چكيده به لاتين
Structural Health Monitoring (SHM) has an effective role to improve the management and increasing the reliability of infrastructures. To this end, data acquisition, data processing and estimating the current status of the structure should be taken into consideration. Determining the number and the placement of the sensors, is one of the major challenges in this field due to the high price of the sensors and related equipment (about thousands of dollars). In this Thesis, a new index (SDI) for evaluating the optimality of sensor networks is introduced. Then, Using the S and V shape transfer functions of the binary particle swarm algorithms (BPSO), the new Index is optimized to investigate the optimal sensor placement for a benchmark bridge. As the final evaluation, Mean of Square Errors between the analytical and estimated mode shapes are examined.
In order to compare the results with the research of Ting-air et-all (2017), all the evaluation indicators such as the type of interpolation, the number of repetitions of algorithms, etc. have been chosen similar. Studies have shown that the performance of the particle swarm algorithm has been improved by selecting the appropriate conversion function from 20 to 60 percent in the desired problem.
