Artificial Intelligence (AI), machine learning (ML), and deep learning (DL) are emerging
techniques capable of delivering elegant and affordable solutions which can surpass those …

Soft computing (SC), due to its high abilities to solve the complex problems with uncertainty
and multiple parameters, has been widely investigated and used, especially in structural …

Thermal conductivity, k, is an important property of concrete, and it influences the design and
energy-efficiency of many concrete-based structures. Due to the requirement of …

Growing concerns on energy consumption of buildings by heating and cooling applications
have led to a demand for improved insulating performances of building materials. The …

The porous structure of manufactured structural lightweight aggregate (LWA) is responsible
for differences in mechanical, durability, and thermal performance of lightweight concrete …

Approaches based on effective medium theories (EMTs) have been widely applied to
estimate the thermal properties of cement-based materials in multi scales, but some …

The main objective of the current study is the recycle of end-of-life tires as fine aggregate in
the production of fly ash–based geopolymer composites. Moreover, it aimed to improve …

The present study valorizes cashew nutshell ash (CNA) and uses it at 5–20 wt.% of cement
for concrete production. The concrete grades of 25–40 MPa were used as mix design …

This research utilized machine learning (ML) techniques to forecast the thermal conductivity
(TC) of cement-based grouts for borehole heat exchangers. Nine commonly used ML …

A projection pursuit regression (PPR) model was proposed in this paper to predict the
thermal conductivity of concrete (TCC) under variable temperatures in cold regions. The …