The roof of Dalian gymnasium was designed in the form of suspen-dome structure. A structural health–monitoring system has been developed for the roof structure to guarantee the safety condition during construction process as well as in future service. In this article, a monitoring scheme was proposed in detail according to the mechanical characteristics of the roof structure. Fiber Bragg grating sensors, inclinometers, and accelerometers were applied to measure necessary structural information. In order to interrogate different types of sensors, a novel data acquisition device of the structural health–monitoring system was also introduced and has achieved multitudinous physical variable synchronization acquisition. By analyzing the data obtained during the construction and normal operation of the gymnasium, the structural health condition was evaluated and the structural damage could subsequently be located.
BrownjohnJMWBoccioloneMCuramiAet al. (1994) Humber Bridge full-scale measurement campaigns 1990–1991. Journal of Wind Engineering and Industrial Aerodynamics52(94): 185–218.
2.
ChanTHTYuLTamHYet al. (2006) Fiber Bragg grating sensors for structural health monitoring of Tsing Ma bridge: background and experimental observation. Engineering Structures28(5): 648–659.
3.
CigadaAMoschioniGVanaliMet al. (2010) The measurement network of the San Siro Meazza stadium in Milan: origin and implementation of a new data acquisition strategy for structural health monitoring. Experimental Techniques34(1): 70–81.
4.
DongX (2009) Study on structural dynamic model updating and damage detecting based on sensitivity analysis. PhD Thesis, Lanzhou University of Technology, Lanzhou, China.
5.
GiurgiutiuVCucA (2005) Embedded non-destructive evaluation for structural health monitoring, damage detection, and failure prevention. Shock and Vibration Digest37(2): 505–511.
6.
GlisicBInaudiD (2003) Integration of long-gage fiber-optic sensor into a fiber-reinforced composite sensing tape. In: Proceedings of SPIE—The international society for optical engineering, San Diego, CA, 22 July.
7.
KangWChenZLamHFet al. (2003) Analysis and design of the general and outmost-ring stiffened suspen-dome structures. Engineering Structures25(13): 1685–1695.
8.
KoJMNiYQ (2005) Technology developments in structural health monitoring of large-scale bridges. Engineering Structures27(12): 1715–1725.
9.
LiAMiaoCLiZet al. (2003a) Health monitoring system for the Runyang Yangtse River Bridge. Journal of Southeast University (Natural Science Edition)33(5): 544–548.
10.
LiDSZhangYRenL (2011) Sensor deployment for structural health monitoring and evaluation. Advances in Mechanics41(1): 39–50.
11.
LiHNLiDS (2002) Safety assessment, health monitoring and damage diagnosis for structures in civil engineering. Earthquake Engineering and Engineering Vibration22(3): 82–90.
12.
LiHNRenL (2008) Structural Health Monitoring Fiber Optic Sensing Technology. Beijing, China: China Architecture & Building Press.
13.
LiHNGaoDWYiTH (2008) Advances in structural health monitoring system in civil engineering. Advances in Mechanics38(2): 151–166.
14.
LiHNRenLJiaZGet al. (2015) State-of-the-art in structural health monitoring of large and complex civil infrastructures. Journal of Civil Structural Health Monitoring6(1): 3–16.
15.
LiZLiATommyCHet al. (2003b) Finite element modeling for health monitoring and condition assessment of long-span bridges. Journal of Southeast University (Natural Science Edition)33(5): 562–572.
16.
MontalvaoDMaiaNMMRibeiroAMR (2006) A review of vibration-based structural health monitoring with special emphasis on composite materials. Shock and Vibration Digest38(4): 295–326.
17.
ParkGFarrarCRScaleaFLet al. (2006) Performance assessment and validation of piezoelectric active-sensors in structural health monitoring. Smart Materials and Structures15(6): 1673–1683.
18.
PinesDAktanAE (2002) Status of structural health monitoring of long-span bridges in the United States. Progress in Structural Engineering and Materials4(4): 372–380.
19.
QinJXuRXuY (2009) Research on health monitoring system in national indoor gymnasium. Construction Technology38(3): 40–43.
20.
RenLYuanCLLiHNet al. (2016) Structural health monitoring system developed for Dalian stadium. International Journal of Structural Stability and Dynamics16(4): 70–81.
21.
SuJZXiaYXuYLet al. (2014) Settlement monitoring of a supertall building using the Kalman filtering technique and forward construction stage analysis. Advances in Structural Engineering17(6): 881–893.
22.
SumitoroSMatsuiYKonoMet al. (2001) Long span bridge health monitoring system in Japan. Health Monitoring and Management of Civil Infrastructure Systems4337: 517–524.
23.
WuZFujinoY (2005) Structural health monitoring and intelligent infrastructure. Smart Materials and Structures14(3): 448–464.
24.
XiaYZhangPNiYQet al. (2014) Deformation monitoring of a super-tall structure using real-time strain data. Engineering Structures67: 29–38.
25.
YiTHLiHNGuM (2011) Multiple optimization strategies based sensor placement method for structural health monitoring. Journal of Building Structures32(12): 217–223.
26.
ZhangQLLvJLiHet al. (2013) Numerical analysis and monitoring research for construction progress of Shanghai Tower. Building Technique42(15): 9–12.
27.
ZhengJQuWLZhangQL (2007) Structural health monitoring for the steel bracket of Shenzhen Civil Center. Building Structure37(3): 57–60.
28.
ZhouGDYiTHChenB (2016) Innovative design of a health monitoring system and its implementation in a complicated long-span arch bridge. Journal of Aerospace Engineering30(2): B4016006.
29.
ZhouX (2010) Structural design and health monitoring of Jinan Olympic Sports Center. Engineering Mechanics27(2): 105–113.
