Prediction of Strength of Plain and Blended Cement Concretes Cured Under Hot Weather Using Quadratic Regression and ANN Tools

Concreting and curing under hot climatic conditions pose adverse effects on the characteristics of concrete. These challenges have prompted cement and concrete technologists to incorporate pozzolanic materials for the dual advantages from technical and sustainable perspectives. In this research, the...

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Veröffentlicht in:	Arabian journal for science and engineering (2011) 2022-10, Vol.47 (10), p.12697-12709
Hauptverfasser:	Nasir, Muhammad, Gazder, Uneb, Khan, Muhammad Umar, Rasul, Mehboob, Maslehuddin, Mohammed, Al-Amoudi, Omar S. Baghabra
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Compressive strength Concrete properties Curing Engineering Fly ash GGBS Granulation Hot weather Humanities and Social Sciences multidisciplinary Pozzolans Prediction models Regression models Research Article-Civil Engineering Science Silica fume Weather
Online-Zugang:	Volltext
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