Application of Data-Driven Surrogate Models in Structural Engineering: A Literature Review

A holistic sustainability overview of hemp as building and highway construction materials

Ensemble machine learning models for predicting the CO2 footprint of GGBFS-based geopolymer concrete

Determination of mortar strength using stone dust as a partially replaced material for cement and sand

Surrogate models for seismic and pushover response prediction of steel special moment resisting frames

Evaluation of self-compacting rubberized concrete properties: Experimental and machine learning approach