An experimental-based python programming for structural health monitoring of non-engineered RC frame

Most of the damages were experienced on the buildings which were conventionally built without any consideration of IS codal provisions conveniently called non-engineered structures. Non-engineered structures are frequently affected by vibrations due to various natural and artificial sources. Thus, it needs special attention. It is, therefore, necessary to check the performance of non-engineered structures through various health monitoring techniques. A piezoelectric-ceramic (PZT) sensor-based technique called electromechanical impedance (EMI), in which the sensors efficiently operate at a high-frequency range and can typically detect damage at the initial level which is implemented for the purpose. In this research work, experimental tests are performed on the non-engineered reinforced concrete frame using EMI technique by utilizing a PZT sensor which is bonded to the structure using the high-strength epoxy adhesive. The experiment is carried out to identify and locate the damages using frequency variations, and the severity was checked using extracted equivalent parameter; damage index. Second, a Python programming is developed by the authors to identify and quantify the damage index and root mean square deviation index in the frame. The frequency responses obtained from the experimental tests are used in the programming. The performance of the program is compared with the experimentally calculated parameters to check the efficiency of the programming. According to the results of the comparison, it is observed that python programming can be effectively used for damage detection.