Among the many sustainability challenges in the construction industry, those related to the
application of concrete and its components are the most critical. Particularly, the production …

Accurate service-life prediction of structures is vital for taking appropriate measures in a time-
and cost-effective manner. However, the conventional prediction models rely on simplified …

Chloride ingression is the main reason for causing durability degradation of reinforced
concrete (RC) structures. In this study, the distinguishing features of artificial neural network …

Chloride diffusion coefficient is an important durability indicator in durability design of
concrete structure according to performance-based approach. However, this indicator is …

This research used gene expression programming (GEP) and multi expression
programming (MEP) to determine the compressive strength (CS) of alkali-activated material …

Accurate corrosion assessment of reinforced concrete (RC) structures is expected to
improve the service life and durability of structures. However, traditional evaluation methods …

Porosity is an important indicator of the durability performance of concrete. The objective of
this study is to apply machine learning methods to empirically predict the porosity of high …

By conducting an analysis of chloride migration in concrete, it is possible to enhance the
durability of concrete structures and mitigate the risk of corrosion. In addition, the utilization …

Alkali-activation is one of the most promising routes for utilisation of versatile aluminosilicate
resources. However, the variations of chemical compositions in these resources have …

Reliable carbonation depth prediction of concrete structures is crucial for optimizing their
design and maintenance. The challenge of conventional carbonation prediction models is …