Title: Simulation study on compressive strength and elastic modulus of concrete under multiaxial stress
Authors: Jianwei Cui
Addresses: School of Civil Engineering, Shangdong Polytechnic, Ji'nan 250104, China
Abstract: In order to solve the problems of poor accuracy and low accuracy in the calculation of the compressive strength and elastic modulus of building concrete, this paper presents a simulation study of the compressive strength and elastic modulus of concrete under multi-axial stress. By constructing concrete feedforward neural network structure, the overall quality of concrete compressive strength is improved. The single hidden layer feedforward neural network is used to calculate the elastic modulus of concrete. The concrete multiaxial model is built to simulate the compressive strength and elastic modulus of concrete under multiaxial stress. In order to verify the accuracy of the prediction method of concrete compressive strength, a comparative test was designed to verify it. The results show that the method presented in this paper can effectively improve the prediction accuracy of the compressive strength of building concrete and the calculation accuracy of the elastic modulus of concrete.
Keywords: structure of feedforward neural network; elastic modulus; uniaxial model of concrete; compressive strength.
International Journal of Materials and Product Technology, 2022 Vol.64 No.3/4, pp.254 - 264
Received: 18 Mar 2021
Accepted: 24 May 2021
Published online: 16 May 2022 *