Health Monitoring of Civil Infrastructures by Subspace System Identification Method: An Overview
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 identif...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-04-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/10/8/2786 |
| _version_ | 1827718464874217472 |
|---|---|
| author | Hoofar Shokravi Hooman Shokravi Norhisham Bakhary Seyed Saeid Rahimian Koloor Michal Petrů |
| author_facet | Hoofar Shokravi Hooman Shokravi Norhisham Bakhary Seyed Saeid Rahimian Koloor Michal Petrů |
| author_sort | Hoofar Shokravi |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-10T20:25:20Z |
| format | Article |
| id | doaj.art-97f7df4d7a454772a2a6826b438cf5ad |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T20:25:20Z |
| publishDate | 2020-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-97f7df4d7a454772a2a6826b438cf5ad2023-11-19T21:53:27ZengMDPI AGApplied Sciences2076-34172020-04-01108278610.3390/app10082786Health Monitoring of Civil Infrastructures by Subspace System Identification Method: An OverviewHoofar Shokravi0Hooman Shokravi1Norhisham Bakhary2Seyed Saeid Rahimian Koloor3Michal Petrů4Faculty of Civil Engineering, Universiti Teknologi Malaysia, Skudai 81310, MalaysiaDepartment of Civil Engineering, Islamic Azad University, Tabriz 5157944533, IranFaculty of Civil Engineering, Universiti Teknologi Malaysia, Skudai 81310, MalaysiaInstitute for Nanomaterials, Advanced Technologies and Innovation (CXI), Technical University of Liberec (TUL), Studentska 2, 461 17 Liberec, Czech RepublicInstitute for Nanomaterials, Advanced Technologies and Innovation (CXI), Technical University of Liberec (TUL), Studentska 2, 461 17 Liberec, Czech RepublicStructural 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.https://www.mdpi.com/2076-3417/10/8/2786structural health monitoring (SHM)vibration-based damage detectionsystem identificationsubspace system identification (SSI) |
| spellingShingle | Hoofar Shokravi Hooman Shokravi Norhisham Bakhary Seyed Saeid Rahimian Koloor Michal Petrů Health Monitoring of Civil Infrastructures by Subspace System Identification Method: An Overview Applied Sciences structural health monitoring (SHM) vibration-based damage detection system identification subspace system identification (SSI) |
| title | Health Monitoring of Civil Infrastructures by Subspace System Identification Method: An Overview |
| title_full | Health Monitoring of Civil Infrastructures by Subspace System Identification Method: An Overview |
| title_fullStr | Health Monitoring of Civil Infrastructures by Subspace System Identification Method: An Overview |
| title_full_unstemmed | Health Monitoring of Civil Infrastructures by Subspace System Identification Method: An Overview |
| title_short | Health Monitoring of Civil Infrastructures by Subspace System Identification Method: An Overview |
| title_sort | health monitoring of civil infrastructures by subspace system identification method an overview |
| topic | structural health monitoring (SHM) vibration-based damage detection system identification subspace system identification (SSI) |
| url | https://www.mdpi.com/2076-3417/10/8/2786 |
| work_keys_str_mv | AT hoofarshokravi healthmonitoringofcivilinfrastructuresbysubspacesystemidentificationmethodanoverview AT hoomanshokravi healthmonitoringofcivilinfrastructuresbysubspacesystemidentificationmethodanoverview AT norhishambakhary healthmonitoringofcivilinfrastructuresbysubspacesystemidentificationmethodanoverview AT seyedsaeidrahimiankoloor healthmonitoringofcivilinfrastructuresbysubspacesystemidentificationmethodanoverview AT michalpetru healthmonitoringofcivilinfrastructuresbysubspacesystemidentificationmethodanoverview |