Structural Health Monitoring (SHM) of civil structures has been constantly evolving with
novel methods, advancements in data science, and more accessible technology to address …

Condition assessment of civil engineering structures has been an active research area due
to growing concerns over the safety of aged as well as new civil structures. Utilization of …

Crack detection is vital to maintain the structural safety of in-service bridges, which is an
increasing demand in the industrial community. The deep learning-based crack detection is …

The advances in data science in the last few decades have benefitted many other fields,
including Structural Health Monitoring (SHM). Artificial Intelligence (AI), such as Machine …

There have been major advances in the field of data science in the last few decades, and
these have been utilized for different engineering disciplines and applications. Artificial …

Generative adversarial networks (GANs) have recently attracted attention owing to their
impressive ability in generating high-quality and novel synthetic datasets such as signals …

Condition assessment of civil engineering infrastructure systems is of growing importance as
they face aging and degradation due to both human-made activities and environmental …

Across non-destructive testing (NDT) and structural health monitoring (SHM), accurate
knowledge of the systems' reliability for detecting defects, such as Probability of Detection …

To tackle the challenges of performing early fault warning and improving the prediction
accuracy for the remaining useful life (RUL) of rolling bearings, this paper proposes a …