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High-performance concrete compressive strength prediction using Soft computing

delete2026-01-24
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PRE
AI
Y
Yushuai Zhang
X
Xiao Li *
Y
Yunqiang Wang
Z
Zhenyu Wang
C
Chuan Shi *
J
Jiyong Lei
L
Licheng Sun
DOI:10.1016/j.cie.2026.111840delete
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摘要

摘要

En 中文
• The research presents a new approach for predicting the compressive strength of high-performance concrete by combining unique feature engineering with a machine learning model optimized through advanced techniques. • A comprehensive set of features based on concrete materials science was developed, leading to the identification of the most influential factors affecting compressive strength. • Analysis techniques were employed to reveal the key predictors of compressive strength, providing valuable insights for concrete mix design and quality control.

期刊

C
Computers & Industrial Engineering
IF:
6.5
论文数:
492
被引数:
0

机构

C
Chongqing College of Mobile Communication
学者数:
38
论文数: 25
被引数: 0
X
Xijing University
学者数:
2.0K
论文数: 1.5K
被引数: 1.5K
P
People's Liberation Army
学者数:
36
论文数: 18
被引数: 912
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