Structural Health Monitoring and Damage Detection

 

Summary of Activities

Structural health monitoring and damage detection refers to the use of in-situ, non-destructive sensing and analysis of structural characteristics and responses for the purpose of detecting changes that may indicate damage or degradation. With the advance in sensor systems, data acquisition, data communication and computational methodologies, instrumentation-based monitoring has been a widely accepted technology to monitor and diagnose structural health and conditions for civil infrastructure systems. The Centre has undertaken a lot of research and consultancy projects related to performance-based structural health monitoring of tall buildings and long-span bridges, moving force identification of bridges, fatigue assessment of large civil structures, vibration-based damage detection of large-scale bridges, post-earthquake damage evaluation of high-rise buildings, and health monitoring system-based bridge rating system. Technological Services provided include the following:

  • Ambient and forced vibration testing of buildings and bridges
  • Special sensor and sensing network development
  • Performance-based design of structural health monitoring systems
  • Model updating and validation based on field vibration measurement
  • Fatigue assessment and damage detection methodologies
  • Moving force identification and condition evaluation of bridges
  • Structural health monitoring system-based bridge rating system

Representative Projects

  • Wind and structural health monitoring of Lantau Fixed Crossing and Ting Kau Bridge
  • Investigation for rehabilitation of Tsing Yi South Bridge
  • Experimental study on seismic damage detection of tall building structures
  • Innovative optical fibre sensors for structural health monitoring of Tsing Ma Bridge
  • Performance-based health monitoring of large civil engineering structures
  • Establishment of bridge rating system for Tsing Ma Bridge
  • Force identification of sliding support systems
  • Establishment of a test-bed for structural health monitoring of long suspension bridges
  • Design of structural health monitoring system for cable-stayed Sutong Bridge
  • Upgrade of structural health monitoring system for suspension Jiangyin Bridge
  • Development of structural health monitoring system for Guangzhou New TV Tower

Establishment of a test-bed for structural health monitoring of long suspension bridges

Establishment of bridge rating system for Tsing Ma Bridge

 

 

Development of structural health monitoring system for Guangzhou New TV Tower

Major Facilities

  • B&K vibration testing package (BK4802&4817 exciters; BK1049 sine/noise signal generator; BK2708 power amplifier; BK3550 16-channel spectrum analyzer including data acquisition unit BK2816 and signal analyzer unit BK2035).
  • 32 Channel INV303E Data Acquisition and Signal Processing System (with INV-DASP632 software);
  • Computer system with DAT Tape Drive and SPiDAR software specific for on-line health monitoring and compatible with WASHMS;
  • A set of field measurement instrument including exciters, accelerometers, displacement transducers, anemometers, tape recorders, etc.
  • 3m x 3m shaking table (Type: MTS; Degree of freedom: one direction; Frequency range: 1 to 50 Hz; Displacement limit: 100 mm; Acceleration limit: 1 g; Load limit: 10 ton);
  • dSPACE DS1005 real-time control system (DS1005DSP board; DS2003 32ch A/D; DS2102 6ch parallel D/A; PX10N expansion box; CDP1005 total development package);

Select Publications

1.         Chan, T.H.T., Law, S.S. and Yung, T.H. (2000) “Moving force identification using an existing prestressed concrete bridge”, Engineering Structures, 22(10): 1261-1270.

2.         Chan, T.H.T., Li, Z.X. and Ko, J.M. (2001) “Fatigue analysis and life prediction of bridge with health monitoring data - Part II: application”, International Journal of Fatigue, 23(1): 55-64.

3.         Chan, T.H.T., Yu, L., Tam, H.Y., Ni, Y.Q., Liu, S.Y., Chung, W.H. and Cheng, L.K. (2006), “Fiber Bragg grating sensors for structural health monitoring of Tsing Ma Bridge: background and experimental observation”, Engineering Structures, 28(5), 648-659.

4.         Chen, B. and Xu, Y.L. (2007) “A new damage index for detecting sudden change of structural stiffness”, Structural Engineering and Mechanics, 26(3): 315-341.

5.         Hua, X.G., Ni, Y.Q., Ko, J.M. and Wong, K.Y. (2007) “Modeling of temperature-frequency correlation using combined principal component analysis and support vector regression technique”, Journal of Computing in Civil Engineering, ASCE, 21(2): 122-135.

6.         Ko, J.M., Sun, Z.G. and Ni, Y.Q. (2002) “Multi-stage identification scheme for detecting damage in cable-stayed Kap Shui Mun Bridge”, Engineering Structures, 24(7): 857-868.

7.         Ko, J.M. and Ni, Y.Q. (2005) “Technology developments in structural health monitoring of large-scale bridges”, Engineering Structures, 27(12): 1715-1725.

8.         Lam, H.F., Ko, J.M. and Wong, C.W. (1998), “Localization of damaged structural connections based on experimental modal and sensitivity analysis”, Journal of Sound and Vibration, 210(1): 91-115.

9.         Law, S.S., Shi, Z.Y. and Zhang, L.M. (1998) “Structural damage detection from incomplete and noisy modal test data”, Journal of Engineering Mechanics, ASCE, 124(11): 1280-1288.

10.     Law, S.S., Chan, T.H.T., Zhu, X.Q. and Zeng, Q.H. (2001) “Regularization in moving force identification”, Journal of Engineering Mechanics, ASCE, 127(2): 136-148.

11.     Ni, Y.Q., Hua, X.G., Wong, K.Y. and Ko, J.M. (2007) “Assessment of bridge expansion joints using long-term displacement and temperature measurement”, Journal of Performance of Constructed Facilities, ASCE, 21(2): 143-151.

12.     Ni, Y.Q., Zhou, H.F., Chan, K.C. and Ko, J.M. (2008) “Modal flexibility analysis of cable-stayed Ting Kau Bridge for damage identification”, Computer-Aided Civil and Infrastructure Engineering, 23(3): 223-236.

13.     Ni, Y.Q., Wang, B.S. and Ko, J.M. (2002) “Constructing input vectors to neural networks for structural damage identification”, Smart Materials and Structures, 11(6): 825-833.

14.     Ni, Y.Q., Zhou, X.T. and Ko, J.M. (2006) “Experimental investigation of seismic damage identification using PCA-compressed frequency response functions and neural networks”, Journal of Sound and Vibration, 290(1-2): 242-263.

15.     Xu, Y.L. and Chen, J. (2004) “Structural damage detection using empirical modes decomposition: experimental investigation”, Journal of Engineering Mechanics, ASCE, 130(11): 1279-1288.

16.     Xu, Y.L. and Zhao, X. (2006) “Finite element-based force identification of sliding support systems-Part II: numerical Investigation”, Journal of Finite Element in Analysis and Design, 42(4): 249-282.

17.     Zhao, X., Xu, Y.L., Chen, J. and Li, J. (2005) “Identification method for multi-story buildings with unknown ground motion: experimental investigation”, Engineering Structures, 27(8): 1234-1247.

18.     Zhao, X. and Xu, Y.L. (2006) “Finite element-based force identification of sliding support systems-Part I: theory”, Journal of Finite Element in Analysis and Design, 42(4): 229-248.

Contact Information of the contact persons

Prof. Jan-Ming Ko
Department of Civil & Structural Engineering
The Hong Kong Polytechnic University
Kowloon, Hong Kong

Fax:  + 852 - 2362 2574
Phone:  + 852 - 2766 5036
E-mail:  cejmko@polyu.edu.hk

 

Dr. Yi-Qing Ni
Department of Civil & Structural Engineering
The Hong Kong Polytechnic University
Kowloon, Hong Kong

Fax:  + 852 – 2334 6389
Phone:  + 852 - 2766 6004
E-mail: 
ceyqni@polyu.edu.hk

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