A Bayesian machine learning approach for inverse prediction of high-performance concrete ingredients with targeted performance
Author:
Funder
University of Bath
Publisher
Elsevier BV
Subject
General Materials Science,Building and Construction,Civil and Structural Engineering
Reference47 articles.
1. A review on ultra high performance concrete: part I. Raw materials and mixture design;Shi;Constr. Build. Mater.,2015
2. Advances in alternative cementitious binders;Juenger;Cem. Concr. Res.,2011
3. The durability characteristics of high performance concrete: a review;Aı̈tcin;Cem. Concr. Compos.,2003
4. Reactivity of supplementary cementitious materials (SCMs) in cement blends;Skibsted;Cem. Concr. Res.,2019
5. Recent advances in understanding the role of supplementary cementitious materials in concrete;Juenger;Cem. Concr. Res.,2015
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