Real Time Prototype to Measure Structural Acceleration and Tilt of High-Rise Building

• Autorzy: Haque M. E , Zain M. F. M , Hannan M. A. , Jamil M. , Asikuzzaman M

Warianty tytułu

PL

Prototyp systemu pomiarowego do badania wibracji i odchylenia konstrukcji budynków

• Języki publikacji: EN

Abstrakty

EN

Smart sensor is the new invention applying to detect the damage of the high-rise civil building structural health. Sensor technology offers new opportunities to advance monitoring for civil large building infrastructure health and maintenance by providing relevant information regarding the condition of high-rise building structural strength at a light price and greater bulk than traditional monitoring tactics. The aim of this article is to validate the MEMS accelerometer sensor to measure vibration and tilt of the high-rise civil building infrastructures. The experimental result shows that the propose prototype has been successfully measured high-rise building vibration and tilt sensing information.

PL

W artykule opisano możliwości zastosowania czujników przyśpieszenia typu MEMS do pomiaru wibracji i odchylenia konstrukcji budynków. Przedstawione wyniki badań eksperymentalnych potwierdzają przydatność tych czujników szczególnie w sytuacjach dużych zagrożeń.

Słowa kluczowe

EN

structural health monitoring; acceleration; tilt; MEMS sensor

PL

czujnik przyspieszenia; czujnik MEMS; ochrona budynku

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2015
• Tom: R. 91, nr 2
• Strony: 177--182
• Opis fizyczny: Bibliogr. 16 poz., rys., tab., wykr.

Twórcy

autor

Haque M. E

• Department of Electrical, Electronics and System Engineering, Univerrsiti Kebangsaan Malaysia (UKM), Selangor, Bangi

autor

Zain M. F. M

• Faculty of Engineering and Bult Environment, Universiti Kebangsaan Malaysia (UKM), Selangor, Bangi, 43600

autor

Hannan M. A.

• Department of Electrical, Electronics and System Engineering, Univerrsiti Kebangsaan Malaysia (UKM), Selangor, Bangi

autor

Jamil M.

• Faculty of Engineering and Bult Environment, Universiti Kebangsaan Malaysia (UKM), Selangor, Bangi, 43600

autor

Asikuzzaman M

• School of Engineering and Information Technology, University of New South Wales

Bibliografia

• [1] Kumar S., Lobiyal D.K., Sensing Coverage Prediction for Wireless Sensor Networks in Shadowed and Multipath Environment. The Scientific World Journal., 2013; (2013).
• [2] Naghdy, F.; Samali, B.; Zhang, N.; Du, H. Robust Sampled-Data Control Of Structures Subject To Parameter Uncertainties and Actuator Saturation, Engineering Structures, 2012; 36 (2012): 9-48.
• [3] Su,W. C.; Huang, C.S.; Hung,S.L.; Chen,L.J.; Lin,W.J. Locating damaged storeys in a shear building based on its substructural natural frequencies, Engineering Structures, 2012;39: 126-138.
• [4] Zheng, W.; Zhu, Y. A bio-inspired memory model for structural health monitoring, Measurement Science and Technology, 2009;20(4): 045704.
• [5] Antoine-Santoni,T.; Santucci, J.F.; Gentili,E.D.; Silvani, X.; Morandini,F.Performance of a protected wireless sensor network in a fire. Analysis of fire spread and data transmission, Sensors, 2009;9(8): 5878-5893.
• [6] Chen Z, Xiao Y, Li X, Li R. A Clustering Protocol for Wireless Sensor Networks Based on Energy Potential Field. The Scientific World Journal 2013;7.
• [7] Wu, W.; Yang,H.; Li, Q.; Chew,D. An integrated information management model for proactive prevention of struck-by-falling object accidents on construction sites, Automation in Construction, 2013; 34:67–74.
• [8] Jang,W. S.; Healy, W.M.; Skibniewski, M.J. Wireless sensor networks as part of a web-based building environmental monitoring system, Automation in Construction, 2008; 17(6): 729–736.
• [9] Pradhananga, N.; Teizer, J. Automaticspatio-temporal analysis of construction site equipment operations using GPS data. Automation in Construction, 2013; 29: 107–122.
• [10] Jang,W., Lee, S., E.D.; Choi, J. Ad-hoc performance of wireless sensor network for large scale civil and construction engineering applications, Automation in Construction, 2012, 26, 32–45.
• [11] Kim, C.; Park, T.; Lim, H.; Kim, H. On-site construction management using mobile computing technology, Automation in Construction, 2013; 35:415–423.
• [12] Haque, M.E.; Zain, M.F.M.; Jamil, M.;Hannan, M. A.; Suman, A.Al. M-array quadrature amplitude modulation wireless sensor network modulator reliability and accuracy analyze in civil SHM. Journal of Computer Science, 2013; 9(12): 1738.
• [13] Haque, M.E.; Zain, M.F.M.; Hannan, M.A.; Jamil, M.; Johari, H. Loss monitoring of star topology sensor network based on scheduling algorithm for assessing structural health information. American Journal of Applied Sciences 2013;10(12):1484-1491.
• [14] Haque, M.E.; Zain, M.F M.; Hannan, M.A.; Jamil, M.; Johari, H. Transmission loss computed of star topology sensor network base on DT, RED and SFQ buffer mechanism for overseeing high rise building structural health, Int. J. Biosci., Biochem. Bioinform 2013; 3:646-649.
• [15] Haque, M.E.; Zain, M.F.M.; Hannan, M.A.; Jamil, M.; Johari, H. Recent Application of Structural Civil Health Monitoring Using WSN and FBG. World Applied Sciences Journal 2012;20(4):585-590.
• [16] Yun, G.; Lee, S.G.; Carletta, J.; Nagayama, T. Decentralized damage identification using wavelet signal analysis embedded on wireless smart sensors. Engineering Structures 2011; 33 (7): 2162-2172.