چکیده مقاله
This paper introduces an innovative data driven approach to designing green concrete by minimizing cement content through the optimization of multi component blends A comprehensive dataset of 2,332 experimental concrete mix designs incorporating supplementary cementitious materials SCMs and nanomaterials was compiled from 31 scientific publications A hybrid machine learning model combining Artificial Neural Networks ANN , Genetic Algorithms GA , and XGBoost was developed to predict compressive strength and identify optimal mix compositions To address the challenge of incomplete data, a binary feature masking normalization strategy was implemented, allowing the model to process heterogeneous datasets with improved accuracy and robustness The proposed framework successfully identifies sustainable concrete mixes that reduce cement consumption by up to 40% without compromising mechanical performance Hybrid combinations of SCMs such as fly ash, silica fume, and metakaolin, alongside nanomaterials like carbon nanotubes and nanoclay, demonstrated synergistic effects in enhancing strength while lowering environmental impact The results confirm that intelligent integration of AI techniques with material science can significantly advance the development of high performance, low carbon concrete, offering a scalable solution for the construction industry's sustainability goals
کلیدواژهها
نویسندگان
Ali Reza Shirazi
MSc Student, Faculty of Interdisciplinary Science and Technology, Tarbiat Modares University, Tehran, Iran
Ali A. Shakeri
MSc Student, Faculty of Interdisciplinary Science and Technology, Tarbiat Modares University, Tehran, Iran
Nikta Hasaninasab
MSc Student, Faculty of Interdisciplinary Science and Technology, Tarbiat Modares University, Tehran, Iran
Sadegh Dardaei
Assistant Professor, Faculty of Interdisciplinary Science and Technology, Tarbiat Modares University, Tehran, Iran
Fariborz M. Tehrani
Professor, Department of Civil & Geomatics Engineering, California State University, Fresno, USA
شیوه ارجاع
Shirazi, Ali Reza and Shakeri, Ali A. and Hasaninasab, Nikta and Dardaei, Sadegh and Tehrani, Fariborz M.,1404,Towards Green Concrete: A Data-Driven Machine Learning for Reducing Cement Content,14th International Congress on Civil Engineering,Tehran
ارائهشده در
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