@misc{10481/107572,
year = {2025},
month = {9},
url = {https://hdl.handle.net/10481/107572},
abstract = {The construction industry is a major contributor to global environmental impacts, particularly through the production and use of cement-based materials. In response to this
challenge, this study provides a comprehensive synthesis of recent advances in the integration of Life-Cycle Assessment (LCA) and Artificial Neural Networks (ANNs) for
optimizing cementitious composites containing Supplementary Cementitious Materials
(SCMs). A total of 14 case studies specifically addressing this topic were identified, reviewed, and analyzed, spanning various binder compositions, ANN architectures, and
LCA frameworks. The findings highlight how hybrid ANN–LCA systems can accurately
predict mechanical performance while minimizing environmental burdens, supporting
the formulation of low-carbon, high-performance cementitious composites. The diverse
SCMs explored, including fly ash, slag, silica fume, waste glass powder, and rice husk ash,
demonstrate significant potential for reducing CO2 emissions, energy consumption, and
raw material depletion. Furthermore, the systematic comparative matrix developed in this
work offers a valuable reference for researchers and practitioners aiming to implement
intelligent, eco-efficient mix designs. Overall, this study contributes to advancing digital
sustainability tools and reinforces the viability of ANN–LCA integration as a scalable
decision-support framework for green construction practices.},
publisher = {MDPI},
keywords = {Artificial Neural Networks},
keywords = {cement sustainability},
keywords = {Life-cycle assessment},
title = {Integrating Life-Cycle Assessment (LCA) and Artificial Neural Networks (ANNs) for Optimizing the Inclusion of Supplementary Cementitious Materials (SCMs) in Eco-Friendly Cementitious Composites: A Literature Review},
doi = {10.3390/ma18184307},
author = {Arvizu Montes, Armando and Guerrero Bustamante, Oswaldo and Polo Mendoza, Rodrigo and Martínez-Echevarría Romero, María José},
}