Civil infrastructure (eg, buildings, roads, underground tunnels) could lose its expected
physical and functional conditions after years of operation. Timely and accurate inspection …

Conventional damage detection techniques are gradually being replaced by state-of-the-art
smart monitoring and decision-making solutions. Near real-time and online damage …

The role of data in building AI systems has recently been significantly magnified by the
emerging concept of data-centric AI (DCAI), which advocates a fundamental shift from model …

This paper presents a data-driven machine learning (ML) framework for predicting failure
mode and shear capacity of Ultra High Performance Concrete (UHPC) beams. To this end, a …

Condition monitoring of critical and expensive carbon fiber reinforced polymer (CFRP)
composite infrastructures is extremely essential task for uninterrupted operation and the …

Rapid development in structural health monitoring systems has led to the invention of
various sensing technologies. Nonetheless, difficulties in deploying and maintaining …

Structural health monitoring (SHM) involves the control and analysis of mechanical systems
to monitor the variation of geometric features of engineering structures. Damage processing …

Spent nuclear fuel (SNF) assemblies (FAs) contain high-level radioactive waste from
operation of nuclear power plants (NPPs). Their safe storage in dry casks is critical for …

Despite ongoing research efforts aimed at understanding the structural response of ultrahigh-
performance concrete (UHPC) beams, there are very limited provisions for structural design …

In this article, the elastic wave propagation phenomenon is applied as the basis for a system
designed to detect anomalies in the pre-tensioned connections of engineering structures. A …