Utilizing an enhanced machine learning approach for geopolymer concrete analysis-Reference-Cited by-同舟云学术

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Utilizing an enhanced machine learning approach for geopolymer concrete analysis

Published:2024-04-16 Issue: Volume: Page:1-28
ISSN:1058-9759
Container-title:Nondestructive Testing and Evaluation
language:en
Short-container-title:Nondestructive Testing and Evaluation

Author:

Diksha ¹,Dev Nirendra¹,Goyal Pradeep Kumar¹

Affiliation:

1. Department of Civil Engineering, Delhi Technological University, Delhi, India

Funder

no funding associated

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10589759.2024.2334434

Reference37 articles.

1. Shayan A. 2016. Specification of geopolymer concrete: general guide. Available from: https://trid.trb.org/view/1435874

2. Glukhovsky VD. Soil silicates (Gruntosilikaty). USSR Kiev: Budivelnik Publisher; 1959.

3. Geopolymers and geopolymeric materials

4. Introduction: sustainable development and concrete technology;Malhotra VM;Concr Int,2002

5. Microstructure of polymeric concrete incorporating fly ash & silica fume;Nuruddin FCS;Can J Civ Eng,2010

Cited by 1 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. Hybrid machine learning models to predict the shear strength of discontinuities with different joint wall compressive strength;Nondestructive Testing and Evaluation;2024-07-22

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