Leveraging Ensemble Structures to Elucidate the Impact of Factors That Influence the Quality of Ultra-High Performance Concrete
Author:
Affiliation:
1. University of Kassel,Department of Measurement & Control,Kassel,Germany
2. G.tecz Engineering GmbH,German Technologies & Engineering Concepts,Kassel,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10371778/10371788/10371800.pdf?arnumber=10371800
Reference34 articles.
1. Machine learning in concrete science: applications, challenges, and best practices
2. Materials for Production of High and Ultra-High Performance Concrete: Review and Perspective of Possible Novel Materials
3. Predicting the compressive strength of concrete up to 28 days-ahead: comparison of 16 machine learning algorithms on benchmark datasets;Rezazadeh,2022
4. System of experimental design: engineering methods to optimize quality and minimize costs;Taguchi,1987
5. Analysis of Concrete Strength Versus Water-Cement Ratio Relationship
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