The invention provides an ultra-
high performance concrete proportion design method based on an intelligent
algorithm and functional requirements. The method comprises the following steps: S1, constructing an ultra-
high performance concrete performance prediction database; s2, automatically selecting key variables based on function requirements; s3, training and predicting a
machine learning model based on function requirements; and S4,
optimal design of the ratio of the ultra-
high performance concrete. According to the unsupervised
anomaly detection method based on the isolation forest, the
database is preprocessed, and the ultra-high performance concrete proportion design key variables are selected through the
automatic variable selection method, so that rapid mapping from the mixing amount of each component of the ultra-high performance concrete to each function demand index is realized; through the
particle swarm optimization (PSO), the ultra-high performance concrete with
specific function requirements is subjected to proportioning design, and finally the ultra-high performance concrete proportioning value closest to the function requirement index is obtained, so that the problems of time and labor consumption, low efficiency and resource waste are solved.