Machine learning and RSM-CCD analysis of green concrete made from waste water plastic bottle caps: Towards performance and optimization-Reference-Cited by-同舟云学术

Machine learning and RSM-CCD analysis of green concrete made from waste water plastic bottle caps: Towards performance and optimization

Published:2023-08-07 Issue: Volume: Page:1-9
ISSN:1537-6494
Container-title:Mechanics of Advanced Materials and Structures
language:en
Short-container-title:Mechanics of Advanced Materials and Structures

Author:

Mohammed Nayeemuddin¹,Asiz Andi¹,Khasawneh Mohammad Ali²^ORCID,Mewada Hiren³,Sultana Tasneem⁴

Affiliation:

1. Civil Engineering Department, Prince Mohammad Bin Fahd University, Al Khobar, Kingdom of Saudi Arabia

2. Civil Engineering Department, Prince Mohammad Bin Fahd University, Al Khobar, Kingdom of Saudi Arabia (On leave from Jordan University of Science and Technology, Irbid, Jordan)

3. Electrical Engineering Department, Prince Mohammad Bin Fahd University, Al Khobar, Kingdom of Saudi Arabia

4. Artificial Intelligence and Machine Learning, Godutai Engineering College for Women, Sharnbasva University, Kalaburagi, India

Publisher

Informa UK Limited

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science,General Mathematics,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15376494.2023.2238220

Reference62 articles.

1. Experimental study on flexural fatigue behavior of self-compacting concrete with waste tire rubber

2. Rapid repair of partially damaged GFRP-reinforced recycled aggregate concrete columns using FRP composites

3. Improving the brittle behavior of high strength concrete using banana and palm leaf sheath fibers

4. EPRA International Journal of Multidisciplinary Research (IJMR)

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