Abstract: Safe physical human-robot collaboration is possible with soft robots due to their inherent compliance and low inertia. Soft bodies inherently possess passive compliance, providing ...

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 ...

The final, formatted version of the article will be published soon. The construction sector is one of the most significant contributors to global environmental impacts, particularly due to its high ...

A new study demonstrates how near-surface-mounted (NSM) reinforcement can effectively mitigate the shear loss caused by vertical holes in concrete beams, providing safer and more flexible design ...