Identification of Damage on Sluice Hoist Beams Using Local Mode Evoked by Swept Frequency Excitation

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F21%3APU143259" target="_blank" >RIV/00216305:26110/21:PU143259 - isvavai.cz</a>

Result on the web

<a href="https://www.mdpi.com/1424-8220/21/19/6357/htm" target="_blank" >https://www.mdpi.com/1424-8220/21/19/6357/htm</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/s21196357" target="_blank" >10.3390/s21196357</a>

Result language

angličtina

Original language name

Identification of Damage on Sluice Hoist Beams Using Local Mode Evoked by Swept Frequency Excitation

Original language description

As a global vibration characteristic, natural frequency often suffers from insufficient sensitivity to structural damage, which is associated with local variations of structural material or geometric properties. Such a drawback is particularly significant when dealing with the large scale and complexity of sluice structural systems. To this end, a damage detection method in sluice hoist beams is proposed that relies on the utilization of the local primary frequency (LPF), which is obtained based on the swept frequency excitation (SFE) technique and local resonance response band (LRRB) selection. Using this method, the local mode of the target sluice hoist beam can be effectively excited, while the vibrations of other components in the system are suppressed. As a result, the damage will cause a significant shift in the LPF of the sluice hoist beam at the local mode. A damage index was constructed to quantitatively reflect the damage degree of the sluice hoist beam. The accuracy and reliability of the proposed method were verified on a three-dimensional finite element model of a sluice system, with the noise resistance increased from 0.05 to 0.2 based on the hammer impact method. The proposed method exhibits promising potential for damage detection in complex structural systems.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

20101 - Civil engineering

Project

<a href="/en/project/TF06000016" target="_blank" >TF06000016: Advanced system for monitoring, diagnosis and reliability assessment of large-scale concrete infrastructures</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

SENSORS

ISSN

1424-8220

e-ISSN

1424-3210

Volume of the periodical

21

Issue of the periodical within the volume

19

Country of publishing house

CH - SWITZERLAND

Number of pages

16

Pages from-to

1-16

UT code for WoS article

000727109400001

EID of the result in the Scopus database

2-s2.0-85115376155