2/21/2023 0 Comments Virtual cz crackWhile accelerometers are typically employed for beam-column-based structures such as buildings, these are not the optimal sensors for structures whose failure modes are insensitive to the structure’s vibration characteristics. These systems then evaluate possible failure modes, damage levels, and locations. Many structural health monitoring systems employ accelerometers, displacement sensors, or piezoelectric sensors located at selected locations to monitor changes in the structure’s deformation, natural frequencies, and modal shapes. Sensing and quantifying damage plays a critical role in the process of structural health monitoring, which aims to detect structural damage and provide early warnings when a possible risk of failure is detected. Finally, this paper demonstrates this method by using the results of two experiments on RC tubular containment vessel structures. While the engineering significance of the damage indices is structure dependent, when the damage indexing method is used for structural health monitoring, the damage indices safety thresholds can further be defined based on the structure type under consideration. These damage indices not only quantify the damage of an RC structure, but also the contents of shear and flexural failures. According to the orientations of the cracks analyzed by image analysis, the cracks can be classified as either shear or flexural, and the overall damage index can be separated into shear and flexural damage indices. Fractal dimension analysis gives the flexural cracks and shear cracks an overall damage index ranging between 0 and 1. The image-based crack measurement method identifies cracks locations, opening widths, and orientations. This work proposes a damage-indexing method by integrating an image-based crack measurement method and a crack quantification method. While the quantitative relationship between cracks and structural damage depends on many factors, cracks need to be detected and quantified in an automatic manner for further investigation into structural health monitoring. Compared with accelerometers, image analysis is good at monitoring area-based responses, such as crack patterns at critical regions of reinforced concrete (RC) structures. Image analysis techniques have been applied to measure the displacements, strain field, and crack distribution of structures in the laboratory environment, and present strong potential for use in structural health monitoring applications.
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