare-like structure, the structure is more complex than conventional structures, resulting in more design parameters. In recent years, machine learning has drawn attention as a method for predicting the characteristics of products with many parameters. In this study, a method for predicting the buckling property of natural rubber bearings using machine learning is proposed.
DOI: 10.3130/aijs.90.50
Author: Takahiro MORI
Language: English
Subfield: Civil and Structural Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4405929652