Multi-Objective Density Diagrams Developed With Machine Learning Models to Optimize Sustainability and Cost-Efficiency of UHPC Mix Design /

Bibliographic Details

Main Author:	Sarmento Goncalves Martins E Tavares, Cesario (Author)
Other Authors:	Grasley, Zachary (Thesis advisor)
Format:	Thesis eBook
Language:	English
Published:	[College Station, Texas] : [Texas A&M University], [2023]
Subjects:	Major Civil Engineering UHPC Environmental Impact Machine Learning Sustainability Mixture Proportioning Cost-efficiency Optimization Artificial Intelligence Multi-Objective
Online Access:	Link to OAKTrust copy