Recycled concrete bridge engineering based on artificial intelligence algorithm

Abstract

In recent years, the construction industry has developed rapidly. As the largest amount of building materials, the consumption of concrete is increasing day by day. As a kind of green and healthy concrete, the development and application of recycled concrete(RC) can not only alleviate the occupation of natural resources by concrete and ensure the sustainable development of human society, but also have important significance for resource recycling and environmental protection. Based on this, this paper puts forward artificial intelligence algorithm(AIA), discusses its application in RC bridge engineering, and briefly analyzes the basic mechanical properties, processing technology and mix design of RC; The grey neural network predictive control of the durability index of RC bridge is discussed, and the network output results of the predicted and measured strength of RC bridge of AIA are measured through experiments. The results show that the predicted results have a certain guiding effect on the subsequent construction control, and verify the feasibility of applying AIA to RC bridge engineering proposed in this paper.