Engineered geopolymer composite (EGC) is considered an excellent innovation in imparting
the high ductility to the concrete composites with 100% eco-friendly and sustainable …

This paper investigates the application of machine learning to predict the properties of
pervious concrete. Traditional methods like lab tests and formulas have limitations. Machine …

Limited test data hinder the accurate prediction of mechanical strength and permeability of
permeable cement-stabilized base materials (PCBM). Here we show a kriging-based …

Ready-mixed concrete generates large quantities of concrete waste during production and
transportation. The reuse of concrete recycled waste slurry in mortar and concrete is widely …

The main objective of this work is to improve the compressive strength of concrete, specially
in sustainable construction is to develop more precise predictive modeling techniques. The …

This study proposes a new approach to construct predictive formulas for the permeability of
Pervious Concrete (PC), which depends on PC mixture and porosity. To achieve this, a …

This study investigates using machine learning techniques to predict the compressive
strength of cement-stabilized earth blocks (CSEBs). CSEBs are a promising sustainable …

Ultra-high performance Concrete (UHPC) CSS is determined by the kind, characteristics,
and composition of its material ingredients. Using intelligent techniques, such as the ANN, to …

Sažetak U radu je provedena kauzalna analiza učinka ekološki održivih mješavina s
cementom na tlačnu čvrstoću betona i smanjenje emisije CO 2. Primijenjen je Bayesov …

Developing innovative numerical simulation strategies as physically driven models to assist
in the design of high-performance permeable cement-stabilized aggregate base materials …