In this paper, we delve into the evolving landscape of vibration-based structural damage
detection (SDD) methodologies, emphasizing the pivotal role civil structures play in society's …

Infrastructure projects often encounter performance challenges, such as cost overruns and
safety issues, due to complex risk interactions and systemic risks. Existing literature treats …

In the current era, time-series data is widely used in different domains. In Structural Health
Monitoring (SHM), the utilization of time-series data is also extensive. However, traditional …

This paper reports a two-stage damage detection method for effectively identifying multi-
damage in composite plate structures. The first stage focuses on detecting damage locations …

In this paper, a damage detection strategy for beam-type structures based on frequency
response functions (FRFs) is presented. Five aluminum beams of equal nominal dimensions …

Bridges are essential to infrastructure and transportation networks, but face challenges from
heavier traffic, higher speeds, and modifications like busway integration, leading to potential …

This work investigates the effectiveness of using convolutional neural networks (CNNs) and
instantaneous displacement measurements for damage identification in beams. The study …

Damage detection of a complex spatial frame structure with semi-rigid joints is a challenging
task. Most existing damage detection methods consider the joint as rigid and the nonuniform …

With the rapid development of computer science and the need for structural safety
assessment, structural health monitoring (SHM) systems are widely used in structures. SHM …

In this study, the natural frequencies of Functional Graded Materials (FGM) plates are
predicted using Artificial Neural Network (ANN). A model based on Third-order Shear …