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Hybrid nonlinear regression model versus MARS, MEP, and ANN to evaluate the effect of the size and content of waste tire rubber on the compressive strength of concrete

Autor: Dilshad Kakasor Ismael Jaf, Aso Abdalla, Ahmed Salih Mohammed, Payam Ismael Abdulrahman, Rawaz Kurda, Azad A. Mohammed

Publikováno v: Heliyon, Vol 10, Iss 4, Pp e25997- (2024)

Tire rubber waste is globally accumulated every year. Therefore, a solution to this problem should be found since, if landfilled, it is not biodegradable and causes environmental issues. One of the most effective ways is recycling those wastes or usi

Externí odkaz: https://doaj.org/article/3fc56e1de14941aa982e76f2ebfcc85c

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Hybrid MARS-, MEP-, and ANN-based prediction for modeling the compressive strength of cement mortar with various sand size and clay mineral metakaolin content

Autor: Aso Abdalla, Ahmed Salih Mohammed

Publikováno v: Archives of Civil and Mechanical Engineering. 22

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ad3d01b47e7f140bab99c4ebe29caeb3
https://doi.org/10.1007/s43452-022-00519-0

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Implementation of multi-expression programming (MEP), artificial neural network (ANN), and M5P-tree to forecast the compression strength cement-based mortar modified by calcium hydroxide at different mix proportions and curing ages

Autor: Aso Abdalla, Ahmed Salih

Publikováno v: Innovative Infrastructure Solutions. 7

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6e594a5562f4aa53a132cb5490e67d3e
https://doi.org/10.1007/s41062-022-00761-8

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Implementing The Multi Expression Programming, Nonlinear Regression, Artificial Neural Network, and M5P-Tree Models to Predict The Long-Term of Compressive Strength of Cement- Mortar Modified With Fly Ash

Autor: Aso Abdalla, Ahmed Mohammed

In the recent decade, supplementary cementing ingredients have become an essential part of various strength ranges of concrete and cement-mortar mix design. Examples are natural materials, by-products, industrial wastes, and materials that require le

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e32428c1bdfc28bf548a165ece9cbd30
https://doi.org/10.21203/rs.3.rs-1123704/v1

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Microstructure and chemical characterizations with soft computing models to evaluate the influence of calcium oxide and silicon dioxide in the fly ash and cement kiln dust on the compressive strength of cement mortar

Autor: Aso Abdalla, Ahmed Salih

Publikováno v: Resources, Conservation & Recycling Advances. 15:200090

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4e3de8d76884a69db2e4397eadccbe0f
https://doi.org/10.1016/j.rcradv.2022.200090

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