Title: Strength prediction method of fibre nano concrete based on particle swarm optimisation

Authors: Feng Qiu; YunFeng Zhao; Shoujie Han

Addresses: School of Civil Engineering, Shangqiu Institute of Technology, Shangqiu, 476000, China ' School of Civil Engineering, Shangqiu Institute of Technology, Shangqiu, 476000, China ' School of Civil Engineering, Shangqiu Institute of Technology, Shangqiu, 476000, China

Abstract: This paper presents a strength prediction method of fibre nano concrete based on particle swarm optimisation algorithm. The influencing factors of concrete strength are analysed to obtain the influencing factor set. The random forest algorithm is used to regress the influencing factors, collect the strength data of fibre nano concrete, obtain the strength parameters, and preprocess them. According to the preprocessing results, calculate the support and confidence of the parameters, so as to construct the strength prediction model of fibre nano concrete and output the initial prediction results, The particle swarm optimisation algorithm is used to optimise the initial prediction results, construct the objective optimisation function of the initial prediction results, and obtain the optimisation results of the objective function, that is, the optimal prediction results. The simulation results show that the prediction results of this method have higher accuracy, shorter prediction time and more application value.

Keywords: particle swarm optimisation; nano concrete; strength prediction; random forest; chaotic system.

DOI: 10.1504/IJMMP.2022.125564

International Journal of Microstructure and Materials Properties, 2022 Vol.16 No.2/3, pp.194 - 205

Received: 04 Mar 2022
Accepted: 02 Jun 2022
Published online: 15 Sep 2022 *

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