Title: Fracture toughness analysis of nano steel fibre reinforced concrete based on improved locust algorithm

Authors: Yanmin Chen; Lina Zheng; Pu Miao

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: A fracture toughness analysis method of nano steel fibre reinforced concrete based on improved locust algorithm was proposed in this paper. Firstly, P-CMOD curve is introduced to analyse the fracture mechanism of nano steel fibre reinforced concrete. Then, the minimum CART tree is trained by CART algorithm, and the objective function of fracture toughness is obtained by iterative training. Finally, the improved locust algorithm is introduced to calculate the fracture energy coefficient of nano steel fibre reinforced concrete, and the softening curve is modified by this algorithm to achieve the fracture toughness analysis of nano steel fibre reinforced concrete. The experimental results show that the concrete fracture toughness of this method is 0.56 Mpa·m^-1/2, and the critical crack opening displacement is 0.240 mm. The analytical values are consistent with the actual values. This method improves the analysis effect of fracture toughness and critical crack opening displacement of nano steel fibre reinforced concrete.

Keywords: improved locust algorithm; machine learning; fracture toughness; softening curve; CART algorithm.

DOI: 10.1504/IJMPT.2023.132195

International Journal of Materials and Product Technology, 2023 Vol.67 No.1, pp.66 - 81

Received: 29 Oct 2022
Accepted: 08 Feb 2023
Published online: 12 Jul 2023 *

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