@article{(Open Science Index):https://publications.waset.org/pdf/10002558,
	  title     = {Structural Damage Detection via Incomplete Modal Data Using Output Data Only},
	  author    = {Ahmed Noor Al-Qayyim and  Barlas Ozden Caglayan},
	  country	= {},
	  institution	= {},
	  abstract     = {Structural failure is caused mainly by damage that
often occurs on structures. Many researchers focus on to obtain very
efficient tools to detect the damage in structures in the early state. In
the past decades, a subject that has received considerable attention in
literature is the damage detection as determined by variations in the
dynamic characteristics or response of structures. The study presents
a new damage identification technique. The technique detects the
damage location for the incomplete structure system using output
data only. The method indicates the damage based on the free
vibration test data by using ‘Two Points Condensation (TPC)
technique’. This method creates a set of matrices by reducing the
structural system to two degrees of freedom systems. The current
stiffness matrices obtain from optimization the equation of motion
using the measured test data. The current stiffness matrices compare
with original (undamaged) stiffness matrices. The large percentage
changes in matrices’ coefficients lead to the location of the damage. TPC technique is applied to the experimental data of a simply
supported steel beam model structure after inducing thickness change
in one element, where two cases consider. The method detects the
damage and determines its location accurately in both cases. In
addition, the results illustrate these changes in stiffness matrix can be
a useful tool for continuous monitoring of structural safety using
ambient vibration data. Furthermore, its efficiency proves that this
technique can be used also for big structures.},
	    journal   = {International Journal of Civil and Environmental Engineering},
	  volume    = {9},
	  number    = {10},
	  year      = {2015},
	  pages     = {1323 - 1326},
	  ee        = {https://publications.waset.org/pdf/10002558},
	  url   	= {https://publications.waset.org/vol/106},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 106, 2015},
	}