Structural damage identification approaches can be divided into two categories, ie data-
driven approaches via statistical pattern recognition and model-based approaches via finite …

Detecting damage at an early stage can avoid a serious catastrophic failure of structures
due to inevitable cause, such as fatigue, environmental corrosion, and natural disasters …

The dynamic interaction between trains, tracks, and bridges is a critical consideration in
railway engineering, particularly for designing efficient railway bridges. This interaction …

With the deterioration of bridge performance and ever-increasing amounts of traffic, bridge
safety is becoming a concern for the engineering community. A method that can assess a …

Several machine learning algorithms have been proposed to detect damage in civil
structures that implicitly learn changes in dynamic characteristics of structures due to varying …

A robust to varying Operating Conditions (OCs) vibration-data-based damage precise
localization method is postulated. The method is, for the first time, capable of providing …

With the deterioration of the bridge performance and ever-increasing amount of traffic, the
bridge safety is becoming a concern for engineering community. A method that can assess …

In the whole life process of the steel bridge, its components are slightly damaged under the
long-term adverse action of steel property deterioration, environmental corrosion, dynamic …

The problem of vibration–based robust damage precise localization under varying
environmental and operating conditions (EOCs) is addressed through the proper formulation …