Analysis and prediction of the axial compression properties of desert sand concrete with steel tube restraint based on an improved BP neural network model.

ABSTRACT: Accurate analysis and prediction of axial compression are important for ensuring the construction quality and safety of desert sand recycled aggregate concrete confined by steel tubes. In this study, the axial compressive strength and elastic modulus of recycled aggregate concrete with different sand contents, water-cement ratios, and steel constraints were tested to evaluate the effects of these factors on the axial compressive performance of the recycled aggregate concrete. It was determined that a steel tube restraint could effectively improve the ductility of desert sand recycled aggregate concrete. However, with increases in the sand content and water-cement ratio, the peak stress slightly decreased. The axial compressive strength and elastic modulus of the recycled sand aggregate con

SUBMITTER: Xiaoqian W 

PROVIDER: S-EPMC12453194 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature