Structural Health Monitoring and Assessment: Sensors and Analysis
Journal of Sensors
Structural health monitoring (SHM) aims to assess the behavior of structures and evaluate the performance of materials during the life cycle of the structures. Such assessment should include the different parts of the structure and full assembly of the structure as a whole under different cases of loadings. SHM involves the integration of sensors, smart materials, data transmission, computational power, and processing inside the structure. Therefore, sensor properties and characteristics are
... racteristics are essential parameters to detect the accurate behavior of structures. In addition, time and frequency domain analyses for structures' members or performance of materials should be evaluated to assess the full behavior of structures. Nowadays, sensors are developed based on the requirements of the SHM system. In this issue, the structure behaviors and environment conditions are measured and assessed to study the environment impact on structures. In addition, strain and temperature are measured for a bridge and the performance of the bridge under harsh environmental impact is studied. Moreover, the terrestrial laser scanning (TLS) is used to assess the deflection of structures in three dimensions. Ultrasonic waves are used to assess materials' behavior, and fiber Bragg sensors are utilized to determine the damage indicator of a mine station. Real structures, materials, and experiments are evaluated and assessed in this issue to analyze and study the behavior of structures and performance of sensors, respectively. Time series and statistical analyses for strain measurements are used to assess the reliability of prestressed concrete boxgirder bridge. The time and frequency domains are utilized to assess the bridge condition under real load effects. An innovation statistical window selection method is applied to extract the accurate deformation of structures using TLS measurements. Damage detection is evaluated and assessed based on experimental and real measurements using development statistical analyses in time domain. Also, a numerical method and experiments are used to assess the performance of noncontact ultrasonic sensors. In addition, the nonlinear evaluation of the damage behavior of a material is assessed and studied.