Predicting Mechanical Properties of High-Performance Fiber-Reinforced Cementitious Composites by Integrating Micromechanics and Machine Learning

Predicting Mechanical Properties of High-Performance Fiber-Reinforced Cementitious Composites by Integrating Micromechanics and Machine Learning

Current development of high-performance fiber-reinforced cementitious composites (HPFRCC) mainly relies on intensive experiments. The main purpose of this study is to develop a machine learning method for effective and efficient discovery and development of HPFRCC. Specifically, this research develo...

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Bibliographic Details
Main Authors: Pengwei Guo, Weina Meng, Mingfeng Xu, Victor C. Li, Yi Bao
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Materials
Subjects:
ductility
high-performance fiber-reinforced cementitious composites (HPFRCC)
machine learning
mechanical properties
micromechanics model
Online Access:https://www.mdpi.com/1996-1944/14/12/3143

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