Chapter 9: Machine learning applications for developing sustainable construction materials
Hossein Adel, Majid Ilchi Ghazaan, and Asghar Habibnejad Korayem
School of Civil Engineering, Iran University of Science and Technology, Tehran, Iran
Abstract
Consuming a huge proportion of raw materials and resources, the construction industry could significantly affect the environment. In addition, the production of cement, the most widely used construction material in the world, causes CO2 greenhouse gas emissions to a serious environmental challenge. The aforementioned problems have triggered researchers to modify the traditional construction materials in parallel to produce the new generation of high-performance materials. In this way, ...
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