Structural vibration identification is an important task in civil engineering that is based on
processing measured data from structural monitoring. However, predicting the response at …

A deep learning method is proposed to identify damages in jacket offshore platforms, which
integrates the random decrement technique (RDT) and Transformer neural network. RDT is …

The research on the modal characteristic analysis of long-span bridges is crucial for
vibration analysis and control, yet literature regarding the modal characteristics of long-span …

Due to repetitive harsh environments and ever-increasing traffic on long-span suspension
bridges, damages such as corrosion may occur in hangers, eventually necessitating their …

In order to improve the identification accuracy of damage detection and evaluation based on
the vibration response, this paper presents a structural damage identification method based …

Abstract Structure health monitoring is critical for timely detection of any changes that might
impact the overall safety and serviceability of the structure and for taking preventive actions …

Structural damage detection of high-rise buildings is by far not reached because of their
complexity. In this study, an artificial neural network (ANN) method-based two-step approach …

Identifying the parameters of multispan rigid frames is challenging because of their complex
structures and large computational workloads. This paper presents a stiffness separation …

Detecting damages in large‐scale space trusses poses a significant challenge due to
numerous elements that can generate disturbances with relative ease. Based on changes in …