IEEE

Predicting the Compressive Strength of Recycled Concrete Using Ensemble Learning Model

Abstract: This research proposes a stacking machine learning method to accurately predict the compressive strength of recycled concrete. The model integrates eXtreme Gradient Boosting (XGBoost), Extra ...
IEEE

Experimental research on mechanical properties of recycled aggregate concrete

Abstract: Through a series of experiments, used construction rubbish as recycled aggregate, the compressive strength and elastic modulus of recycled concrete specifically were studied, which recycled ...
Business Wire

Packaging Corporation of America Announces Reconfiguration of Wallula, WA Containerboard Mill

LAKE FOREST, Ill.--(BUSINESS WIRE)--Packaging Corporation of America (NYSE: PKG) today announced that it will permanently shut down the No. 2 paper machine (W2) and kraft pulping facilities at its ...
SciELO

Precision crack analysis in concrete structures using CNN, SVM, and KNN: a machine learning approach

Cracks in structures are discontinuities that occur due to stress, material degradation, or design flaws, compromising structural integrity. Detecting and analyzing cracks is crucial for assessing ...