Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Muhammad Ghulam Qadir"'
Autor:
Muhammad Nasir Amin, Afaq Ahmad, Khan Shahzada, Kaffayatullah Khan, Fazal E. Jalal, Muhammad Ghulam Qadir
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-21 (2022)
Abstract In this study, researchers examined the effect of replacing a high-volume of cement with sugarcane bagasse ash (BA) and silica fume (SF). In addition to the control, three binary and three ternary blends of concrete containing different perc
Externí odkaz:
https://doaj.org/article/156ce88674894512b03b1aa34c2b6eca
Autor:
Mohammed Najeeb Al-Hashem, Muhammad Nasir Amin, Ali Ajwad, Muhammad Afzal, Kaffayatullah Khan, Muhammad Iftikhar Faraz, Muhammad Ghulam Qadir, Hayat Khan
Publikováno v:
Materials, Vol 15, Iss 22, p 7868 (2022)
Due to the increasing prices of cement and its harmful effect on the environment, the use of cement has become highly unsustainable in concrete. There is a considerable need for promoting the use of cement replacement materials. This study investigat
Externí odkaz:
https://doaj.org/article/6eebf48816174698b19e232f9cde59a5
Autor:
Muhammad Nasir Amin, Mohammed Najeeb Al-Hashem, Ayaz Ahmad, Kaffayatullah Khan, Waqas Ahmad, Muhammad Ghulam Qadir, Muhammad Imran, Qasem M. S. Al-Ahmad
Publikováno v:
Materials, Vol 15, Iss 21, p 7800 (2022)
This research examined machine learning (ML) techniques for predicting the compressive strength (CS) of self-compacting concrete (SCC). Multilayer perceptron (MLP), bagging regressor (BR), and support vector machine (SVM) were utilized for analysis.
Externí odkaz:
https://doaj.org/article/b58b843fd8db4ffd99f6907277ec20e3
Autor:
Mohammed Najeeb Al-Hashem, Muhammad Nasir Amin, Waqas Ahmad, Kaffayatullah Khan, Ayaz Ahmad, Saqib Ehsan, Qasem M. S. Al-Ahmad, Muhammad Ghulam Qadir
Publikováno v:
Materials, Vol 15, Iss 19, p 6928 (2022)
Estimating concrete properties using soft computing techniques has been shown to be a time and cost-efficient method in the construction industry. Thus, for the prediction of steel fiber-reinforced concrete (SFRC) strength under compressive and flexu
Externí odkaz:
https://doaj.org/article/0bdbbe5a1da0414588338ea730c71968
Autor:
Muhammad Nasir Amin, Muhammad Raheel, Mudassir Iqbal, Kaffayatullah Khan, Muhammad Ghulam Qadir, Fazal E. Jalal, Anas Abdulalim Alabdullah, Ali Ajwad, Majdi Adel Al-Faiad, Abdullah Mohammad Abu-Arab
Publikováno v:
Materials, Vol 15, Iss 19, p 6959 (2022)
The useful life of a concrete structure is highly dependent upon its durability, which enables it to withstand the harsh environmental conditions. Resistance of a concrete specimen to rapid chloride ion penetration (RCP) is one of the tests to indire
Externí odkaz:
https://doaj.org/article/81186d1df2184904bd0d04c27b886404
Autor:
Muhammad Nasir Amin, Izaz Ahmad, Asim Abbas, Kaffayatullah Khan, Muhammad Ghulam Qadir, Mudassir Iqbal, Abdullah Mohammad Abu-Arab, Anas Abdulalim Alabdullah
Publikováno v:
Materials, Vol 15, Iss 17, p 5908 (2022)
This study aimed to determine how radiation attenuation would change when the thickness, density, and compressive strength of clay bricks, modified with partial replacement of clay by fly ash, iron slag, and wood ash. To conduct this investigation, f
Externí odkaz:
https://doaj.org/article/4af93fd915e548c2b400285f70afffb5
Autor:
Muhammad Nasir Amin, Mudassir Iqbal, Fadi Althoey, Kaffayatullah Khan, Muhammad Iftikhar Faraz, Muhammad Ghulam Qadir, Anas Abdulalim Alabdullah, Ali Ajwad
Publikováno v:
Polymers, Vol 14, Iss 15, p 2992 (2022)
In recent times, the use of fibre-reinforced plastic (FRP) has increased in reinforcing concrete structures. The bond strength of FRP rebars is one of the most significant parameters for characterising the overall efficacy of the concrete structures
Externí odkaz:
https://doaj.org/article/2bb91747285148768b344f222884d3d1
Autor:
Muhammad Nasir Amin, Kaffayatullah Khan, Waqas Ahmad, Muhammad Faisal Javed, Hisham Jahangir Qureshi, Muhammad Umair Saleem, Muhammad Ghulam Qadir, Muhammad Iftikhar Faraz
Publikováno v:
Polymers, Vol 14, Iss 10, p 2128 (2022)
The application of artificial intelligence approaches like machine learning (ML) to forecast material properties is an effective strategy to reduce multiple trials during experimentation. This study performed ML modeling on 481 mixes of geopolymer co
Externí odkaz:
https://doaj.org/article/0896a1e4b3c641ddabe81262c6556ec6
Autor:
Muhammad Nasir Amin, Kaffayatullah Khan, Muhammad Faisal Javed, Fahid Aslam, Muhammad Ghulam Qadir, Muhammad Iftikhar Faraz
Publikováno v:
Materials, Vol 15, Iss 10, p 3478 (2022)
The emission of greenhouse gases and natural-resource depletion caused by the production of ordinary Portland cement (OPC) have a detrimental effect on the environment. Thus, an alternative means is required to produce eco-friendly concrete such as g
Externí odkaz:
https://doaj.org/article/b2d9bdafbade4bab8c279b973239232f
Autor:
Muhammad Nasir Amin, Kaffayatullah Khan, Muhammad Faisal Javed, Dina Yehia Zakaria Ewais, Muhammad Ghulam Qadir, Muhammad Iftikhar Faraz, Mir Waqas Alam, Anas Abdulalim Alabdullah, Muhammad Imran
Publikováno v:
Materials, Vol 15, Iss 11, p 3808 (2022)
Rice husk ash (RHA) is a significant pollutant produced by agricultural sectors that cause a malignant outcome to the environment. To encourage the re-use of RHA, this work used multi expression programming (MEP) to construct an empirical model for f
Externí odkaz:
https://doaj.org/article/0f50d0252d8a47738380f394cf548033