A Review of Dynamic Analysis in Frequency Domain for Structural Health Monitoring

Abstract

Abstract Recently, many different techniques for health monitoring of structure are developed with aim of monitoring the stability of structure with high accuracy and low cost. Nowadays, by advancing technology in the civil engineering field many infrastructures and megastructure are constructed such as towers, dams, bridges and etc. Evaluation of the building stability is complicated in the structure with a complex configuration which led the structural health monitoring process as a challenging issue to ensure the function of the structure during the operation period. To evaluate the serviceability and strength of the building, the subject experts have made a number of attempts to develop damage detection techniques for special building, for example, high-rise building, towers, bridges and dams besides exhibitingeconomical and practical techniques about structural health monitoring systems. In structural assessment procedures, one of the well-known damage detection techniques is referred to as the change of natural frequencies. In addition, many researchers are frequently using the machine learning methods in SHM for identification of damage. Hence, by using these methods, a summary regarding monitoring of special building through frequency domain response of the structure is presented by this study.