Applications to Structural Health Monitoring

Xu B, Senesi M, Ruzzene M. Frequency-steered acoustic arrays application to structural health monitoring of composite plates. J Eng Mater Tech Trans ASME 2011 133(1) 011003. http //dx.doi.Org/10.1115/l.4002638. 

In this chapter, a Bayesian model updating method using incomplete modal data is presented with applications to structural health monitoring. As reported in the literature [18,51,52,267], the realistic assumption is made that only the modal frequencies and partial mode shapes of some modes are measured system mode shapes are also introduced, which avoid mode matching between the measured modes and those of the dynamical model. The novel feature... 

In the next section, the proposed updating approach is presented which provides estimates of the system modal frequencies and system mode shapes, as well as estimates of the stiffness model parameters, based on incomplete modal data. Examples with a twelve-story building and a three-dimensional braced frame wiU be used to demonstrate the method with applications to structural health monitoring. 

A Bayesian model updating methodology is presented with application to structural health monitoring. The method utilizes noisy incomplete modal data, i.e., there can be missing mode... 

Erazo K (2015) Non-linear state estimation with application to structural health monitoring. PhD dissertation. University of Vermont... 

If the mathematical model for the system of concern has too many uncertain parameters, the measurement will not provide sufficient mathematical constraints/equations to uniquely identify the uncertain parameters. However, experienced engineers can identify the critical substructures for monitoring. Then, a free body diagram can be drawn to focus on these critical substructures only. Note that the internal forces on the boundary of the substructures are unknown and difficult to measure, so they are treated as an uncertain input to the substructure. Furthermore, these internal forces share the dominant frequencies of the structure so they cannot be modeled arbitrarily as white noise or other prescribed colored noise. However, with the same idea as in Yuen and Katafygiotis [294], these interface forces can be treated as unknown inputs without assuming their time-frequency content [289]. This enables a large number of possible applications in structural health monitoring and also enhances the computational efficiency since one does not need to consider the whole system. 

However, MEMS sensors are not available for all kind of applications regarding structural health monitoring in civil engineering. Therefore, sensor nodes are developed to enable motes to communicate with conventional sensors as well, i.e. in addition to MEMS. These sensing techniques are called hybrid sensor nodes. Although these sensors are low-power sensors, they will partly be replaced by MEMS as soon as they are available. 

Kirikera GR, Balogun O, Krishnaswamy S. Adaptive fiber bragg grating sensor network for structural health monitoring applications to impact monitoring. Struct Health Monit Int J 2011 10(1) 5-16. http //dx.doi.org/10.1177/1475921710365437. 

Adams D, White J, Rumsey M, Farrar C. Structural health monitoring of wind turbines method and application to a HAWT. Wind Energy 2011 14(4) 603—23. 

Carbon fibre-reinforced composites prepared from carbon tows can be used in sensing networks due to their conductivity. Other conductive fibre-based composites can also be used for this type of application. It is essential to understand the deformation mechanism of the reinforcement before adopting such an approach for structural health monitoring. The efficiency and validity of the sensing mechanism can be affected by any anomaly in the deformation mechanism (Wilusz, 2008). 

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