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 …

Most civil infrastructure worldwide is currently past its design life. This situation has
precipitated the need for more systematic inspections and continual monitoring of …

Recent advances in sensor technologies and data acquisition systems opened up the era of
big data in the field of structural health monitoring (SHM). Data-driven methods based on …

Time series analysis and novelty detection are effective and promising methods for data-
driven structural health monitoring (SHM) based on the statistical pattern recognition …

Structural health monitoring (SHM) technology for surveillance and evaluation of existing
and newly built long-span bridges has been widely developed, and the significance of the …

Damage diagnosis has been a challenging inverse problem in structural health monitoring.
The main difficulty is characterizing the unknown relation between the measurements and …

Feature extraction by time-series analysis and decision making through distance-based
methods are powerful and efficient statistical pattern recognition techniques for data-driven …

The early discovery of factors that compromise a civil infrastructure's structural integrity
allows for safety monitoring, timely prevention, and a prompt remedy to the discovered …

Rapid advances in infrastructure health monitoring and sensing technologies allow the
monitoring of infrastructure assets continuously and in real-time throughout their life span …

This study developed an Industry Foundation Classes (IFC) building information modeling
(BIM) based framework for bridge health monitoring using behavioral prediction under …