Structural Health Monitoring Based on Bayesian Updating Theory
Truss structures are widely implemented worldwide, and their structural safety issues have garnered significant societal attention. Due to their extended service life, material aging in truss structures becomes inevitable, potentially creating safety hazards during routine usage. Under these circums...
Gespeichert in:
| Veröffentlicht in: | 2025 IEEE 3rd International Conference on Image Processing and Computer Applications (ICIPCA) S. 138 - 144 |
|---|---|
| 1. Verfasser: | |
| Format: | Tagungsbericht |
| Sprache: | Englisch |
| Veröffentlicht: |
IEEE
28.06.2025
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Abstract | Truss structures are widely implemented worldwide, and their structural safety issues have garnered significant societal attention. Due to their extended service life, material aging in truss structures becomes inevitable, potentially creating safety hazards during routine usage. Under these circumstances, health monitoring of truss structures becomes crucial. This paper employs Bayesian updating theory combined with rejection sampling methodology, utilizing a simple truss structure as an experimental case study for structural health monitoring, to explore the potential applications of Bayesian updating theory in this field. The results demonstrate that data obtained from proper loading modes can lead to favorable updating effects. Different load modes have different updating effects on web members and chord members. Preliminary outcome prediction prior to updating can help avoid resource wastage. Multiple measuring points should be used to improve the update accuracy when collecting the load information of the members. The findings of this study can provide valuable references for practical engineering applications. |
|---|---|
| AbstractList | Truss structures are widely implemented worldwide, and their structural safety issues have garnered significant societal attention. Due to their extended service life, material aging in truss structures becomes inevitable, potentially creating safety hazards during routine usage. Under these circumstances, health monitoring of truss structures becomes crucial. This paper employs Bayesian updating theory combined with rejection sampling methodology, utilizing a simple truss structure as an experimental case study for structural health monitoring, to explore the potential applications of Bayesian updating theory in this field. The results demonstrate that data obtained from proper loading modes can lead to favorable updating effects. Different load modes have different updating effects on web members and chord members. Preliminary outcome prediction prior to updating can help avoid resource wastage. Multiple measuring points should be used to improve the update accuracy when collecting the load information of the members. The findings of this study can provide valuable references for practical engineering applications. |
| Author | Chen, Ziyu |
| Author_xml | – sequence: 1 givenname: Ziyu surname: Chen fullname: Chen, Ziyu email: 20231150261@stu.ynu.edu.cn organization: School of Architecture and Planning Yunnan University,Kunming,China |
| BookMark | eNo1j8FKw0AURUfQhdb-gYv4AamZvJmXvo1Qg9pARcG4LpPJix2IkzKZLvL3RtTVPdwDF-6VOPeDZyFuZbaSMqO7qqzeyg1qVHqVZ7meWwlrJDwTSypoDSB1nq-VvBT37zGcbDwF0ydbNn08JC-Dd3EIzn8mD2bkNhn8DBOPzvjk49ia-KPqAw9huhYXnelHXv7lQtRPj3W5TXevz1W52aWOIKbKyAbRSImNlU1bsCWwQAgdGNIKrWWVMTWGZtNoBEltp1qwuS4QtIWFuPmddcy8Pwb3ZcK0_38F3yYQR_I |
| ContentType | Conference Proceeding |
| DBID | 6IE 6IL CBEJK RIE RIL |
| DOI | 10.1109/ICIPCA65645.2025.11138696 |
| DatabaseName | IEEE Electronic Library (IEL) Conference Proceedings IEEE Xplore POP ALL IEEE Xplore All Conference Proceedings IEEE/IET Electronic Library (IEL) (UW System Shared) IEEE Proceedings Order Plans (POP All) 1998-Present |
| DatabaseTitleList | |
| Database_xml | – sequence: 1 dbid: RIE name: IEEE/IET Electronic Library url: https://ieeexplore.ieee.org/ sourceTypes: Publisher |
| DeliveryMethod | fulltext_linktorsrc |
| EISBN | 9798331522841 |
| EndPage | 144 |
| ExternalDocumentID | 11138696 |
| Genre | orig-research |
| GroupedDBID | 6IE 6IL CBEJK RIE RIL |
| ID | FETCH-LOGICAL-i93t-4a1b66a116bc1bd7ec93c3963f3a9546cce40e9ba9ec9b56319df4d3c257635c3 |
| IEDL.DBID | RIE |
| IngestDate | Wed Sep 10 07:40:45 EDT 2025 |
| IsPeerReviewed | false |
| IsScholarly | false |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-i93t-4a1b66a116bc1bd7ec93c3963f3a9546cce40e9ba9ec9b56319df4d3c257635c3 |
| PageCount | 7 |
| ParticipantIDs | ieee_primary_11138696 |
| PublicationCentury | 2000 |
| PublicationDate | 2025-June-28 |
| PublicationDateYYYYMMDD | 2025-06-28 |
| PublicationDate_xml | – month: 06 year: 2025 text: 2025-June-28 day: 28 |
| PublicationDecade | 2020 |
| PublicationTitle | 2025 IEEE 3rd International Conference on Image Processing and Computer Applications (ICIPCA) |
| PublicationTitleAbbrev | ICIPCA |
| PublicationYear | 2025 |
| Publisher | IEEE |
| Publisher_xml | – name: IEEE |
| Score | 1.9127927 |
| Snippet | Truss structures are widely implemented worldwide, and their structural safety issues have garnered significant societal attention. Due to their extended... |
| SourceID | ieee |
| SourceType | Publisher |
| StartPage | 138 |
| SubjectTerms | Accuracy Aging Bayes methods Bayesian updating Buildings Computer applications Displacement measurement Hazards Image coding Loading Monitoring rejection sampling structural health monitoring truss |
| Title | Structural Health Monitoring Based on Bayesian Updating Theory |
| URI | https://ieeexplore.ieee.org/document/11138696 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlZ1LSwMxEMcHLSKeVKz4JoLXtN0mm8dF0GKxIKVghd5KHlPoZVu0Cn57J9lW8eDBW9jsg9llmJlsfv8BuOlGLV3HC065uOEyYuC2nGnuiyRXZ51xKoPCT3o4NJOJHa1h9czCIGLefIatNMz_8uMivKelsnZqi26UVduwrbWqYa1duF7rZrYHvcGod6eSPgoVft2ytTn_V-eUHDj6-_985AE0fxA8NvoOLoewhdUR3D5ntdeklMFqfojVPpkW59g9BaTIFhUNPjGxkexlmeAFmqoJ_CaM-w_j3iNfN0DgcytWXLrCK-WKQvlQ-KgxWBEEecxMOFtKFQLKDlrvLM34UpE3xZmMIqQiQpRBHEOjWlR4AoySlELTbZQynrw0ukiVBOVe1pSSLsFTaCbbp8ta4mK6Mfvsj-PnsJfecNoz1TUX0CDr8RJ2wsdq_vZ6lT_MF2CFj_U |
| linkProvider | IEEE |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlZ1LSwMxEMcHraKeVKz4NoLX1O7msclF0GJpsZaCFXoreRV62Ratgt_eSbZVPHjwFjZklyQMM5PN7z8A17kvuGlaRjEWV5T74KgWk4LaLMrVaaOMTKBwr-j31WikB0tYPbEwIYR0-Sw0YjP9y_cz9x6Pym5iWXQltVyHDcF53qxwrS24Wipn3nRb3UHrTkaFFEz9ctFYjfhVOyW5jvbuPz-6B_UfCI8Mvt3LPqyF8gBun5Pea9TKIBVBRCqrjMdz5B5dkiezEhufIdKR5GUe8QXsqhj8OgzbD8NWhy5LINCpZgvKTWalNFkmrcusL4LTzDG0mQkzWnDpXODNoK3R2GOFRHvyE-6Zi2kEE44dQq2cleEICIYpWYGvkVJZtFNvPOYSGH1pJTgOCcdQj3MfzyuRi_Fq2id_PL-E7c7wqTfudfuPp7ATVzveoMrVGdRwJcI5bLqPxfTt9SJt0hcO3pM8 |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=2025+IEEE+3rd+International+Conference+on+Image+Processing+and+Computer+Applications+%28ICIPCA%29&rft.atitle=Structural+Health+Monitoring+Based+on+Bayesian+Updating+Theory&rft.au=Chen%2C+Ziyu&rft.date=2025-06-28&rft.pub=IEEE&rft.spage=138&rft.epage=144&rft_id=info:doi/10.1109%2FICIPCA65645.2025.11138696&rft.externalDocID=11138696 |