Szczegóły publikacji
Opis bibliograficzny
Problems review of the health monitoring of tall type buildings / Khikmat SAIDOV, Janusz SZPYTKO // Journal of KONES ; ISSN 1231-4005. — 2015 — vol. 22 no. 2, s. 191–204. — Bibliogr. s. 201–204, Abstr.
Autorzy (2)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 92206 |
|---|---|
| Data dodania do BaDAP | 2015-09-21 |
| Tekst źródłowy | URL |
| DOI | 10.5604/12314005.1165438 |
| Rok publikacji | 2015 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Journal of KONES |
Abstract
Structural monitoring systems are widely adopted to monitor the behaviour of structures during forced vibration testing or natural excitation. Structural monitoring systems can be found in a number of common structures including aircrafts, ships, bridges, mechanical and civil structures. For example, some building design codes mandate that structures located in regions of high seismic activity have structural monitoring systems installed. This paper is focused on selected problems review of the health monitoring of tall type buildings and automation. The actual problem in structural health monitoring (SHM) is to find the structural damage and its location by performing some statistical pattern recognition on the measured data termed as feature extraction. The damage caused by environmental loads should be repaired; otherwise, it will expand with time and might lead to complete system failure. Dynamic parameters such as velocity, acceleration, and displacement play a significant role in determining the structure dynamics. As well as this paper highlights comprehensive survey about monitoring system used in civil structures (buildings) involving the issues such as influence of different outer forces on buildings and other critical methods for proper analysis of monitoring system used in tall type buildings. Additionally, wide-scale review related to an automation aspect of structural health monitoring of buildings has been presented. A significant observation from this review is that although there are many more SHM studies being reported, the investigators, in general, have not yet fully embraced the well-developed tools from statistical pattern recognition. As such, the discrimination procedures employed are often lacking the appropriate rigor necessary for this technology to evolve beyond demonstration problems carried out in laboratory setting.
