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

Artificial intelligence (AI) is proving to be an efficient alternative approach to classical
modeling techniques. AI refers to the branch of computer science that develops machines …

Structural health monitoring (SHM) techniques have been widely used in long-span bridges.
However, due to limitations of computational ability and data analysis methods, the …

Currently, visual inspection is performed in order to evaluate damage in structures. This
approach is affected by the constraints of time and the availability of qualified personnel …

Crack is the earliest indication of structural deterioration. It is necessary to examine the
structural elements as cracks can affect the durability and safety of civil infrastructures …

Numerical solutions using machine learning have seen drastic development in recent years,
largely due to the advancement in Artificial Intelligence (AI) chips, especially the advent of …

The basic premise of vibration-based structural damage detection is that when there are
alterations in the physical characteristics of a structure, there will also be changes in its …

Shear failures exhibit a brittle nature, often resulting in catastrophic collapse without
sufficient advance warning or the capacity to redistribute internal stresses. Consequently …

Beam–columns are designed to withstand the concurrent action of both axial and bending
stresses. Therefore, when assessing the structural health of an in situ beam–column, both of …

Concrete typically emerges as the superior choice in terms of strength, adaptability,
longevity, noise reduction, energy efficiency, and it additionally possesses the advantage of …