Predicting compressive strength of cement-stabilized earth blocks using machine learning models incorporating cement content, ultrasonic pulse velocity, and electrical resistivity
Author:
Affiliation:
1. Department of Civil Engineering, Faculty of Engineering, University of Jaffna, Kilinochchi, Sri Lanka
2. Department of Computer Engineering, Faculty of Engineering, University of Jaffna, Kilinochchi, SriLanka
Publisher
Informa UK Limited
Subject
General Physics and Astronomy,Mechanical Engineering,Mechanics of Materials,General Materials Science
Link
https://www.tandfonline.com/doi/pdf/10.1080/10589759.2023.2240940
Reference67 articles.
1. Quarry dust as river sand replacement in cement masonry blocks: Effect on mechanical and durability characteristics
2. Thermal comfort analysis of fired-clay brick, cement-sand block and cement stabilized earth block masonry house models
3. Comparison of strength and durability properties between earth-cement blocks and cement–sand blocks
4. Mesh type seismic retrofitting for masonry structures: critical issues and possible strategies
5. Prediction of characteristics of cement stabilized earth blocks using non-destructive testing: Ultrasonic pulse velocity and electrical resistivity
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