Machine-Learning-Aided Concrete Mixture Optimization

Junfei Zhang

Research output: ThesisDoctoral Thesis

719 Downloads (Pure)

Abstract

It is labour and resource intensive to optimize mixture proportions of concrete with multiple competing objectives. The aim of this thesis is to solve the multi-objective mixture optimization problem. Several imputation methods were firstly developed to replace missing values in the datasets. Then, machine learning models were used to predict properties of concrete to establish objective functions. Finally, multi-objective mixture optimization was conducted using metaheuristic optimization algorithms. This research assists in paving the way for intelligent construction in civil engineering.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • The University of Western Australia
Supervisors/Advisors
  • Nener, Brett, Supervisor
  • Huang, Yimiao, Supervisor
  • Lehane, Barry, Supervisor
  • Ma, Guowei, Supervisor
Award date16 Feb 2021
DOIs
Publication statusUnpublished - 2020

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