AI-guided auto-discovery of low-carbon cost-effective ultra-high performance concrete (UHPC)
Resources, Conservation and Recycling（2023）
Abstract
•Auto-discovery of low-carbon ultra-high performance concrete (UHPC) is achieved.•Predictive models are established based on synthetic data and automated machine learning.•Compressive and flexural strengths, mini-slump spread, and porosity of UHPC are predicted.•Carbon footprint, embodied energy, cost, and mechanical properties are optimized.•New UHPC mixtures are discovered by evolutionary many-objective optimization.
MoreTranslated text
Key words
Carbon footprint,Embodied energy,Machine learning,Many-objective optimization,Semi-supervised learning,Synthetic tabular data,Ultra-high performance concrete (UHPC)
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined