Prediction of compressive strength of lightweight mortar exposed to sulfate attack-Reference-Cited by-同舟云学术

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Prediction of compressive strength of lightweight mortar exposed to sulfate attack

Published:2017-02-25 Issue:2 Volume:19 Page:217-226
ISSN:1598-8198
Container-title:Computers and Concrete
language:en
Short-container-title:Computers and Concrete

Author:

Tanyildizi Harun

Publisher

Techno-Press

Subject

Computational Mechanics

Cited by 18 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep learning–based prediction of compressive strength of eco-friendly geopolymer concrete;Environmental Science and Pollution Research;2024-06-07

2. Prediction of compressive strength of nano-silica modified engineering cementitious composites exposed to high temperatures using hybrid deep learning models;Expert Systems with Applications;2024-05

3. A failure thickness prediction model for concrete exposed to external sulfate attack;Construction and Building Materials;2024-02

4. Experimental study on the rheological property of cement paste with fly ash and brick powder;Powder Technology;2023-08

5. Machine Learning Prediction of Residual Mechanical Strength of Hybrid-Fiber-Reinforced Self-consolidating Concrete Exposed to Elevated Temperature;Fire Technology;2023-07-05

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