Structural health monitoring is crucial for the timely damage diagnosis of civil infrastructure.
This paper explores the damage detection method based on the ant colony algorithm (ACO) …

Structural damage assessment is crucial for structural health monitoring to evaluate the
safety and residual service life of the structure. To solve the structural damage detection …

Purpose–The interest in the ability to detect damage at the earliest possible stage is
pervasive throughout the civil engineering over the last two decades. In general, the …

A method is presented to detect and quantify structural damages from changes in modal
parameters (such as natural frequencies and mode shapes). An inverse problem is …

Swarm-based optimization techniques are very popular and well known in the field of
damage detection of structures. Present paper evaluates the performance of three different …

Structural damage detection remains as a challenging task in the field of structural health
monitoring (SHM), which has occupied many scientific communities over the last two …

A numerical method is presented here to detect and assess structural damages from
changes in natural frequencies using Ant Colony Optimization (ACO) algorithm. It is possible …

The application of various computational methods in Structural Health Monitoring (SHM) of
structures are gaining importance. One of the methodologies used is Artificial Neural …

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 …

A method is presented to detect and assess structural damages from changes in natural
frequencies using ant colony optimization (ACO) algorithm. It is possible to formulate the …