In the context where accidents and fatalities in the construction industry remain persistently
high, the assessment and early warning of construction risks become critically imperative …

Over recent decades, the implementation of Artificial Intelligence (AI) across various
industrial fields from automation to cybersecurity has been transformative. Whilst the …

The structural deterioration knowledge in existing mathematical physics models offers a
unique opportunity to develop data-driven, physics-informed machine learning (ML) for …

Bridges typically undergo regular inspections to assess their structural conditions. However,
relying solely on numerical data overlooks valuable information from other data types …

Effective maintenance planning for bridges is crucial for maintaining their performance,
safety, and minimizing maintenance costs. Timely implementation of interventions can …

Pipelines are critical arteries in the oil and gas industry and require massive capital
investment to safely construct networks that transport hydrocarbons across diverse …

The increasing availability of bridge data from the National Bridge Inventory (NBI) offers a
great opportunity to perform predictive analytics (such as bridge deterioration prediction) …

In bridge maintenance, assessing structural performance requires adherence to rules
outlined in safety and regulatory standards which can be effectively and formally …

Bridge pile capacity is a vital criterion used to assure the durability and stability of a bridge
pile foundation. In fact, reliably predicting the pile capacity plays a significant role in …

Existing bridges typically undergo inspections every few years, generating a considerable
amount of inspection data and posing challenges for assessing their condition. This study …