Considering on the current difficulties of predicting the compressive strength of recycled
aggregate concrete, this paper proposes a prediction model based on deep learning theory …

Despite the extensive use of mortar materials in constructions over the last decades, there is
not yet a robust quantitative method, available in the literature, which can reliably predict …

Many studies predict the compressive strength of conventional concrete from hardened
characteristics; however, in the case of self-compacting concrete, these investigations are …

Concrete is the most used construction material for a century. After casting and setting,
concrete shows various dimensional physical and mechanical evolutions, of which drying. It …

Cement concrete is widely used throughout the world as a key construction material in civil
engineering projects. Being a complex compound comprising of cement, sand, coarse …

Purpose Utilization of sustainable materials is a global demand in the construction industry.
Hence, this study aims to integrate waste management and artificial intelligence by …

Numerous studies have been performed on the behavior of pile foundations in cold regions.
This study first attempted to employ artificial neural networks (ANN) to predict pile-bearing …

Cold-formed steel channels are made with staggered courses of slots for reduced thermal
conductivity and improved energy efficiency of cold-formed steel buildings. The reduced …

Self-consolidating concrete is considered as one of the greatest developments in concrete
industry. It has several advantages over conventional concrete such as minimized voids …

This article proposes an optimized quantitative model for proportioning concrete mixtures
based on cement content, water-cement ratio and percentage of recycled aggregate …