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Fatigue v-notch sensor for monitoring the health of critical structures
(Elsevier - Division Reed Elsevier India Pvt Ltd, 2019) Hadyia, Ahmed; Gungor, Ali
The principal points of this paper include describing the design, suggesting improvements in the V-notch sensors, evaluating stresses to predict the failure of critical components (such as bridge ways) by using ANSYS simulations to estimate the stresses through V-notch geometry passive sensors with different depths in the structure. The sensor developed in this study consists of six beams with opposite edge V-notches that have been designed parallel to the applied tension load of a steel structure. When the offset value lies in the range of 3.2e-2 mm, it decreases the value of the Von-Mises stress after this point of up to 0.214e10 Pa while the displacement value reaches up to 7.824e-2 mm. These results are linked to different V-notch parameters, including angle orientation, notch depth, mechanical properties, boundary conditions and applied tension loads, which show that the Von-Mises stress increases with the increasing load ratio. In addition, the increase in the number of sensor arms in the present configuration can accommodate additional notches, which possibly tends to lower stress ranges with more loading cycles. (C) 2018 Karabuk University. Publishing services by Elsevier B.V.