In this paper, taking the cantilever beams as example, a novel and simple damage localization approach is proposed: the
Curvature Difference Probability Method of Waveform Logarithms of Standard Deviation (CDPWLSD). Firstly, the
feature, the common Logarithms of Standard Deviation (LSD) for the response signals before and after damage should
be computed at every measured node. Then, the curvature changes of the waveform LSD are selected as candidates for
the potentially damaged locations. Lastly, the probability of every potentially damaged element presenting in multiple
identifications is considered to determine the finally damaged elements. Numerical results of both single and multiple
damage cases show that the proposed approach can be used to locate damage very well. And it is still effective even if
the noise level is up to 15%.
Smart material structure originated from aerospace area has been a research hotspot in the application of civil
engineering, shipping, and so on. For structural health monitoring of civil engineering, the research about highperformance
sensing unit of smart material structure is very important, and this will possibly push further the
development of health monitoring and diagnosis technique. As one of the piezoelectric materials belonging to smart
materials, PVDF (Polyvinylidene Fluoride) film is widely concerned for its property advantages of low cost, good
mechanical ability, high sensibility, resistance of corrosion.
In this paper, for the validation of using PVDF for sensing unit for structural local monitoring of civil engineering, an
experimental system of PVDF sensor for structural local monitoring on a bridge model is built. Based on the operating
mechanism of PVDF, its measure circuit and characteristics(quasi-static and dynamic strain responding) are introduced.
A bridge model is designed, and experiments have also been done for structural local health monitoring using PVDF.
The experimental results show that, PVDF can finish impact response monitoring and damage detection of a bridge
model, and the developed experimental system with simple and easy implement can be used for practical monitoring