Recently, more attention has been paid to Artificial Neural Network (ANN) in the field of
damage identification of engineering structures based on modal analysis. This paper …

A simple, yet powerful, new technique based on Artificial Neural Network (ANN) combined
with Particle Swarm Optimization (PSO) for damage quantification in laminated composite …

This paper presents a new methodology for damage identification and quantification in two-
and three-dimensional structures. The application of the proposed methodology is …

Experimentally and numerically obtained displacement mode shapes are utilized as input
data to artificial neural networks (ANNs) and mode shape curvature technique. Frequency …

In the civil infrastructure, the structures made up of tubular sections played an important role
due to an economic point of view, lower self-weight, and stability against functional loads …

In the present work, the existence of multiple damage locations is identified successfully by
using the modified mode shape curvature technique in a cantilever beam. The noisy …

This paper presents an application based on Local Frequency Change Ratio (LFCR) for
damage assessment of three-layer (0 o/90 o/0 o) laminated composite plates. The indicator …

摘要针对层合板在加工和服役过程中出现的结构损伤问题, 提出基于差分法和改进粒子群算法的
两阶段损伤定量检测方法. 首先, 采用单元弹性模量降低的方法定义了结构损伤单元 …

Since laminated composite structures have many high-speed and lightweight applications,
they are subjected to various damages. Thus, damage detection on laminated composite …

Structural Health Monitoring (SHM) is an effective way to evaluate the state of a structure.
Consequently, it guarantees the safety and efficiency of structures throughout their lives …