Assessment of compressive characteristics of coir fiber-reinforced concrete modified with wheat straw ash using predictive modeling
Researchers have developed an explainable machine learning framework to predict the compressive strength of sustainable concrete made with wheat straw ash and coir fiber. The study demonstrates that models like LightGBM can accurately optimize construction material mixtures, reducing the need for physical testing.
Why it matters
Advances the development of environmentally friendly construction materials through data-driven optimization, potentially lowering the carbon footprint of the building industry.
Scientific Reports ( 2026 ) Cite this article
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