Application of ensemble model in capacity prediction of the CCFST columns under axial and eccentric loading.

ABSTRACT: Understanding the load-carrying capacity of circular concrete-filled steel tube (CCFST) columns is crucial for designing CCFST structures. However, traditional empirical formulas often yield inconsistent results for the same scenario, causing confusion for decision makers. Additionally, simple regression analysis is unable to accurately predict the complex mapping relationship between input and output variables. To address these limitations, this paper proposes an ensemble model that incorporates multiple input features, such as component geometry and material properties, to predict CCFST load capacity. The model is trained and tested on two datasets comprising 1305 tests on CCFST columns under concentric loading and 499 tests under eccentric loading. The results demonstrate that the propo

SUBMITTER: Wang J 

PROVIDER: S-EPMC10257682 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature