وثيقة
Prediction of Strength of Plain and Blended Cement Concretes Cured Under Hot Weather Using Quadratic Regression and ANN Tools
وكيل مرتبط
Gazder, Uneb , مؤلف مشارك
Khan, Muhammad Umar, مؤلف مشارك
Rasul, Mehboob , مؤلف مشارك
Maslehuddin, Mohammed , مؤلف مشارك
Al-Amoudi, Omar S. Baghabra, مؤلف مشارك
عنوان الدورية
Arabian Journal for Science and Engineering
العدد
Volume 47, pages 12697–12709, (2022)
دولة النشر
Germany
مكان النشر
SpringerLink
الناشر
Springer Nature
تاريخ النشر
2022
اللغة
الأنجليزية
الموضوع
الملخص الإنجليزي
Abstract:
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 impact of: (1) casting temperature between the range of 25–45 °C, (2) curing regimes, namely water ponding, burlap covering or curing compound, and (3) pozzolanic materials, namely fly ash, very fine fly ash, silica fume, natural pozzolan and ground granulated blast furnace slag on the long-term strength development of concrete have been investigated. Prediction models correlating the investigated variables and concrete strength were developed utilizing quadratic regression models and artificial neural networks (ANNs). ANN models were able to predict the compressive strength of concrete with higher accuracy than that of regression model. This model is expected to be applied for designing concrete of higher strengths under hot weather conditions.
المجموعة
المعرف
https://digitalrepository.uob.edu.bh/id/77331c71-60f1-4ebe-8fa3-7a03dd4d4222
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