Concrete is one of the most widely used materials in various civil engineering applications.
Its global production rate is increasing to meet demand. Mechanical properties of concrete …

Abstract Machine learning (ML) has become the most successful branch of artificial
intelligence (AI). It provides a unique opportunity to make structural engineering more …

This study aims to implement a hybrid ensemble surrogate machine learning technique in
predicting the compressive strength (CS) of concrete, an important parameter used for …

Accurate prediction of the mechanical properties of concrete has been a concern since
these properties are often required by design codes. The emergence of new concrete …

Despite the extensive use of mortars materials in constructions over the last decades, there
is not yet a reliable and robust method, available in the literature, which can estimate its …

The application of artificial neural networks in map** the mechanical characteristics of the
cement-based materials is underlined in previous investigations. However, this machine …

Achieving a reliable model for predicting the compressive strength (CS) of concrete can
save in time, energy, and cost and also provide information about scheduling for …

The advantages of using Metakaolin (MK) as a supplementary cementitious material have
led this highly active pozzolan to be widely used in the concrete industry. Awareness of the …

Geopolymer concrete (GPC) has been used as a partial replacement of Portland cement
concrete (PCC) in various construction applications. In this paper, two artificial intelligence …

The use of silica fume as a partial replacement for Ordinary Portland Cement provides a
wide variety of benefits such as reduced pressure on natural resources, reduced CO 2 …