This study used machine learning methods to predict the water absorption (WA) of cement-
based material (CBM) containing eggshell and glass powder as sand and cement …

The effectiveness of cementitious composites in an aggressive environment is the primary
issue since their performance deteriorates when exposed to harmful elements. Also, to …

The standard approach for testing ordinary concrete compressive strength (CS) is to cast
samples and test them after different curing times. However, testing adds cost and time to …

Cementitious composites' performance degrades in extreme conditions, making it more
important to enhance its resilience. To further the adaptability of eco-friendly construction …

The ultrasonic pulse velocity (UPV) technique, which is an efficient technique for concrete
quality evaluation, can be affected by several factors. Many studies have proposed …

The construction sector has been under growing public attention recently as one of the
leading causes of climate change and its detrimental effects on local communities. In this …

The use of Portland cement is a major source of carbon dioxide emissions, causing
considerable environmental pollution worldwide. Therefore, reducing carbon emissions in …

Herein, we conducted a comprehensive statistical assessment of the ultrasonic pulse
velocity (UPV) method's effectiveness in predicting concrete strength under diverse …

Assessment of structural health in buildings and infrastructure is critical for ensuring safety
and long-term durability. This paper presents a novel approach using supervised machine …

This study explores nine machine learning (ML) methods, including linear, non-linear and
ensemble learning models, using nine concrete parameters as characteristic variables …