Despite continuous evolution and development of structural health monitoring (SHM)
technology, interpreting a huge amount of sensed data from a sophisticated SHM system to …

This study presents and reviews the technical literature and previous studies for the past
three decades on structural damage identification using ANNs and measured FRFs as …

Vibration-based damage detection methods play a vital role in structural health monitoring,
but there are many problems in the application of those traditional damage detection …

Bridge health monitoring has been attempted to ensure the safety of the bridges in their
operations, employing various measurement options like acceleration, strain, displacement …

A bi-level damage detection algorithm that utilizes dynamic responses of the structure as
input and neural network (NN) as a pattern classifier is presented. The signal anomaly index …

Structural strain responses are extensively applied in the field of structural health monitoring
(SHM); however, previous studies have focused on the damage identification methods …

This article presents the health monitoring of carbon fiber-reinforced plastic (CFRP)
structures using a data-driven deep transfer learning approach to facilitate mapping signal …

Damages to various building structures often occur over their service life and can
occasionally lead to severe structural failures, threatening the lives of its residents. In recent …

One of the most important concepts in the context of structural health monitoring (SHM) is to
find a method that would be able to detect the occurrence of damage, find its location, and …

To make comparison between classic necking stress solution Bridgman formula and
ChenChi formula, the difference of necking surface profile assumptions in these two …