Prediction of compressive strength of mortar with copper slag addition by using artificial neural network-Reference-Cited by-同舟云学术

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Prediction of compressive strength of mortar with copper slag addition by using artificial neural network

Published:2022-05-18 Issue:4 Volume:23 Page:2419-2434
ISSN:1464-4177
Container-title:Structural Concrete
language:en
Short-container-title:Structural Concrete

Author:

Yan Zhuhua¹²,Sun Zhenping¹²^ORCID,Zhao Yihe¹²,Ji Yanliang¹²,Tian Juntao¹²

Affiliation:

1. Key Laboratory of Advanced Civil Engineering Materials of Ministry of Education Tongji University Shanghai China

2. School of Materials Science and Engineering Tongji University Shanghai China

Funder

National Natural Science Foundation of China

Science and Technology Commission of Shanghai Municipality

China Scholarship Council

Publisher

Wiley

Subject

Mechanics of Materials,General Materials Science,Building and Construction,Civil and Structural Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/suco.202100204

Reference35 articles.

1. The effect of copper slag on the hydration and mechanical properties of cementitious mixtures

2. Effect of secondary copper slag as cementitious material in ultra-high performance mortar

3. Copper slag waste as a supplementary cementing material to concrete

4. Effect of copper slag and cement by-pass dust addition on mechanical properties of concrete

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1. Assessment of short and long-term pozzolanic activity of natural pozzolans using machine learning approaches;Structures;2024-10

2. Artificial intelligence techniques in advanced concrete technology: A comprehensive survey on 10 years research trend;Engineering Reports;2023-05-23

3. Assessment of fracture energy of strain‐hardening fiber‐reinforced cementitious composite using experiment and machine learning technique;Structural Concrete;2022-12-02

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