A Review of Research on Prediction Methods for Compressive Strength of Concrete

Junjie Liu

doi:10.54691/n1f9hj06

Authors

Junjie Liu

DOI:

https://doi.org/10.54691/n1f9hj06

Keywords:

Compressive Strength of Concrete; Prediction; Machine Learning.

Abstract

Concrete is one of the most widely used building materials in the world. The compressive strength of concrete is a crucial parameter in construction engineering as it directly affects the safety performance and stability of building structures. Therefore, accurately predicting the compressive strength of concrete has become a widely discussed issue across various fields. Both traditional prediction methods and machine learning techniques, which have gained popularity in recent years, play important roles in this field. Researchers have started applying these methods to predict the compressive strength of concrete. This article will introduce some methods used for predicting the compressive strength of concrete.

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