Title: Modelling study on the influence of nano admixture on the strength of high-rise building concrete

Authors: Jipeng Liu; Fang Yan

Addresses: Department of Civil Engineering, Henan University of Engineering; Zhengzhou, 451191, China ' Zhengzhou University of Aeronautics, Zhengzhou, Henan 450002, China

Abstract: To solve the problem of high prediction error of concrete strength in traditional methods, a modelling method of the influence of nano admixtures on the strength of high-rise building concrete is proposed. UHPC concrete was selected as the test object to prepare different test blocks. Establish the concrete strength prediction model based on RBF network, optimise the prediction model, obtain the multivariate nonlinear model, input the material preparation data of nano admixture into the model, output the concrete strength prediction results, and complete the analysis of the impact of nano admixture on concrete strength. The test results show that the compressive strength of concrete reaches the best when the nano content is 1%; When the content of nano admixture is 30%, the flexural strength of concrete is the best; When using this method to predict the strength of concrete test block, the minimum prediction error is only 0.5%.

Keywords: nano admixture; concrete strength; compressive strength; flexural strength; multivariate nonlinear model.

DOI: 10.1504/IJMMP.2022.123325

International Journal of Microstructure and Materials Properties, 2022 Vol.16 No.1, pp.12 - 25

Received: 29 Nov 2021
Accepted: 11 Apr 2022
Published online: 09 Jun 2022 *

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