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

The health monitoring system of a bridge is an important guarantee for the safe operation of
the bridge and has always been a research hotspot in the field of civil engineering. This …

Abstract Structural Health Monitoring (SHM) implementations on infrastructures, including
bridges, are currently experiencing a surge in popularity as the favoured solution for …

Damage detection and safety assessment play a prominent role in the integrity management
of bridge structures. Environmental and operational variability are the leading factors that …

In civil engineering structures, modal changes produced by environmental conditions,
especially temperature, can be equivalent to or greater than the ones produced by damage …

Bridges play an important role in modern transportation systems and road networks, and
hence it is essential to use various models based on visual inspection to detect and prevent …

Structural health monitoring (SHM) systems are used to analyze the health of infrastructures
such as bridges, using data from various types of sensors. While SHM systems consist of …

Vibration-based damage identification methods have proven to be effective in identifying
damage in various structures by employing modal parameters. This paper presents and …

This paper presents a method to identify the damages in frame structures with slender
beams. This method adjusts the parameters of the structure to match the analytical and the …

Long-span cable-supported bridges are flexible and prone to significant deformations under
temperature, wind, and vehicle loads. Such large deformations induce frequent longitudinal …