Application of Artificial Intelligence Technologies in Concrete and Nanomaterials

Abstract

With the continuous adjustment of contemporary technology, artificial intelligence has gradually become irreplaceable. The main goal of the paper is to discuss the core of artificial intelligence - machine learning and its application in basic concrete materials and nanomaterials. Concrete is a kind of mixed material with high hardness, high compressive strength, low cost and easy production; Nanomaterials, whose properties are mainly determined by quantum mechanics, consist of a powdery or agglomerated natural or artificial material composed of basic particles. With the continuous advancement of modern technology, machine learning algorithms are gradually replacing previous technical algorithms such as manual algorithms, and becoming a very important tool in the engineering field. However, with the increasing complexity of various new materials, some materials such as nanomaterials have still not fully mastered the application methods of machine learning data analysis, therefore they have some limitations on their use. In this work, the impact and role of machine learning on material applications are discussed. Data patterns learned by humans are entered into machine learning, and high-dimensional data are easier to analyze. Machine learning has brought the development of concrete and nanotechnology in the field of materials to a new level, and a new milestone has come for technology to replace labor.