In the past few years, intelligent structural damage identification algorithms based on
machine learning techniques have been developed and obtained considerable attentions …

Owing to ever-increasing complexity of engineering structures, develo** a methodology
for the early detection of defects has become crucial to ensure their long-term safety and …

New optimization algorithms have been increasingly developed in the course of the recent
years. The accuracy of identified results in optimization‐based damage detection methods …

As 3D sandwich panels have become prevalent in construction projects, develo**
structural damage detection approaches is of great significance to ensure their integrity. This …

In this paper, a novel approach to damage identification in structures using Particle Swarm
Optimization (PSO) combined with Artificial neural network (ANN) is proposed. With recent …

Tuned mass dampers (TMDs) have been widely used to suppress or absorb vibration.
Optimum tuning of the TMD parameters using metaheuristic algorithms demands numerous …

Detecting damages, especially micro-damages, early and accurately is crucial to the safety
of drilling risers. This study presents a high-precision model for detecting micro-damages in …

Based on a prototype of the Bei**g subway tunnel, this research conducts large-scale
model experiments to systematically investigate the vibration response patterns of tunnels …

Monitoring civil engineering infrastructure is crucial to ensuring that the structures can
continue to function properly. An important aspect of this assessment is detecting structural …

Damage identification using the sensitivity of the dynamic characteristics of the structure of
concern has been studied considerably. Among the dynamic characteristics used to locate …