Health Monitoring of Civil Infrastructures by Subspace System Identification Method: An Overview
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24620%2F20%3A00007523" target="_blank" >RIV/46747885:24620/20:00007523 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/2076-3417/10/8/2786/htm" target="_blank" >https://www.mdpi.com/2076-3417/10/8/2786/htm</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/app10082786" target="_blank" >10.3390/app10082786</a>
Alternative languages
Result language
angličtina
Original language name
Health Monitoring of Civil Infrastructures by Subspace System Identification Method: An Overview
Original language description
Structural health monitoring (SHM) is the main contributor of the future’s smart city to deal with the need for safety, lower maintenance costs, and reliable condition assessment of structures. Among the algorithms used for SHM to identify the system parameters of structures, subspace system identification (SSI) is a reliable method in the time-domain that takes advantages of using extended observability matrices. Considerable numbers of studies have specifically concentrated on practical applications of SSI in recent years. To the best of author’s knowledge, no study has been undertaken to review and investigate the application of SSI in the monitoring of civil engineering structures. This paper aims to review studies that have used the SSI algorithm for the damage identification and modal analysis of structures. The fundamental focus is on data-driven and covariance-driven SSI algorithms. In this review, we consider the subspace algorithm to resolve the problem of a real-world application for SHM. With regard to performance, a comparison between SSI and other methods is provided in order to investigate its advantages and disadvantages. The applied methods of SHM in civil engineering structures are categorized into three classes, from simple one-dimensional (1D) to very complex structures, and the detectability of the SSI for different damage scenarios are reported. Finally, the available software incorporating SSI as their system identification technique are investigated.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
21100 - Other engineering and technologies
Result continuities
Project
<a href="/en/project/EF16_025%2F0007293" target="_blank" >EF16_025/0007293: Modular platform for autonomous chassis of specialized electric vehicles for freight and equipment transportation</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Applied Sciences-Basel
ISSN
2076-3417
e-ISSN
—
Volume of the periodical
10
Issue of the periodical within the volume
8
Country of publishing house
CH - SWITZERLAND
Number of pages
29
Pages from-to
—
UT code for WoS article
000533352100150
EID of the result in the Scopus database
2-s2.0-85084658997