Performance and sustainable utilization analysis of molybdenum tailings sand in self-compacting concrete based on machine learning | Synapse
March 3, 2026
Performance and sustainable utilization analysis of molybdenum tailings sand in self-compacting concrete based on machine learning
Key Points
Molybdenum tailings show significant promise in enhancing the performance of self-compacting concrete, paving pathways for more sustainable construction materials.
Performance metrics indicate improvements over traditional materials, showcasing a potential 15% increase in compressive strength.
The study employs machine learning techniques to optimize the use of molybdenum tailings in concrete mixtures, resulting in effective formulations across varying conditions.
This analysis highlights sustainable material solutions that may reduce environmental impacts in construction, emphasizing the need for practical application.